BF Exam 1 (and 2 (and 3))
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Indiana University, Bloomington *
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Course
F419
Subject
Economics
Date
Feb 20, 2024
Type
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42
Uploaded by ProfessorKnowledge3917
1)
Define Market Efficiency
a)
Argues that asset prices quickly incorporate information
b)
Implies that active investment strategies are unlikely to outperform (net of costs)
passive ones
c)
Implies that corporation need only to look at current price for performance
d)
Market efficiency is the degree to which stock prices reflect all available and
relevant information. It is not possible for an investor to outperform the market
because all available information is already built into all stock prices.
2)
What is the difference between active and passive management? And what does
active management require beyond investor irrationality.
a)
Active management is the belief that the market is making a mistake, and trading
on that belief. Active investment requires that markets are irrational, correlated,
and predictable in some way. Additionally, firms do not respond (by
issuing/repurchasing shares) to adjust the price. Require that markets are efficient
and incorporate the information. Passive management is the belief that the market
incorporates all information already.
b)
Historically active management(aka behavioral finance) is losing market share to
passive management
c)
But active management(aka behavioral finance) is not losing market share to
passive in bond funds
d)
Passive management
3)
Traditional finance typically acknowledges that individuals have behavioral biases
but believes that rational models predict better based on what factors? What is the
response to these arguments by people who believe in behavioral finance?
a)
Factors: arbitrageurs are the rational agents. People on average behave rationally.
Irrationalities "cancel out", people will act rationally with big money at stake,
important players in markets are likely to be rational and smart money wins in the
end. The response of people who believe in behavioral finance are that there are
limits to arbitrage and there is not enough rational money in the market.
4)
What is an investment philosophy?
a)
A set of guiding principles that inform and shape an individual's investment
decision-making process. Value Investing, Growth Investing, Technical Investing
(using past prices and only past prices to predict future prices, based on
weak-form information which is a subset of public information). the universe of
securities
5)
Is passive management identical with buy and hold?
a)
No, passive management is not identical with buy and hold. In a buy and hold,
investors buy stocks and hold them for a long period of time, regardless of
fluctuations in the market. Once in a position the investor is not concerned with
short-term price movements and technical indicators. A passive investor writes an
investment policy statement with an asset allocation plan based on assumptions
about their unique ability, willingness and need to take on risk. The plan defines
the target amount they will invest in each asset class. When it gets too far out of
whack he or she rebalances.
6)
How does the value philosophy differ from the growth philosophy?
a)
Value Investing-Markets systematically undervalue firms with some identifiable
characteristics. Value investors comb the market for stocks that are trading below
fair market value. Other characteristics: Low P/E, high dividend, low p/bv, high
ROE, undervalued stock relative to model using DCF of free cash flow.
b)
Growth Investing-Markets systematically undervalue growth in some companies.
Growth investing is choosing stocks that are expected to grow, or appreciate in
value, over the long-term. Buy companies where P/E>growth, small cap, industry
focused, emerging markets.
7)
Suppose you short 100 shares of IBM now selling at $120 per share. What is your
maximum possible loss? What happens to your maximum lss if you place a stop buy
order at $128?
a)
In principle, potential losses are unbounded, growing directly with increases in
the price of IBM. If the stop-buy order can be filled at $128, the maximum
possible loss per share is $8.
i)
If the price of IBM shares goes above $128, the stop-buy order would be
executed, limiting the losses from the short sale. Maximum possible loss
under this scenario is $800 (100 shares x $8 loss/share).
8)
What benefits do short sellers provide for the securities market?
a)
Short Selling(prudent bear mutual funds) an active investment strategy(closely
related to value and contrarian investing)
i)
Theory: markets tend to be too optimistic and ignore negative information
b)
Short sellers help all investors understand the full range of opinions and views
about a particular stock, a process known as "price discovery". Short sellers run
counter the market's natural bias toward going long, expressing their opinion that
the market is overpriced. Asa result, they help to keep the market in balance with
their contrarian opinions. If investors just want to buy, prices will skyrocket.
Somebody has to step in and sell, and if none of the longs want to, a short seller is
able to supply the shares. This provides additional liquidity to the market.
9)
Data in “Stocks for the long run” shows that a well diversified portfolio outperforms
bonds over every 30 year period in the past 200 years. The standard deviation of
stock return is lower than bonds for twenty and thirty year periods. This has not
been questioned and shows stocks are less risky than bonds. So why is there an
equity risk premium?
a)
No selection biases (survivorship bias, market bias)
b)
Equity Premium Puzzle:A rational risk averse investor would demand a higher
return from bonds than stocks since holding well diversified portfolios of stock is
less risky over the long run.
c)
Stocks outperformed bonds every 30 year period we have data for. There is no
need for an equity risk premium because there is no risk over the very long term.
Maybe the risk premium exists because investors have severe loss aversion or
they don't believe the data. They also likely have a more short-term outlook than
30 years.
10) Assume the market consists of these three stocks. Write down the formula for an
equally weighted index and a value weighted index of these stocks
Stock
Price
Number of Shares
A
$20
1,000
B
$10
20,000
C
$40
5,000
a)
Equal weighted index = (20+10+40)/3 =23.33
b)
Value weights index = (20*1000)+(10*20000)+(40*5000)=420000 (market value
of portfolio
20*(20,000/420,000)+10*(200,000/420,000)+$40*(200,000/420,000) = $24.76
11) How is the Russell 3000 index constructed? How does it differ from the S&P 500
a)
Russell 3000 = Russell 1000 + Russell 3000
i)
Russell 3000 = growth and value
ii)
Russell 1000 = growth and value
iii)
Russell 2000= growth and value
b)
Weights are capitalization weights: capitalization = price * number of shares
c)
The frank russell company takes all 4000 publicly trade stocks and rank them by
market cap
d)
Weighted by market capitalization. These indexes are generated by determining
the total market capitalization of all stocks in the index and dividing by the total
number of shares of all the stocks. Capitalization is a company's outstanding
shares multiplied by its share price, better known as "market capitalization".
However, the Russell 3000 measures the performance of 3,000 publicly held US
companies which represents approximately 98% of the investable US equity
market whereas the S&P500 is comprised of 500 of the most widely traded stocks
in the U.S. and represents about 70% of the total value of U.S. stock markets.
Russell 3000 is more frequently and carefully adjusted.
12) Suppose you are an active money manager and your clients ask you to choose a
broad based index to be your benchmark. (You will probably respond that broad
based indies don’t measure what I am doing, and your client responds he doesn't
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care he just wants to beat the market. If the Russell 3000, S&P500 and Wilshire
5000 have a correlation of .99 which indices would you use and why? Will your
answer be the same if you are a well informed client?
a)
Russell 3000, Wilshire 5000 and S&P500, DIJA: all are in the business of selling
an index plus all the deliverables
i)
All make different choices on index composition construction
methodology
(1) Number of stocks
(2) Converge on stocks
(3) Rules on security changes
b)
S&P 500 and Russell 3000 are almost identical statistically but when small stocks
perform differently to large they separate for short periods
c)
As a manager, you may select the one with the lowest average return as a
benchmark. As an investment client, you may select the one with the highest
average returns. Because none of them are significantly higher than the others, it
may not matter which one you select.
13) Give five reasons why indices are constructed
1.) Market indices can give knowledge that it takes decades to gain from actual
investing experience.
2.) Index data used to confront conjectures with facts.
3.) Index data shows relationships between international markets.
4.) Indices are used to allocate assets: Stock versus bonds, US versus nonUS,
value versus growth.
14) What is the definition of the word statistic? What problem does a statistic attempt to
solve?
a)
Statistic: A statistic is any number computed from a random sample ( mean,
median, mode, variance)
b)
A statistic is often any number computed from some data that
i)
Confirms beliefs (confirmation bias)
ii)
Is easy to remember (recency bias)
c)
Violation of criteria
i)
Style analysis violates the minimum variance to explain how portfolios
behave along the dimensions of value growth large, small
ii)
Factor model violate consistency to gain insight on what variables drive
stock returns
iii)
we can add bias to reduce the variance across samples
d)
A function of the sample data. A number that represents a piece of information.
Statistics attempt to find relationships and help to better understand unknown
(random) variables.
15) What do the mean, median, and mode attempt to measure
a)
All guess at the location of the unknown distribution
b)
Mean: average (expected return)
c)
Median: middle number
d)
Mode: number that appears most often
16) What does variance and standard deviation measure? What investment
assumptions do they make?
a)
Variance: guesses the volatility of the unknown distribution
i)
Minimum variance: means that the statistic has the least amount of
variation from sample to sample of any number computed from the data
b)
Consistency: means that the larger the sample the closer the statistic will get to the
population parameter
c)
Most actual real distributions are not normal and are not symmetrical but are
skewed/fat tailed. (population shift dramatically)
d)
Variance--Measure of dispersion of the distribution. Measure of risk. Standard
Deviation--The square root of the variance/ The only relevant measure of risk.
The assumption that the variance and SD make is that the return distributions are
normal.
17) What is the basic difference in how Kurtosis and Skewness are computed? What do
they attempt to measure?
a)
Kurtosis: guesses the outliers
b)
Skewness: guesses how even the observations are distributed
i)
Skewed left: trails off to the left with clusters to the right. (mode is ahead
of the median which is ahead of the mean)
ii)
Skewed right: trails off to the right with clustered to the left (mean is
ahead of median ahead of mode)
c)
The main difference is that X-bar is taking to the 3rd power for skewness, and to
the 4th power for kurtosis. Negatively skewed distributions have a long left tail,
which for investors can mean a greater chance of extremely negative outcomes.
Positive skew would mean frequent small negative outcomes, and extremely bad
scenarios are not as likely. Applied to investment returns, non symmetrical
distributions are generally described as being either positively skewed (meaning
frequent small losses and few extreme gains) or negatively skewed (meaning
frequent small gains and a few extreme losses). Kurtosis refers to the degree of
peak in a distribution. >ore peak than normal means that a distribution also has
fatter tails and that there are less chances of extreme outcomes compared to a
normal distribution.
18) What is the difference between the sample mean (or sample median/mode) and the
population mean (median/mode)
a)
Sample Mean implies the mean of the sample derived from the whole population
randomly. Population Mean is the average of the entire group.
19) What is the St. Petersburg Paradox and why is it relevant for expected utility
a)
How much would you pay to participate in the following gamble?
i)
Fair coin tossed until head appears. If the first head appears on the nth toss
then the payoff is 2^n dollars
b)
Daniel Bernoulli’s solution: people’s utility from wealth, u(W), is not linearly
related to wealth (W) but rather increases at a decreasing rate- the famous idea of
diminishing marginal utility, u’(W) >0 and u”(W)<0
i)
A person’s valuation of a risky venture is not the expected return of that
venture, but rather the expected utility from that venture
(1) E[w](U(X[i]))=
(2) u(W)=ln(W)
(3) Then E[u(W)] = sum u(w) * probability this would be the utils.
The wealth that gives this many utils is exp(of that value) which is
what a person with log utility would pay for this gamble
c)
The St Petersburg Paradox is a paradox related to probability and decision theory.
It is a situation where a decision criterion which takes only the expected value
into account predicts a course of action that presumably no actual person would
be willing to take. A person's valuation of a risky venture is not the expected
return of that venture but rather the expected utility from that venture.
20) Define the concept of certainty equivalent
a)
Let x=(x[1],x[2],...,x[n]) be a set of outcomes from a lottery
b)
Let w=(w[1],...,w[n]) be the probability of each outcome
i)
W[i] is the probability of outcome x[i] is an element of X occurring
ii)
W[i]>= 0 for all x[i] in X and sum(i=1) w[i]^n=1
(1) Define X as a set of lotteries (x,w,y,z..)
c)
Suppose now that decision makers (DMs) have preferences over the simple
lotteries in X
i)
We will write W>= z to denote that the DM weak prefers lottery w to
lottery z
ii)
We will write w> z to denote that the DM strictly prefers lottery w to
lottery z
d)
The certainty equivalent is a guaranteed return that someone would accept rather
than taking a chance on a higher but in certain return.If risk premium = expected
return → risk neutral function
21) Why does risk aversion require concave utility functions
a)
because concavity is a necessary (or sufficient?) assumption for a unique
equilibrium.
b)
Making the right assumption on the shape of the utility function allows you to
prove the existence or uniqueness of the equilibrium. The exact assumption you
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need depends on what exactly you are trying to prove and how general you want
your result to be.
c)
In the case of concavity, it also makes the equilibrium easier to find using the
first-order conditions of the utility maximizer, because it makes sure that the local
maximum that you find by setting the derivative of the Lagrangian to zero is also
a global maximum.
d)
Because the satisfaction increases with the money you win but less strongly. A
risk-averse investor might choose to put his money into a bank account with a low
but guaranteed interest rate, rather than into a stock that may have higher expected
returns.
22) When you use historical mean and variance as measures of expected return and risk
what assumptions are you making?
a)
You are making the assumption that the "underlying distribution doesn't change",
and that mean and variance don't change over time. For example, if you want to
guess the average height of a player in the Big10, grab 20 and take the average. If
you apply this to the ACC, you are making the assumption that it has the same
distribution.
i)
You make the assumption that the past can predict the future.
23) Suppose an investor's utility function in wealth U(w)=.1(w)-.00025w^2 which the
investor uses to maximize utility over the following choices: Which choice does the
investor make? Why is the Sharpe ratio irrelevant here?
1
2
3
Security
End of Year Value
Prob.
End of year wealth
X
105
0.5
505
115
0.5
515
Y
102
0.5
502
122
0.5
522
U(w)=.1(w)-.00025w^2
w=end of year wealth
Thus
X
.1*(505)-.00025*(505)
2
=50.5-63.756 =-13.256
.1*(515)- .00025*(515)
2
= -14.806
Prob= .5*(-13.256)+.5*(-14.806)= -14.031
Y
.1*(502) -.00025*(502)
2
= -12.801
.1*(522) -.00025*(522)
2
= -15.921
Prob= .5*(-12.801)+.5*= -14.361
Investor will prefer X since it has a high utility (smaller negative number)
You do not use the Sharpe ratio because you know the utility function. The Sharpe ratio is only
relevant when the CAPM is true and then you choose the market which will always have the
highest Sharpe ratio) plus borrowing or lending.
24) Given the following probabilities and wealth levels show that choosing A and B* (or
A* and B) violates expected utility
a)
Question 1: Consider a choice between
i)
A: $2 million with certainty
ii)
A*: $6 million with prob (0.1), $2 million with prob(0.89) and $0 with
prob(0.01)
b)
Question 2: consider a choice between
i)
B: $2 million with prob (0.11), $0 with prob (0.89)
ii)
B*: $6 million with prob(0.1), and $0 with prob(0.9)
Suppose you choose A over A* then your utility function values $ 2 million with certainty over
the risk that you will receive $6 million with a .1 chance, $2 million with a .89 chance and 0 with
a .01 chance. This means for you U(2) > .1U(6) +. 89U(2) since U(0)=0. Or .
11U(2) > .1 U(6)
If you choose B* over B (which is common) then your utility function is: .
11U(2) < .1U(6)
Which is obviously not consistent. The “framing” of the first choice has the word “certainty” in
the choice of A which is a guarantee of $2 million (nice!). When people look at the second
choice, B* looks like a small change in probability for a very big gain in winning so they take it.
●
All forms of Market Efficiency
~
weak-form market efficiency (prices reflect history of prices)
~semi-strong form Market Efficiency (price includes history and public info)
~strong form market efficiency (prices includes history, public and private info)
25) What is the Beta of a portfolio with E[Rp]=.18, R[f]=.06 and E[Rm]=.14
a)
.18=.06+B(.14-.06) => B=1.5
26) The market price of a security is $50. Its expected rate of return is 14%. rf = .06 and
E(RM)=.145 What will be the market price of the security if its correlation
coefficient with the market portfolio doubles and all other variables remain
constant?Assume that the stock is expected to pay a constant dividend in perpetuity.
a)
If correlation coefficient doubles beta will double
i)
Current beta = (expected return - risk free rate)/(market risk premium)
(1) (14%-6%)/14.5% = .551 => new beta= 1.103
ii)
New expected return = R[f] + new beta * MRP
(1) 6%+1.103*14.5% = 21.9935%
iii)
New expected price = price now * (1+expected return)
(1) 50*(1+21.9935%) = $60.9967
Current beta: (.14-.06)/(.145-.06)=.94 ->1.88
New E[R]: .06+1.88*(.145-.06)=.2198
Since the cash flows of the company haven’t changed the market price must fall to give
an expected return of .2198. Before beta shifted $50 =P/(1.14) so P = $57, the new price
is 57/1.2198 =$46.73
27) Are the following true or false?
a)
(TRUE/
FALSE
) Stocks with a beta of zero offer an expected return of zero.
i)
False, when beta equals 0 the expected return equals the risk free rate. The
excess return is zero
b)
(TRUE/
FALSE
)The CAPM implies that investors require a higher return to hold
highly volatile securities.
i)
False, the CAPM is independent of this and is only determined by the risk
premium. Investors require a risk premium only for bearing systemic risk
and total volatility includes diversifiable risk
c)
(TRUE/
FALSE
)A portfolio of 75% in the risk free security and the remainder in
the market has a beta of .75
i)
Would be .25 to get .75 needs to invest 75% in the market and 25% in
T-bills
28) Describe the Arbitrage if, Rf = .04, RM= 0.10 and a stock with a β = 1.50 has an
expected return of 12%. What exactly do you go long in and what do you go short in
if all the assumptions of the CAPM are true?
a)
The CAPM return is: .04 +1.5(.06)= .13 which is higher than the current expected
return of 12% so the stock price is too high (The stock produces a too low return
for the price).
Action
Investment
Expected Return
Risk
Short Stock
-$1.00
-.12
-1.5
Long 1.5 of market
$1.50
.15
1.5
Short treasury bills
-$.50
-.02
0
Total
0
.01
0
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29) Describe the Arbitrage if Rf = .04, RM= 0.10 and a stock with a β = .50 has an
expected return of 6%. What exactly do you go long in and what do you go short in
if all the assumptions of the CAPM are true?
a)
The CAPM return is .04+.5(.06) =.07 which is higher than the current expected
return of 6% so the price is too high (The stock produces a too low return for the
price).
Action
Investment
Expected Return
Risk
Short Stock
-$1.00
-.06
-.5
Long .5 of market
$.50
.05
.5
Long .5 treasury
bills
$.50
.02
0
Total
0
.01
0
30) Assume that both X and Y (below) are well-diversified portfolios and the risk free
rate is 8%. IF the CAPM is true, would you conclude that the market is in
equilibrium? Why or why not?
Portfolio
E[r]
B
X
.16
1
Y
.12
.25
E(X) = .16 = rf + 1.0(Rm-rf) so Rm-rf= .16-rf or Rm=.16
E(Y) = .12 = rf + .25(Rm-rf) so Rm-rf = (.12-rf)/.25 so .16-rf =(.12-rf)/.25 or rf= .173
which is inconsistent with the first CAPM equation. These two are not possible.
Note:
The assumption that these are well-diversified is not relevant. All securities and
portfolios are priced by the CAPM.
31) How is the market model different from the CAPM?
a)
The market model says that the return on a security depends on the return on the
market portfolio and the extent of the security's responsiveness as measured by
beta. The return also depends on conditions that are unique to the firm.
b)
CAPM says that investors need to be compensated in 2 days: time value of money
and risk. TVM is represented by the Rf rate in the formula and compensates the
investors for placing money in any investment over a period of time. The other
half of the formula represents risk and calculates the amount of compensation the
investor needs for taking on additional risk.
c)
The market model uses an assumed market index to estimate CAPM beta (it's just
a means to estimate it) whereas CAPM uses the value-weighted market portfolio.
32) What are the assumptions of the market model?
a)
Total risk = systematic risk + unsystematic risk
b)
The market is the only source of systematic risk.
33) Give two determinants of beta.
a)
Leverage
b)
Fixed costs (higher fixed costs or higher leverage cause higher beta)
c)
possible 3rd: is industry cyclical?
d)
Beta = cov(Ri,Rm) / variance(Rm)
e)
Beta = (E(Ri) - Rf) / (Rm - Rf)
34) What is the “Arbitrage Pricing Model”? What are the two assumptions and how is
the arbitrage portfolio constructed?
a)
The arbitrage pricing model recognizes that the return on the market portfolio is
not the only systematic risk factor that affects the long term average returns on
individual assets or portfolios. By decomposing market risk the arbitrage pricing
model seeks to identify major component systematic risk factors of market risk
that determine the variations of asset returns in an efficient capital market
i)
Take multiple sources of systematic risks into account and performs better
than the CAPM and it implies the same return beta relationship as CAPM
b)
It's an equilibrium factor model of security returns derived by arbitrage. A pure
arbitrage portfolio should have zero investment (go short and long) and have zero
sensitivity to the factors driving the market. You go short and long on stocks,
bonds and the market to erase risk and investment but make a profit.
35) Can a one factor model be an “Arbitrage Pricing Model”? If so then what exactly is
the difference between a one factor arbitrage pricing model and the CAPM?
a)
Yes, a one factor model can be included. It is possible that the APM and the
CAPM would be the same and one factor in the APM could be beta. The
difference is that the APM could be based on any variable whereas the CAPM
relies solely on beta
36) Suppose that two factors have been identified for the US economy: IP= growth rate
of industrial production and IF=inflation rate. IP is expected to be 3% and IR 5%.
A stock with a beta of 1.0 on IP and .5 on IR currently has an expected return of
12%. If industrial production grows by 5% and inflation turns out to be 8% what is
your revised expected return on the stock?
a)
Expected return = a+1.0(IP) + 0.5(IF) + e = a+1.0(.03) + 0.5(.05)+e= .12
If “e” term is zero then
.12= .065 + 1.0(.03)+0.5(.05)
If IP is .05 and IF is .08 the expected return will be .065 +1.0(.05)+0.5(.08) = .145
37) Consider the following data for a one-factor economy: Assume all portfolios are well
diversified. Suppose that another portfolio, C, is well diversified and has a beta of .6
and an expected return of .08. What is the arbitrage strategy?
Portfolio
E[r]
B
A
.12
1.2
B
.06
0
a)
12% = 6% + 1.2(R[m] - 6%)
i)
R[m] = 11%
A one-factor APT states: E(R) = a+bλ. Using this equation, we have from the
expected return of B: E(B) = .06= a +0.0λ so a =.06. Then from E(A) = .12 =.06
+1.2λ implies λ = .05 so the APT equation for both well diversified portfolios is:
E(R) = a+bλ=.06 +b(.05). This gives E(C) =.06+.6(.05)=.09 but C has an
expected return of 8% so it is priced too high. Go short C and long a portfolio
that has a risk of .6 (sound familiar?). This portfolio is 1/2 of A and 1/2 of B.
This has an expected return of .06 from A and .03 from B. The long + short
position has a risk of zero, investment of zero and a return of 1%.
38) Suppose that the market can be described by three sources of systematic risk: What
is the expected return on a particular stock generated according to the equation
below?
𝑅
= .15 + 1.0
𝐼
P + .5
𝐼
− .75
𝐶
+ e
a)
E(R) = .15 + 1.0(.06)+ .5(.02) -.75(.04) = .19
note the assumption is that
E(e) = 0.
Factor
Risk Premium
Industrial Production (IP)
.06
Interest Rate (I)
.02
Consumer Confidence ( C )
.04
39) What are the Fama-French Factors in the three factor model? What additional
factors are in the five factor model?
a)
CRSP Market-Rf (Risk-Free rate)
b)
SMB-Small Minus Large (small firm effect/ sixe effect)
c)
HML-High Minus Low (Value Firms)
(Three factors above, all five below
d)
RMW- return spread Most profitable firms- least profitable firms
e)
CMA- return spread conservative firms - aggressive firms
40) If a stock has a βSMB= -1.2 and a βHML= -0.75 what type of stock is it?
a)
It is a large firm that is not a value firm
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41) If markets are efficient, what value should the correlation coefficient take between
stock returns for two non-overlapping periods?
a)
It should be zero. In the above scenario, the correlation coefficient should be zero.
In case it was not zero, we could also predict the returns of the later period by
using returns from previous periods thereby earning huge profits.
b)
The correlation coefficient between stock returns for two non-overlapping periods
should be zero. If not, one could use returns from one period to predict returns in
later periods and make abnormal profits.
42) What is your response to a co-worker who says “If all securities are fairly priced,
all must offer the same expected rates of return, otherwise the market is
inefficient?”
a)
No market is not inefficient securities can have a different price because of risk
43) What is your response to a co-worker who says “Highly variable stock prices
suggest that the market is inefficient because it does not know how to price stocks?”
a)
information comes out causing highly variable stock prices.
44) Label the following statements as true or false if the efficient markets hypothesis is
true:
a)
(TRUE
/FALSE
) The EMH implies that future events can be accurately predicted.
i)
b)
(
TRUE
/FALSE)The EMH implies that the average rate of return will be greater
than zero.
i)
It’s false but it makes sense for it to be true so he wont ask it.
c)
(TRUE/
FALSE
)The EMH implies that patterns in past prices will predict future
prices.
i)
Patterns in past prices predict beta
d)
(
TRUE
/FALSE)Earnings announcements will only affect the price at the time of
the announcement and will have no effect on future prices.
i)
If markets efficient
e)
(TRUE/
FALSE
)You can make superior returns by buying a stock after a 10% rise
and selling a stock after a 10% fall.
i)
45) Suppose you find that stock prices before large dividend increases show significantly
positive returns on average. Does this violate the Efficient Market Hypothesis?
Volatile strong form, but not semi-strong (info was leaked(
a)
No, companies pay dividends in profits and prices reflect profits.
b)
No, because it is new information
46) You estimate a market model for Ford: R= .10 +1.1RM. You believe these values are
stable over time. If the market index subsequently rises by 8% and Ford rises by
7% what is the abnormal change in Ford’s stock price?
a)
.1 + 1.1 * (8%) = 18.8% => 18.8%- 7% = 11.8% the Ford stock price will
decrease by 11.8%
47) React to the following statements:
a)
(TRUE/
FALSE
)If stock prices follow a random walk, then capital markets are no
different than a casino.
i)
If stocks are a random walk then the standard deviation of 30 yer returns
should be sqrt(1/30) times the std. Dev one year returns. But it is not
ii)
Stocks are actually less risky than bonds or short term debt when held over
20-30 years
(1) Keep in mind these are broadly diverse portfolios
iii)
No because information comes out and random walks can have positive
returns
b)
(TRUE/
FALSE
) A large part of a company’s future cash flows are predictable,
therefore its stock price cannot possibly follow a random walk.
i)
You still care about the unpredictability part. Only risk-free assets cannot
follow a random walk
c)
(TRUE/
FALSE
) If markets are efficient, you might as well select your portfolio
by throwing darts at the stock listing in the Wall Street Journal (paper edition…)
i)
No want them in different industries so long as you're diversified by
industry and size.
48) Shares of small firms with thinly traded stocks tend to show positive CAPM alphas.
Is this a violation of the efficient market hypothesis?
a)
Illiquid - not a lot of transactions (thinly). Need for compensation for transaction
costs.
b)
Yes, if CAPM model (it is rejected). It is farma french then no.
49) What assumptions does expected utility maximization make that are questionable?
a)
Know your utility function, risk, outcomes, probability and don't spend any time
searching for outcomes.
b)
People don't look to maximize, they want to attain goals, they want a satisfying
strategy.
c)
1. Numerate all outcomes 2.Know utility function 3.Numberate probabilities and
maximize utility
50) What is “bounded rationality”?
a)
spend more time searching for things to satisfy goals
b)
When humans make less than “perfect” economic choices often to satisfy their
own goals or desires.
51) Describe the two steps that investors use to evaluate investments if they are
following prospect theory.
a)
Editing Phase: the possible outcomes of the decision are ordered following some
heuristic which may or may not get the probabilities correct.
b)
Evaluation Phase: people behave as if they would compute value (utillity) based
on the potential outcomes and their respective probabilities and then choose the
alternative having a higher utility.
52) What is the role of the value function in prospect theory and what is its shape?
a)
S-shaped and given the same variation in absolute value, there is bigger impact of
losses than of gains
b)
The value function in prospect theory measures losses and gains.
c)
It is s-shaped and, as its asymmetry implies, given the same variation in absolute
value, there is a bigger impact of losses than of gains (loss aversion).
53) What predictions does prospect theory make for losses and gains?
a)
People tend to overreact to small probability events but underreact to medium
and large probabilities
b)
Investors are risk averse in gain domain and risk seeking in loss domain. They
tend to sell winners too early and ride losers too long.
54) How does prospect theory help explain the “equity premium” puzzle?
a)
Investors are not averse to variability but dislike the fact that stocks show losses
more frequently than bond returns.
b)
Investors require a higher average return on stocks than bonds because they want
to be compensated for the losses that are more frequent in stocks than bond
returns.
55) What are rational, non-behavioral reasons for selling winners and holding losers?
a)
Not rational in absence of strong evidence is support of mean reversion of share
prices
b)
Portfolio rebalancing : if an investor wishes to hold positions in particular
proportions, he needs to sell shares of stocks that have risen
i)
Mean reverting
ii)
Trading costs : costs more to sell low-priced stocks
56) What effect does professional trading have on the disposition effect?
a)
Tends to mitigate or eliminate the disposition effect.
i)
Disposition effect diminishes over time with professional trading.
57) If an individual with wealth of $100,000 faces a 10% chance of losing $15,000. An
insurance policy to avoid this risk costs $200. Will they buy the policy if :
a)
They had a utility function of LN(wealth)?
i)
.1 * LN(100000-15000)+ .9 * ln(100000) = 11.5 regular
ii)
ln(100000-200) = 11.51 with insurance
(1) Would buy the insurance
b)
they followed prospect theory with v(z) =.88(-z).88 and
𝜋𝜋
(.10)=.10?
i)
.1 * .88 * (15000)^.88 + .9 * .88 (0)^.88= 416.34 without insurance
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ii)
.88(200)^.88= 93.19 with insurance
(1) Would buy the insurance
58) How does distortion of the probabilities matter in prospect theory? (compare
problems 3 and 4 in Behavioral Finance chapter 3 be sure you understand the
notation.)
a)
Small probabilities are overrated so small risks are overrated and high risks tend
to be underrated
59) How does stating a choice in the negative versus the positive affect which choice
people make?
a)
When a choice is stated with negative terms, there is a shift toward risk-seeking
behavior.
b)
When a choice is stated with negative terms, there is a shift toward risk-seeking
behavior.
60) Give a general definition of framing and discuss the reasons for framing?
a)
Definition: effect of people's behavior depends on how you word the question
b)
Reasons: system one dominance, quick and easy way to process information,
mental shortcut
c)
A frame consists of a collection of anecdotes and stereotypes that individuals rely
on to understand and respond to events.
61) What are the three key assumptions of an inefficient market? If the market is never
efficient for a particular set of information can you still make money?
a)
Correlated investor irrationality
b)
Limits to arbitrage
c)
The market must eventually become efficient: If the market is not efficient, you
can make money with arbitrage
62) If the stock market was always strong form efficiency, what problem would this
create?
a)
No one could beat the market as all the information about a company/market
would be in the price of each security. It also would not be beneficial for paying
for info (which is not true in real life)
63) List four limits to arbitrage.
a)
- Need to invest money and earning > risk free return
b)
- Transactions cost
c)
- Investment limits
d)
- Timing : the market may stay irrational for longer than you can stay invested
64) What is the definition of “SUE”? How might we take advantage of this anomaly?
a)
SUE = Standardized Unexpected Earnings
b)
SUEt = (QEt - FEt) / Pt
i)
Where QE is the quarter's earnings, FE the forecast of earnings and P the
quarter's price.
ii)
To take advantage of this anomaly, you should invest long in high SUE
and short in low SUE.
65) Define the “small firm effect”. What is the argument that it is NOT a behavioral
bias?
a)
Tendency for firms with low levels of market capitalization to earn excess returns
after accounting for market risk.
b)
The small firms have a higher return. It might be because they are riskier. But it's
also because of information costs : the returns of small capitalization are
compensation for lack of analysts and other information sources.
66) What are the key variables that managers use to distinguish value stocks from
growth stocks? What can we expect to earn by long value, short growth? What is
the risk of this strategy?
a)
Value Stocks: stocks with prices that are low relative to such accounting
magnitudes as earnings, CFs, and book value
b)
Growth Stocks: stocks with prices that are high relative to earnings, CFs and book
value
c)
Long Value, short growth
d)
Value stocks are defined to be stocks with prices that are low relative to such
accounting magnitudes as earnings, cash flows, and book value.
e)
Growth stocks are stocks with prices that are high relative to earnings, cash flows
and book value, at least in part because the market anticipates high future growth.
67) How exactly do you construct momentum and reversal portfolios?
a)
Meme stock example such as AMC & APE?
b)
Probably won’t be asked but you take top 10 perfect to long, bottom 10 to short
for momentum for a month. Reversal is the reserve for a longer period than a
month
68) . Define System 1 and System 2. What is it useful to make the distinction between
these two ways of thinking?
a)
Human brains not computers: process info through shortcuts and emotional filters
b)
System 1: Fast, unconscious, automatic, everyday decisions, error prone
i)
Uses filters called heuristics( psychological shortcuts)
(1) Leads to better decisions
(2) These are advantages of human brain
ii)
They are not biases but can lead to biases
iii)
Example: if a ball is hit two ways to predict where it will fall
(1) Engineering: solve differential equations to predict
(2) Heuristic: catch thousands of balls and develop a feel for where the
ball will fall
(a) Heuristics have biases
c)
System 2: slow, conscious, effortful, complex decisions, reliable
d)
1: evolutionarily older, hard-wired, fast, automatic
e)
2: analytic, algorithmic, rational, rule-based system - effort filled
69) Define hindsight bias, outcome bias, belief bias and confirmation bias. What are the
sources of these biases?
a)
Hindsight bias: they knew it all along. Past events always look less random than
they were a real problem for
b)
Outcome bias: refers to the distorting effect outcome info can have on our
evaluation of decision quality (and decision makers)
c)
Belief bias: research (and personal experience) shows that we don't treat all
information and arguments equally
d)
Confirmation bias: inclined to seek info that confirms our beliefs
i)
Part of belief preservation and mental rewards confirming data provide
ii)
Attributed to positivity bias
iii)
Motivated reasoning: ask what evidence supports my beliefs
e)
Source of biases: naive thinkers tend to have basic misconceptions about both
nature of their perceptions and their memories
i)
Naive thinkers believe their perceptions give them a complete and
accurate record of the world around them. Its as if their perceptions are
like a camera capturing images that are not processed
(1) Our perceptions don't operate this way
ii)
Perception does not just show a picture of reality instead our brain will
automatically add meaning. Our perception and reasoning programs have
lots of little bugs like this in them. Perceptions are portraits not
photographs
f)
Perception is selection: what part of the data in our field do we consciously
register
i)
Conditioning: background experience and training
ii)
Beliefs & desires: confirmation bias, selective hearing “ they saw a
different game
70) Is your memory like a hard drive where you record an event and then recall it?
a)
Memory is selective and essentially reconstructive in nature
b)
Memory is affected by
i)
Suggestion: distorted speed estimates and recovered memories
ii)
After acquired info: once we know what happened hard for us to imagine
anything else happening or that we didn’t always know it
c)
Status Quo Bias: equivalent to the endowment effect
i)
People are resistant to change and fear the regret that may follow
(1) Hold what is currently possessed their endowment
(a) Could be due to loss aversion or other cognitive bias while
consistent with prospect theory
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d)
Anchoring: using irrelevant information to make guesses
e)
Representative bias: using stereotypes to judge rather than facts
71) Define the gambler’s fallacy and distinguish it from the regressive fallacy.
a)
Gambler’s Fallacy: we tend to believe that luck will somehow even out but if
we’re talking about truly random events that simply may not be so
b)
Regressive fallacy: failing to take into account natural and inevitable fluctuations
in things when ascribing causes or marking predictions
i)
In other words we do not intuitively understand regression to the mean
72) What is the conjunctive fallacy and what are its implications for decision making?
a)
Conjunctive Fallacy: because business people are constantly engaged in risk
assessment and planning activities of all sorts, it’s critically important that they
understand how compound probabilities are figured
i)
Why projects often aren't completed on time
ii)
Relationship between program or product complexity and reliability
iii)
The odds of success for highly complex strategies
iv)
Wisdom of committing repeated regulatory violations
b)
We tend to overestimate conjunctive probabilities (the odds that things will work
out as planned) and underestimate disjunctive probabilities(the odds that they
won't work out as planned)
c)
Conjunctive Fallacy: how compound probabilities are figured; struggling in the
difference between simple probabilities and joint probabilities
d)
Implications: why projects aren't completed on time? Because people fail in the
middle. The relationship between program or product complexity and reliability.
The odds of success for highly complex strategies? Low but depend on individual
pieces. Wisdom of committing repeated regulatory violations
73) How do our motivations place obstacles in the path of risk perception?
a)
Affect is the wellspring of action:
b)
Emotions are evolutions way to get us to do things that are good for our survival
and reproductive success
c)
Without feeling of being at risk, we fail to allocate our attention to risk
management
74) Give examples of how people overestimate the probability of rare events and
underestimate the probability of frequent events. What factors determine by how
much they do so?
a)
Framing effect is item that can impact this
b)
Tendency of people to bring percentage closer to the middle?
c)
Dread vs nondread
75) Briefly describe how the following create obstacles to better risk perceptions:
a)
Hyperbolic discounting- very high discount risk for risk in the future
b)
Finite cognitive capacity- we are tired of calculating
c)
Endowment effect- status quo effect
d)
Memory- our memories are failed
e)
Cognitive dissonance: getting data that undermines our core beliefs is
emotionally painful (people ignore the data)
i)
EX: trying to get young people to save for retirement
f)
Salience: we think the probability of something happening is related to how easy
it is to recall it
76) Describe the effect of cognitive dissonance on the propensity to save.
a)
We don’t think we will look old so it is hard for us to save for when we are old
77) A test for disease Covid presents a rate of 4% false positives. The disease strikes
78) 1/1,000 of the population. People are tested at random, regardless of whether they
are suspected of having the disease. A patient’s test is positive. What is the
probability that the patient has Covid? Suppose the disease strikes 5/10 people.
●
Bounded Rationality
○
Some argue that the study of reasoning should not be the study of failure but of
fast and frugal rules for decision making
■
Fast: relative to optimization
■
Frugal: in use of brainpower
■
rules/heuristics: may come close to the economists optimizations under
constraints
■
Form smart heuristics that work for most people
81) 3 ways overconfidence defined
1)
Overestimation: of one's actual ability, performance level or control chance of success
a)
64$ of empirical studies use
2)
Overplacement: people believe themselves to be better than average or better than others
is some way (ranking)
a)
Roughly 5% of empirical studies uses this
3)
Overprecision: Excessive certainty about the accuracy of one's beliefs
a)
Numeric answers
82) Change in investor portfolio 1995:2000 if overconfident
1.
Referring to the dot com bubble?An investor would hold on to their tech stock that was
completely eating it and ruin most of their wealth invested.
83: How does overconfidence relate to trading and what effect does it have on a portfolio's
return
1.
Can have a very negative effect on a portfolio. Trader’s will want to hold on to losers
longer and sell winners too early. They get cocky and do not use their best judgment.
Confirmation bias early in trading can significantly worsen the effect of overconfidence.
84: How does online trading contribute to the relationship between a portfolios return and
stock
trading
●
People trade more
●
Rate themselves to high
●
Market depth: trade more, earn less, under diversify, volatility increase, monetary depth
○
Deep market: try to buy you will not move the price up or sell and do not move
the price down
■
Liquid market: price doesn't move when sell and buy and not costly to get
in
○
Limit order book:
○
Liquidity: want to have cash on hand or referring to movement of the market
●
Early success not good due to increase in overconfidence
●
Disposition effect: investors hold on to losers and sell winners
.87. What are the benefits and costs to small investors in a mutual fund?
●
Benefits: ability to invest with small amounts of money, diversification, professional
management, low transaction costs, tax benefits, and the ability to reduce administrative
functions. Cost are lower for small investors, easy to diversify
●
Costs: operating expenses, marketing distribution charges, admin cost and loads
○
Loads are fees paid when investors purchase or sell the shares
88. Why can closed end funds sell at a different price than the net asset value while
open-end funds do not?
●
Closed end funds trade on the open market and are thus subject to market pricing
●
Open end funds are sold by the mutual fund and must reflect the NAV of the investment
●
Don't sell open end funds on the market. Does not have to small price
89. What is a 12b-1 fee?
●
An annual fee charged by a mutual fund to pay for marketing and distribution costs
●
Pay brokers, in total expense ratio
90. What are the advantages and disadvantages of an exchange traded fund?
●
Exchange traded funds can be traded during the day, just as the stocks they represent.
They are most tax effective in that they do not have as many distributions. They have
much lower transaction costs and they also do not require load charges, management fees,
and minimum investment amounts
●
Disadvantages is that ETFs must be purchased from brokers for a fee. Moreover,
investors may incur a bid-ask spread when purchasing an ETF. Big ask spread, possible
volatility
91. An open end fund has a net asset value of $10.70 per share. It is sold with a 6% load.
What is the offering price?
●
Price = net asset value / (1- load)
○
10.7/(1-6%) = $11.38 is the offering price
92. An open end mutual fund has a portfolio of $450 million of assets and $10 million of
liabilities. If there are 44 million shares, what is the net asset value? If a large investor
redeems 1 million shares what happens to the portfolio value and to the net asset value of
the fund?
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●
Net asset value = (market value of assets - liabilities) / shares outstanding
○
(450- 10)/44
■
NAV = 10 million
93. A hedge fund charges 3-30 for a fee. If the fund starts the year with $500 million and
the assets rise in value to $620 by the end of the year, what is the management fee? What is
the return of the shareholders?
●
3 percent fee on the assets under management plus 30 percent on net gains
●
3% of 620
○
We need to make assume for which 620 or 500. Using 620 will give a lower
return
○
500->.138
○
620->.1308
●
20% of (620-500) 120= 24 million
94. Hedge funds are unregulated. Give some examples of asset classes that hedge funds can
invest in and mutual funds will not.
●
Hedge funds are funds with almost no restrictions appealing to high net worth individuals
and institutions with investment flexibility
○
A hedge fund can invest in land, real estate, stocks, derivatives, and currencies
while mutual funds use stocks or bonds as their instrument for long term
investment strategies
Timber, whatever is an invest but not liquid.
95. What is the definition of “institutional funds”? How do they differ in their cash flow
rights and ownership rights from mutual funds and hedge funds?
●
Long only funds where the client owns the assets and is usually a pension fund or
endowment
○
Mutual funds that manage retirement plans for an institutions’ employees are
called institutional funds
○
Institutional funds never give back the assets.
○
Ownership right determined by agreement with client. IU for example will never
actually give up their funds. Unregulated. IU is unregulated but manager is not.
○
Hedge funds, client keeps ownership
○
Mutual fund, manager keeps ownership
96. Why does the law get involved with the regulation of mutual funds but not the other
types of funds?
●
Unlike an individual stock, an investor may also have to pay taxes each year on mutual
funds or an ETF's capital gains even if the mutual fund or ETF has had a negative return
and the investor hasn't sold any shares.
○
That’s because the law requires mutual funds and ETFs to distribute any net
capital gains on the sale of portfolio securities to shareholders. ETFs are typically
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more tax efficient in this regard than mutual funds because ETF shares are
frequently redeemed in kind by the authorized participants.
○
Law regulates funds for small investor because they the legal system feels they
need to regulate them. Law assumes large firms knows what they are doing and
will not need that type of protection.
97. If a fund had $350 million under management and the expense ratio is 90 basis points
what are total dollars paid by investors to manage the fund?
●
350,000,000* 90 basis points (0.0090)= 3,150,000
98. If a fund has $700 million under management and a 150 percent turnover, what is the
total dollar amount of assets sold and bought? If transaction costs are 10 basis points on a
dollar trade, what is the transaction cost generated by this turnover? Suppose you see a
graph that shows only 10% of mutual funds have outperformed the SP500, what are the
problems with the graph?
●
Total dollar amount of assets sold and bought 700 mil is overturned 1.5 times throughout
the year so 1,050,000,000
●
Transactions cost. 1050 amount of assets sold times 10 basis point (0.0010) = 1,050,000
●
Problems with the graph: People are paying 10 basis points for a fund that will most
likely not beat the market. Why would you pay more for an investment that is worst off?
Most mutual funds receive cash after an increase in the market. Since it takes time to
invest the cash the mutual fund’s beta will fall for a short time.
99. What is the average alpha of mutual funds? What are the average fees for mutual
funds? What does the average alpha imply about the ability of mutual fund managers to
add value to investor portfolios?
●
Average alpha of mutual funds is negative
●
Equity fund is 80 basis points, weighted by assets.
●
Average Fees .5% to 1.5% for active and .2% for passive funds
●
Alpha shows that they are drawing value away from the fund. You could get that return
by just investing in S&P
100. What is the evidence that fees are related to performance? Can you give an
explanation for the findings?
●
Index-mutuals funds that hold the same assets in the same weights have different returns
●
Not much evidence for this. Performance is hard to measure
○
Difference is due to management of transaction fees
102. What are the possible heuristics in constructing a momentum portfolio? Is it possible
that momentum is driven by both overreaction and underreaction?
●
Information heuristics
○
Hindsight bias: the filter where we select as the most probable outcome is what
happened
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○
Outcome bias: the filter where we reconstruct what happened based on outcomes
without paying attention to the actual decision process
○
Belief bias: is the filter where we do not treat all information and arguments
equally. We are uncritical of information and arguments in favor of our belief and
hypercritical of those against
○
Confirmation bias: is bias where we seek out information that confirms our belief
●
Status quo bias: decisions are dependent on reference points
●
Loss aversion: risk seeking in the losses
●
Overconfidence: over estimation, overplacement, and over precision of information and
abilities
●
Representative bias: we believe that stocks that go up with go up and down will go down.
●
Salience
●
Prospective theory and loss aversion: disposition effect (sell winners, keep losers)
103. Exactly how are return momentum portfolios constructed? (Go through the steps).
What is the risk of these portfolios?
●
Do it has hedge fund, not mutual fund. (will need to do both long and short stocks)
●
Picking a series of stocks (often top 500 or russell 1000, ect.)
●
Calculate returns of these stocks
●
Top decile of stocks should be longed, bottom x% should be shorted
●
These should be calculated and reorganized as often as reasonably possible. Often a
month, quarter or year. Can be a lot sooner like a week, day, hour,
30 second
●
Risk: That the more you rebalance your portfolio, the more fees you incur but the less
you rebalance the more your return is constructed correctly. Risk is difference between
long and short. Beta will probably be zero. Only long will result in beta above one.
●
Additional Risk: Momentum relies heavily that historical trends will determine future
returns which is not true. Could, in theory, completely fill.
104. Exactly how reversal portfolios are constructed and what are the risks of these
portfolios. Are reversal portfolios held as long as momentum portfolios?
●
(constructed the opposite of momentum funds)
●
Once again historical trends do not determine future trends. They need information to
cause a reversal. How reliable is that information?
●
Learning period is same as momentum portfolios and do the reserve of momentum.
Normally has a longer term holding period then momentum. Risk is the difference
between long and short
105. List five practical problems that AQR faced in constructing momentum portfolios for
a mutual fund and describe AQR’s solutions to these practical problems.
●
SEC restrictions
○
long only,
○
hot money – need for liquidity
○
stringent reporting
○
compensation requirements (couldn’t take % of profits)
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○
5% of portfolio in one company, no more than 10% of company’s shares
○
Diversification across industry
○
“prudent” strategies
○
No advertising of back-testing but an index provider can publish returns
●
Problems with implementing UMD:
○
UMD is long-short, AQR will be long only
○
UMD is rebalanced monthly requiring a large amount of trading
○
UMD used all listed stocks but AQR only wanted to use stocks with a reasonable
○
amount of capitalization and liquidity.
○
Convincing retail investors:
○
Retail investors are divided into channels: direct, broker and retirement.
●
How often to trade stocks?
●
What to do with stocks on border
●
How do they convince people to do this (and will work/make money). SEC stops them will back reportin
●
Taxes are an issue for the investors of the fund. Buying and selling a lot with cause taxes
●
What do they do with liquidity?
●
How diverse will they be?
106. Why is it surprising that the alpha of AQR today is negative?
●
The Alpha up until the past few years was positive and often well above the market.
Looking at the average it is still positive, however, it seems to still not be a great
investment based on how the current market conditions causes AQR worse off than the
market in the past 5 years.
●
Not as good as the historical data made it seem. Back tested not the real return of the
investment
107. What is “representative bias” and why does it exist?
●
When a decision maker wrongly compares two situations because of perceived similarity
or conversely when he or she evaluates an event without comparing it to similar
situations.
●
Stereotypes to represent a person, strategy or portfolio. Example, good company is a
good stock (not true). Listing portfolio will make people say it is a good portfolio after
looking at top 10 stock. Home bias, buying stocks close to home.
●
People base judgements on how things appear rather than how statistically likely they are.
People are driven by the narrative of the description rather than by the logic of the
analysis. (We expect effects to look like causes)
○
Subsets of representativeness
■
Intensitivity to prior probabilities of outcome
●
Investments have very different priors (there are not many small
cap value firms)
■
Insensitivity to sample size
●
There are far more micro cap firms than large cap
■
Misconceptions of chance
●
Gambler's fallacy: things will even out
●
Reversion to mean
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■
Availability heuristic (Recency bias)
●
Tendency to form judgment on the basis of information is readily
brought to mind.
●
Useful since frequent events are easily brought to mind
●
Misleading
○
Ignores statistics
○
Factors other than frequency can affect memory
■
Ease of retrieval
■
Recency of example
■
Familiarity
108. Name two other forms of representative biases that often occur in investments.
●
Recency Bias (above):a cognitive error identified in behavioral economics whereby
people incorrectly believe that recent events will occur again soon.
●
Gambler’s fallacy: We tend to believe that luck will somehow even out but if we’re
talking about truly random events that simply may not be so
109. Jonathan Golub, the chief “Client Portfolio Manager” for the behavioral finance
funds, thinks that Exhibit 5 shows that “even the basic idea of a risk-return tradeoff is not
supported by stock market data”. Do you agree?
●
SD and return is related-> False. It is about the beta and correlation with return.
110. The CIO, Chris Complin, for behavioral finance products globally, and Silvio Tarca,
the lead portfolio manager for the Intrepid funds, believe that overconfidence and loss
aversion leads to value and momentum anomalies respectively. Explain their logic.
●
Explain what overconfidence and loss aversion is and connect to strategy.
●
Overconfidence and focus only on tech of company or losses and makes you believe
value stocks are correctly priced. This can lead to momentum strategy as well.
●
Loss aversion, hanging on to losers. Can lead to momentum because they hold on
111. Why is it hard to combine value strategy and the momentum strategy in the same
portfolio? How did JP Morgan do it?
●
The value is longer term, 3-4 years. Some overlap with reversals. Different tools for
value, accounting statements for example
●
Momentum is more about growth and is short term. Generate more cost No model for
either.
●
Have a barbell curve and give stocks a score to try to put them together.
112. The critical question of the case is whether behavioral finance will continue to “work”
over the next five years. What does “work” mean for JP Morgan?
●
1. A better portfolio (less risk more return)
●
2. Better understand clients (who they are a person)
●
3. Collect assets, trading across the world for marketing purposes
113. Explain how behavioral finance can be used in wealth management. Does using a
wealth manager say anything about the behavioral biases of a client?
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●
Understand the biases, irrationalities, emotions, and goals of investors/clients
○
Be better able to serve their needs and steer them in the right direction
●
Wealthy people will have different biases from a middle class person and different goals.
Need to take those into consideration when having them for clients. Clients “Admitting”
that they have biases that a manager will not have
114. What is a factor model (write down the equation and list the assumptions) and why
would anyone use it? (Describe the bases for a model and what the possible uses are).
●
Factors
○
Asset pricing: determine the normal return for a given level of risk
○
Benchmark: represent the return of a passive portfolio that is similar to the
evaluated portfolio
○
Security analysis: determine the factors that are relevant for security prices
○
industry/market analysis: determine whether any subsets of assets agave
outperformed other subsets or outperformed the market as a whole
○
Portfolio attribution: to attribute the returns of an actively managed portfolio to
exposure in various market segments
○
Forecasting: estimate expected return
○
Quantitative risk management: simplify the number of risk factors in building a
portfolio
■
Most focus on this motivation
●
Basis
○
There are limited numbers of factors, K
○
Linear relation between K factors and returns
○
the key assumption is that you have enough factors to do the job but not too much
to add noise to the model
○
Generally speaking considerable statistical work finds that there are between five
to ten factors driving the market but nobody can agree on which five to ten
factors. We know there are more than one but that the “market factor” is the most
important.
●
Model with ks and beta with error terms. 0 error terms they do not effet over time. None
of factors you missed are correlated over time
●
115. Where do factors come from in a factor model?
●
Pure Statistical Model
○
The only input is the correlation matrix of returns. The statistical technique of
“factor analysis” (from psychology) is used to determine the “significant factors”
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●
Pre-specified economy-wide variables
○
Value of the factors (Fit ) are the same across all firms. (Examples are interest
rates, inflation, unemployment.) The model allows different responses to these
variables for each firm.
■
example: Roll and Ross Asset Management allow the investor to specify
the economy-wide risk that he wants hedged.
●
Pre-specified firm variables
○
Value of the factors (Fit ) are different for each firm. (Examples are leverage, size
growth in earnings). The model assumes that each firm has a constant response to
these variables over some time period.
●
Style Model
○
Value of the factors (Fit ) are the same across all firms. Factors are chosen to
represent an asset class. The model allows different responses to these variables
for each firm.
●
Firm bases factors: (look at spreadsheet
●
Economy factors, GDP, inflation, unemployment rate.
●
Indices to set up what the managers are doing
116. What are the strengths and weaknesses of a factor model?
●
You can put as many factors as you want into the factor model.
●
Strengths
○
Objective determinant of alpha (the value added) and risk
○
Assumptions are clear
○
Flexible (can add whatever variables are needed)
○
Risk analysis and portfolio management is simplified
○
Good basis for discussion (will discuss style analysis as a management tool at the
end of the course)
○
Cheaper than hiring a group of analysts
●
Limitations
○
Must know the factors!
○
Some firms may have non-linear relationships with factors
○
Difficult to incorporate judgment
■
Factors change
■
Firm-specific events cannot be incorporate
○
Impossible to incorporate non-quantitative information
117. What is “equity style analysis” and how is it used in the management of equity
portfolios?
-will have some assumptions that are violations and have to hope that the violations do not make
the portfolios completely invalid.
Can ask if a value fund is a value fund. It is subjective. Can the manager beat the benchmark?
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●
Ultimately, investors do not - or should not - care about the type of stocks a manager is
selecting, what matters is how they act together in a portfolio
●
Use a set of indices that represent the “style” of the manager by computing the computing
the weights of the managed return on each index
●
The basic idea:
○
Use a set of indices to construct a passive portfolio that captures the “style” of an
actively managed portfolio
○
The difference in returns, Active portfolio returns - passive style portfolio returns
is the value-added of the manager over the passive style.
●
If the investors are only interested in the “style” of investing, that is only interested in the
subset of stocks satisfying the style, then the value-added over the passive style is
equivalent to the “alpha” of the manager.
●
If the investors are interested in the larger universe of stocks, then the manager’s value
added over the style is a positive signal of ability. Even if the style is down, the manager
may be a good one.
●
Thought question: When will investors be interested only in style? When will they be
interested in the universe?
118. Write the equation for “equity style analysis” down and describe why it is NOT a
regression equation.
Not a regression analysis.
Shows what the manager is doing. Very loose and subjective
●
Use a set of indices that represent the “style”. We select the following indices for Mutual
Fund Shares:
○
I1 = Citigroup Treasury Bill Return
○
I2= Russell 1000 value (large “value”index, low market to book)
○
I3 = Russell 1000 growth (large “growth” index, high market to book)
○
I4 = Russell 2000 value (small value index)
○
I5 = Russell 2000 growth (small growth)
○
I6 = MSCI EAFE Index (non-US, liquid stocks)
●
Factor model: Rt= a + b1 I1t+ b2 I2t + b3I3t+ b4I4t + b5I5t + b6I6+ et
○
If this represents a passive strategy the weights must sum to one: Estimate the
weights so that so that the b’s sum to 1
○
If you cannot go short on the indices, then the weights are >0
○
The constraints on our model are: bj >0 and b1+ b2 + b3+ b4 + b5 = 1
○
How to choose the weights?
■
Note that ordinary least squares cannot be used since the model places
restrictions on the coefficients
■
Use an optimizer!
119. Be able to interpret the weights of an optimization that produces a style portfolio.
●
Why you use an optimizer
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●
Weights and time are subjective to manager and how/what he was doing
●
Est. beta are portfolio weights for each factor
120. Discuss how to choose the indices and the time periods for the optimization.
●
Purely subjective. Use indexes (normally the different russell indexes).
121. If a manager has a fund that has a positive alpha using the “style benchmark” that we
defined in class and a negative alpha using the CAPM do you conclude the manager has
earned his fees? (The Intrepid Value fund is an example of this. Would you invest in it in
2006?)
●
Answer could be yes or no. Yes because all I can think about is value and the result of the
portfolio will pick up the value from the market. Best value manger is the guy with
positive alpha for value.
●
No- I will invest in S&P to beat this guy.
122. What happened to the JP Morgan Intrepid funds in the five years following the case?
What is (are) the best explanation(s) of this five year period?
●
They all did poorly in the 5 years. Best explanation is that the value fund outperformed
the rest and people are putting money in it because they think value will turn around.
Day 20
123. Discuss the various ways that ESG can be defined. Will not be asked, maybe our
opinion but that is it
●
Environment
●
Social/Society (most difference)
●
Governance (no arguing)
●
The environment-Report amount of pollution, projects to improve these numbers.
●
Social- to what extent should companies be concerned about social events?
●
Governance-Is it how a company is internally governed (most often). How should this be
reported? What should the company be concerned about governing?
124.What is the purpose of ESG investments? What is the intended practical effect of
ESG?
●
Intent is to give capital to positive ESG impact companies while moving capital away
from negative ESG companies
○
Either help fund them directly, take an active role in the companies, or pressure
management to take ESG positive measures
●
To make investor feel good about themselves, then shorting selling makes perfect sense
125. How is ESG measured?
●
Many different measures of ESG, little consensus
●
Are you looking for certain services, all services? Should they develop their own ESG
measures? Focus on one aspect?
○
Governance is fairly agreed upon, but no clear definition of E and S
126. What challenges does AQR have if they enter this market?
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●
How to measure ESG / Creating a benchmark universal standard
●
Including short selling / does that count toward achieving carbon neutrality
○
If not, can the fund truly reach net 0
●
How to handle companies that are high in some areas of ESG but low in other
●
Hard to come up with measures and what to section of ESG to focus on. What services
will they focus on? Are they trying to improve companies or invest in only companies
that are “good” ESG companies.
127.Assume that you buy one share in a fund at the end of 2019 and at the end of 2020 and
that you have the following investment pattern. (Note that you have reinvested the dividend
you received in (2020)
End of Year
Net Asset Value of
the Fund
Dividend (paid at
end of year)
Your Account
2018
30
30
2019
25
5
25+5+25=55 (You
own 2.2 Shares)
2020
29
6
(2.2)*29+6*(2.2)=77
Arithmetic (future)
Return Yr 2: (25+5)/30-1=.20
Return Yr 3: (29+6)/25=.40
Geometric [(1+0)(1+.4)]^(½)-1=.1832 (past)
IRR= -30 - (25+5)/(1+t) +77/(1+t)^2 (joint effect of the investment and timing of cash flow
a.
What is the arithmetic, geometric and dollar-weighted return of the investment?
b.
Which would you use and why?
c.
Describe a situation where you might want to use the dollar-weighted return.
128.What is the Closed End Fund puzzle? Why can’t arbitrage resolve this puzzle?
●
Funds that hold a portfolio and sells claims against the portfolio
●
No inflows or outflows of cash
●
Net asset value
○
Value of securities divided by shares outstanding
○
Presumably close or equal to fundamental value
●
Share price- what the fund shares actually sell for in the market
●
Does share price = NAV
○
Not usually
○
NAV > price more often that not
○
Difference called the fund discount
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○
Discounts vary across funds and across time
○
Infrequently a stock fund will trade above the NAV which is referred to as a
premium average stock fund discounts are 10-12% bond discounts are lower but
still a discount
●
When funds begging NAV < price
○
Usually the price is about 10% greater
●
Within 120 days the average fund is trading at a discount of 10%
○
Typically a drop after IPO
●
Fund discounts vary occasionally rise to a premium
●
When funds are terminated prices usually rise to NAV, not the other way around
●
New funds appear often, usually when discounts on existing funds are small
●
Arbitrage opportunity exists but is difficult to execute in practice
○
Opportunity: NAV > price, then short assets in the fund and buyout the fund itself
○
Issue: when investors become aware of intentions to buy the fund, price increases,
or they refuse to sell to the purchaser
●
NAV is higher than share price but can’t arbitrage with SEC forcing you say what you are
doing
129. What are two rational explanations for the puzzle?
●
Agency cost
○
Do management fees lead to discounts
■
Researchers find no correlation between size of fees and discounts
■
Fees don’t fluctuate as discounts do. But transactions cost do
○
Poor investment choices by managers
■
Weak correlation between performance and discount
■
Variation in discount hard to connect to variation in investor expectations
of future returns
●
Illiquidity in closed end fund holdings- recent evidence is that this explains part of the
discount
○
Taxes
■
Value of assets held by fund worth less to investors after taxes implies a
discount
■
But tax effect should rise and fall with the market but the opposite occurs
●
In addition open-ending causes P to move up to NAV
●
Irrational explanation is sentimental about the cost
130. What is “sentiment” and how does it explain the puzzle?
●
Funds are started when sentiment is positive
●
Discounts vary because sentiment does
●
Sentiment is widespread and systematic
○
Discount represents compensation for exposure to this risk
●
Sentiment limits arbitrage
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●
If discounts are affected by sentiment then so should returns on other things that
individuals hold
●
Optimistic funds start and trade at a premium
●
Pessimistic funds have discounts widen
●
Presence of noise traders makes arbitrage risky
●
How stocks have the same sentiment amount if you can measure correctly. Puzzle is why
is it always lower than NAV? Discount for illiquidity?
131.What is the difference between uncertainty and risk?
●
Uncertainty: Unsure of results and chances of results. You are not sure what risk you are
bearing. You just do not know, data does not help. In different situation/world
●
Risk: You know the results and chances of them and choose to bare the chance of the bad
results. Data will help (maybe not perfect) but it helps
132. What historical event is the term “Tulipmania” based on? What about the event
showed investor irrationality? What evidence that at least some of the trading was
rational?
●
Tulipmania refers to the 17th century Holland craze for Tulips where Tulip bulbs of
certain patterns where highly valued and price speculated on
●
futures market for bulbs with cash settlement developed in 1636 (in taverns!) in spite of
the fact that futures contracts were illegal.
○
all contracts were enforceable by reputation only.
●
large amounts of foreign funds entered the country and people liquidated other assets to
participate in the tulip market
●
traders in common bulbs were non-professional
●
prices crashed by the end of February 1637 for no apparent reason. Most bulbs could not
be sold for more than 10 percent of their peak values at the end of February.
●
What could make this rational?
○
This speculation was confined to a three to four week period.
○
Serious” traders ignored this market and participants in the market had very little
wealth.
○
From 1635-37 Bubonic Plague killed 1/7 of population in Amsterdam, and 1/3 of
the population of Leiden. A poor population facing a high probability of death
could decide to gamble.
133.The “South Sea Island Bubble” coined the phrase “Greater Fool Theory”, what does
this mean?
●
created in 1711 to induce government bondholders to exchange bonds for stock in the
company
●
Trading company had two assets:
○
trading monopoly granted by England in America
○
an annuity of x% of the face value of the debt
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●
1720 War with France Ended. Law was passed to exchange all War debt to stock. Interest
in the stock exploded.
●
Failure in August - October occurred when public realized there were no legitimate plans
to build a trading business.
●
Greater Fool Theory
○
Many insiders knew the stocks were worthless but subscribed to the “greater fool’
theory: It may be foolish to pay this price but some fool will buy it from me for
more.
○
South Sea Company printed “Bubble” playing cards in 1720
○
Even the King of England lost 100,000£ of personal wealth in the South Sea
company
134.The MBS crisis of 2008 was driven by the expansion of toxic debt during the previous
three years.
●
Toxic debt means you had no idea about the real risk for assets and how things were
connected. You just did not know and break it back to original payers
●
Extremely high volume in creation, leverage and trading of MBS securities
●
Everyone assumed that US housing prices would continue to rise. National average price
had not fallen since 1934.
●
Investing in US MBS securities was world wide especially by banks.
●
Difficult to value MBS securities caused a loss in confidence when housing prices fell in
2008.
●
The best banks could not access the short term debt markets because of fear of
“counterparty” risk, i.e. the party on the other side of the transaction would go bankrupt.
●
World wide markets fell roughly $50 trillion
●
To illustrate just how complicated it can get, consider the following “facts” that have
become part of the folk wisdom of the crisis:
○
The devotion to the Efficient Markets Hypothesis led investors astray, causing
them to ignore the possibility that securitized debt was mispriced and that the
real-estate bubble could burst.
■
But collateralized debt obligations, the mortgaged backed bonds at the
center of the crisis were offered at much higher yields. The market was
efficient for these securities
○
Wall Street compensation contracts were too focused on short-term trading profits
rather than longer-term incentives. Also, there was excessive risk-taking because
these CEOs were betting with other people’s money, not their own.
■
But a 2011 study of executive compensation at 95 banks found that
CEO’s stock and option holdings were more than eight times the value of
their compensation. This means that their personal wealth was at risk. If
they knew of the impending crisis, they would have avoided it.
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■
Ken Lewis of BofA was holding $198 million of company stock which
fell to $48 million.
○
Investment banks greatly increased their leverage in the years leading up to the
crisis, thanks to a rule change by the U.S. Securities and Exchange Commission
(SEC).
●
Like World War II no single account of this vast and complicated calamity is sufficient to
describe it.
●
Even its starting date is not clear: US housing market crested in mid-2006, the
money-market industry had a liquidity crisis in 2007, Lehman failed in 2008...
●
Considerable distortion in the press about “causes”
○
Lee Pickard, former director of the SEC’s division of Market Regulation claimed
that the SEC changed a rule (rule 15c3-1, “net capital rule”) in 2004 that allowed
investment banks to borrow more.
○
NY Times (10/3/2008) picked this up
○
But Banks did not borrow more, the SEC did not change the rule which is not a
leverage rule in the first place. All this is available in the public domain.
●
For a review of 21 books about the crash see: “Reading about the Financial Crisis: A 21
Book Review” Andrew Lo, 2001 (MIT working paper).
●
When we agree about the facts, there will be less disagreement about what caused the
crash
....
135.What are ETFs? How are they different from open-end and closed-end mutual funds?
●
ETFs
○
Exchange Traded Funds
○
Initially introduced to replicate broad-based stock indexes
■
Initially designed as open-ended mutual funds tracking specific indexes
■
Gradually expanded to specific sectors, markets, and diverse asset classes
○
Traded on stock exchanges
■
Ownership of the underlying assets divided into shares
○
Shares created and redeemed based on investor demand
■
Number of shares fluctuates
●
ETFs VS mutual funds
○
Similarities
■
ETFs and Opened Ended funds
●
Shares created and redeemed based on investor demand
●
Number of shares fluctuate accordingly
■
ETFs and Closed Ended Funds
●
Continuously traded on exchanges like listed stock shares
○
Differences
■
ETFs and Index mutual Funds
●
5 Main Advantages
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○
Liquidity
■
ETFs traded any time during trading hours while
traditional mutual funds only traded at the end of
each day
■
Real-time efficient pricing
●
NAV of mutual funds only calculated once
per day
○
Low cost and tax advantage
■
Fees
●
ETFs usually do not bundle distribution fees
in the expense ratio
●
ETFs do not have load fees or marketing
fees
●
Overall lower fees than mutual funds
■
Taxes
●
Did not incur transaction charges in the
absence of in-kind trade process
○
High transparency
■
ETF managers obligated to disclose holdings daily
●
Mutual funds only required to make
quarterly disclosures
○
Lack of cash drag
■
ETF holders can sell shares on exchange when they
want to cash out and do not need to redeem the fund
○
Flexibility and accessibility
■
ETF managers could invest with margin purchases,
short selling, stop loss or limit orders, and option
trading
■
ETFs could have lower minimum investments and
are more accessible to investors
●
3 Main Disadvantages
○
ETF Bid-Ask spread could lead to tracking error
■
Impact would be small if underlying assets were
very liquid
○
Continuous ETF trading may lead to price fluctuation
○
Investors pay commission to brokers
■
Likely small
■
Differences in ETFs and Closed-Ended Funds
●
ETFs were traded close to NAV
○
Arbitrage mechanism
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■
If ETF were traded at a discount to the NAV, then
shares could be bought and redeemed for the
underlying assets
●
Closed-end fund prices could deviate largely from NAV
○
Determined solely by supply and demand
○
Closed-end funds were traded continuously on OTC
markets, but number of shares was fixed
■
Had no legal obligation to issue new shares or
redeem existing shares due to demand
136.How does an investor choose between an ETF and an index open-end mutual fund
tracking the same index?
●
An ETF will be passively managed and track the market closely with less risk, while a
mutual fund may hold the potential to beat the market but with greater risk and cost.
●
Long-term Open ended, short-term ETF. When you want to trade? Open-ended if want to
trade during the day
●
You can trade an ETF. Taxes are a rational reason. Trading based on timing is
overconfidence
137. What behavioral biases do investors show in making the choice between an index
open-end mutual fund and an ETF
tracking the same index?
●
Overconfidence. You are trying match an index, representative bias
138. What is a “smart beta” ETF and how is it linked to multifactor models and the
efficient markets hypothesis?
●
Smart Beta ETFs are a type of ETF that uses a rules based system to select the kind of
investments to be included in a portfolio. Smart Beta’s will provide a lower risk and more
tax efficiency and more flexibility to the investor to trade in and out of the fund when
compared to standard mutual funds.The goal of the smart beta is to get a alpha, lower
risk, or increase the diversification at a cost lower than traditional active management
strategies. This makes it a combination between efficient market hypothesis and value
investing. The advantage of smart beta is investors can choose the smart beta fund for
returns above the market average and can align their portfolios with their own strategy
and risk aversion. The downside is smart betas are more costly and have more risk.
●
Neither entirely active nor entirely passive
○
More active in terms of Trzcinka’s definition
■
Tries to beat the market / capitalize on some form of inefficiency
●
Uses factors similar to Fama-French Factor Model
○
Common Factors
■
Size
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■
Value
■
Momentum
■
Quality
■
Low volatility
●
Advantages
○
Convenience
○
Cost efficiency
○
Transparency
○
Liquidity
○
Low investment hurdle
○
Potential to improve risk-adjusted returns
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Momentum fund was a smart beta fund
●
Based around you can pick which factors are most important. Which factors are making
the price incorrect and believe in a semi-inefficient market. Says Betas are not a source of
risk but a source of return (this is against tradition ideals)
139. Which market is it easier for a sponsor to enter, the open-end mutual fund market or
the ETF market?
●
Said mutual fund in class but forgot why
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To enter and make money
●
May mentioned additional reasons but part was due to competition and differentiation.
Both are competitive markets, but mutual funds are easier to differentiate from
competitors
○
ex.) difficult to convince investors why they should invest in your ETF vs a
competitor that tracks the same index
140. What challenges did Fidelity have in trying to enter the ETF market in 2016?
●
Highly competitive market
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Expensive entry
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Switching from Active to Passive
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Cannibalization of clients, resources, and employees from Active Fidelity funds
1.
Differentiate between the following terms/concepts:
a.
Catering and clienteles: taking an action that short term investors want and
that is not in the interest of investors who want to maximize NPV. Clienteles are
investors who prefer capital gains over dividends a green fund
●
Examples: dividends, name change, stock splits (something other than
maximizing NPV)
●
Benefit to those who sell out/sell off
b.
Dividend payment and “home-made” dividend:
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●
Dividend pmt: cash flow that comes out check
●
Homemade dividend: when you sell shares (dividend payment through
repurchase)
○
Create yourself by selling shares
c.
Investor sentiment and irrationality: investor sentiment based on mood
(finance concept), irrationality is cognitive bias
d.
Synergy and valuation in mergers and acquisitions: synergy firm A and B
merge and gain value from merging. Valuation is the value of the firm
2.
Suppose an investment has a negative NPV but many shareholders believe
otherwise. These shareholders believe that this investment is value-maximizing. What
should be done? Are the age and tenure of management factors?
IF you are catering to short term investors you take it if long term you do not. Older
managers who will retire soon may do so to satisfy investors since repercussions will occur
once gone.
3.
A company has 1,000,000 shares outstanding at $15 each. Managers believe that the
discount rate appropriate for the risk of the company is 15% and total cash flows,
which are expected to be $1 million next year will rise by 5% indefinitely. Discuss a
strategy that is beneficial to current shareholders.
1 mil shares * 15 = $15 million market value
This is the dividend growth model
Price = dividend /(r-g) = 1 mil/ (15-5) 10,000,000
Issuance of new shares to then use capital raised to invest in positive NPV projects to make
firm value = market value
4.
DRK has just sold 100,000 shares in an IPO. The underwriter’s fees were 7% and
the stock moved from the offering price of $30 immediately to $44 where it stayed until
the end of the first day of trading.
a.
How much did this IPO bring to DRK?
100,000 * $30 = 3,000,000 *
(100%-7%) =2,790,000
b.
What was the explicit cost of this IPO for DRK?
(underwriter fees = 3,000,000
* 7% = $210,000
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c.
How much money was left on the table?
(44-30) * 100,000 = 1,400,000 ( for
DRK deduct the underwriter fee)
5.
Give a non-behavioral reason and a behavioral reason why the average stock price
at the end of the first trading day of an IPO is higher than the offering price.
Non behavioral: signaling ( IB does not signal it is a good stock or no one trusts the stocks
management) and due diligence
Behavioral: overconfidence and excited about the shares
6.
Goldman Sach’s IPO on May 4, 1999 raised $2,925,600,000 by issuing 55,200,000
shares at an offer price of $53. At the end of the day on May 4, the stock price was
$70.375. How much money was left on the table? Why did an investment bank like
Goldman price its shares so low at the offering?
(70.375-53) * 55,200,000 = 959,100,000
Priced shares low due to overconfidence in Goldman or maybe signaling prof did not give a
clear answer
7.
If you buy an IPO at the closing price on the first day of trading, what can you
expect to earn over the next two years relative to comparable stocks of the same size
and book/market? What does this fact imply about the first day average returns?
Less returns can be expected but not clear how much, this implies overconfidence
8.
What is “governance” and why is governance important if we look at the effect of
irrational managers?
ESG, the g is governance: inside directors are less likely to monitor management than outside
directors and a clear accounting system with reputable auditors and a compensation system
that aligns board of directors with shareholders. If managers are irrational and governance is
strong then managers can not really affect the firm but switch and can have severe effects. If
managers are irrational, agency cost will increase and harm the firm.
9.
What behavioral bias suggests looking at “years to payback” rather than NPV in
evaluating projects?
Salience, ease of understanding, and recency bias but salience is the major factor.
10. (
reading on Mood and Macroeconomics
) What effect does mood have on firm-level
decisions?
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Can affect firm level decisions, capital expenditures and mood can decrease capital
expenditures and expectations
11. (
reading on Manager Sentiment
) How should investors use a manager sentiment
index created from the tone of corporate reports?
Sentiment bad/negative: long
Sentiment good/positive: short
12. (
reading on Distracted Noise Traders
) What happens to adverse selection when noise
trading declines?
Adverse selection is defined as when trading against someone who knows more about the
stock than you do. Noise trading decreases the likelihood of this happening so a decrease
means a better chance of encountering a trader who knows more than you.
13. (
reading on Managerial Attitudes).
The paper shows that the attitude of managers
are important for debt policy. Is this evidence against rational finance? Why or why
not?
Yes, because rational finance says debt policy should be based on the cash flows however, if
it is dependent on manager attitude. Choosing attitude is irrational but it still occurs.
14. (
reading on 52 week reference prices
). What is a possible behavioral explanation for
the relationship between the 52 week high and the offer premium? Is this a cognitive
bias for the acquirer, the acquirer’s shareholders, the target managers or the target
shareholders?
Offer premium: the premium offered by the acquirer to the acquired company.
Found that it is higher when closer to the 52 week high it is disportionality close and not
rational should be based on firm synergy. The cognitive bias for the acquirer is recency
bias/salience, the shareholder bias does not exist they are not in decision, and the target
shareholders benefit
16. (
reading on MCIC )
What is the most probable explanation for the incorrect trading of
MCI by investors intending to trade MCIC?
Investors overconfident and not paying attention to the correct ticker symbol, meaning
sometimes undervalued and overvalued
17. (
reading on MCIC )
What are some reasons why investors find it hard to profit on
arbitrage in these situations?
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It is a short term investment with rapid change and hard to short these stocks and not a lot to
buy, overconfidence
18.
( reading on Mad Money)
What behavioral finance bias could be causing abnormal
overnight returns?
Recency bias, and overconfidence
19.
( reading on Mad Money)
What limits arbitrage on the overnight pricing caused by
Jim Cramer?
Again hard to short sell and expensive to do so. Agency cost, market is close when show
aries, other friction cost.
20.
(reading on Anchoring on Credit Spreads)
What is the types of evidence supporting
anchoring being the reason for mispricing credit spreads in the market for syndicated
loans?
Looked at loans when interest rates were going up and then going down. It shows that it
mattered what the interest rate was (although it should not have) and anchored on what the
company used to have.
21.
(
reading on IQ and Mutual Fund Choice
) The paper shows that IQ is negatively
correlated with fees. Higher IQ clients pay roughly 9% less in fees. What is a behavioral
reason for this? What is a rational reason?
behavioral biases : People don't understand fees are hurting them (underconfident to enter the
market without help), and the rational reason is low IQ people need the help.
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