INVESTMENTS-CONNECT PLUS ACCESS
11th Edition
ISBN: 2810022611546
Author: Bodie
Publisher: MCG
expand_more
expand_more
format_list_bulleted
Concept explainers
Videos
Question
Chapter 13, Problem 4PS
Summary Introduction
To calculate: The hypothesis is to be identified for a test of the second pass regression for the SML.
Introduction: The security market line (SML) is a line drawn on an outline that fills in as a graphical portrayal of the
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
In creating the T2 measure one mixes P* and T-bills to match the _____ of the market and in creating the M2 measure one mixes P* and T-bills to match the _____ of the market.
Group of answer choices
beta, alpha
alpha, beta
standard deviation, beta
beta, standard deviation
Find the numerical value of factor (F/A,19%,20) using:
a) the interpolation.
b) the formula.
You are given the following data about Asset A and Asset B.
Asset A Asset B
Expected returns 8.6% 7.9%
Standard Deviation 3.8% 4.6%
Assuming that an investor is to choose between Asset A or Asset B, explain which asset
a rational investor will choose.
c) With the use of a diagram, explain why an investor will always choose a point on the
SML line.
Chapter 13 Solutions
INVESTMENTS-CONNECT PLUS ACCESS
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, finance and related others by exploring similar questions and additional content below.Similar questions
- questions to be answeredarrow_forwardPLEASE ANSWER ALL THE QUESTIONS Question 1 Fill the parts in the above table that are shaded in yellow. You will notice that there are nine line items. Question 2 Using the data generated in the previous question (Question 1);a) Plot the Security Market Line (SML) b) Superimpose the CAPM’s required return on the SML c) Indicate which investments will plot on, above and below the SML? d) If an investment’s expected return (mean return) does not plot on the SML, what does it show? Identify undervalued/overvalued investments from the graph Question 3 From the information generated in the previous two questions; a) Identify two investment alternatives that can be combined in a portfolio. Assume a 50-50 investment allocation in each investment alternative. b) Compute the expected return of the portfolio thus formed. c) Compute the portfolio’s beta. Is the portfolio aggressive or defensive?arrow_forwardBy using only those factors given in interesttables, find the values of the factors that follow,which are not given in your tables. Show the relationship between the factors by using factor notation, andcalculate the value of the factor. Then compare thesolution you obtained by using the factor formulaswith a direct calculation of the factor values.For example, (F/P, 8%, 38) =(F/P, 8%, 30) (F/P, 8%, 8) = 18.6253.(a) (P/F, 8%, 67)(b) (A/P, 8%, 42)(c) (P/A, 8%, 135)arrow_forward
- a. Using the data in the table below alculate the following performance measures.i. Sharpe ratioii. Treynor measureiii. Jensen’s alphaiv. M-squared measurev. T-squared measure, andvi. Appraisal ratio (information ratio) Fund Average return Standard Deviation Beta coefficient Unsystematic Risk A 0.240 0.220 0.800 0.017 B 0.200 0.170 0.900 0.450 C 0.290 0.380 1.200 0.074 D 0.260 0.290 1.100 0.026 E 0.180 0.400 0.900 0.121 F 0.320 0.460 1.100 0.153 G 0.250 0.190 0.700 0.120 Market 0.220 0.180 1.000 0.000 Risk free return 0.050 0.000 b. Out of the performance measures you calculated in part a., which one would you use undereach of the following circumstances:i. You want to select one of the funds as your risky portfolio.ii. You want to select one of the funds to be mixed with the rest of your portfolio,currently composed solely of holdings in the market-index fund.iii. You want to select one of the funds to form an actively managed stock portfolioarrow_forwardcalculate the following Sharpe Ratio (SP) Treynor Measure Jensen Measure M2 measure T2 measure Information Ratio (appraisal ratio) Fund Average return Standard Deviation Beta coefficient Unsystematic Risk A 0.240 0.220 0.800 0.017 B 0.200 0.170 0.900 0.450 C 0.290 0.380 1.200 0.074 D 0.260 0.290 1.100 0.026 E 0.180 0.400 0.900 0.121 F 0.320 0.460 1.100 0.153 G 0.250 0.190 0.700 0.120 Market 0.220 0.180 1.000 0.000 Risk free return 0.050 0.000arrow_forwardThe probability distributions of expected returns for the assets are shown in the following table: Asset A Prob Return 0.2 -5% 0.4 10% 0.4 15% a) Calculate the expected return for asset A. b) Calculate the standard deviation for asset A.arrow_forward
- Expected return and standard deviation. Use the following information to answer the questions: a. What is the expected return of each asset? b. What is the variance of each asset? c. What is the standard deviation of each asset? Hint: Make sure to round all intermediate calculations to at least seven (7) decimal places. The input instructions, phra answers you will type. Data table (Click on the following icon in order to copy its contents into a spreadsheet.) Return on Asset A in State of Economy Boom Normal Recession Probability of State 0.35 0.51 0.14 Print State 0.05 0.05 0.05 Done Return on Asset B in State 0.23 0.08 -0.05 Return on Asset C in State 0.33 0.17 -0.22arrow_forwarda. Using the data in the table below and calculate the following performance measuresarrow_forwardAssume there are 3,600 cases in the validation dataset, and 12% of these cases have a value of 1 for churn (the primary/positive event). Questions a) to c) are based on data for the 3,600 cases (see table below). Depth (% Contacted) Model Cumulative Gain Cumulative Lift Decision Tree 34.42 6.84 Logistic Regression Neural Network 20.19 4.01 34.62 6.88 Decision Tree Logistic Regression Neural Network 10 64.90 6.06 10 36.06 3.15 10 62.50 5.54 Decision Tree 15 73.96 1.82 Logistic Regression Neural Network 15 49.04 2.62 15 82.21 3.97 Decision Tree Logistic Regression 20 78.39 0.87 20 59.13 2.01 Neural Network 20 86.54 0.86 a) Which model has the highest Cumulative Lift at a depth of 20%? What is the lift? b) If the Cumulative Gain at a depth of 10% for the Decision Tree is converted to number of primary/positive event cases, what will be the number of cases? Show your calculation. c) If the Cumulative Gain at a depth of 15% for the Neural Network model is converted to number of…arrow_forward
- You have been given the expected return data shown in the first table on three assets—F, G, and H—over the period 2016–2019. Using these assets, you have isolated the three investment alternatives shown in the following table. Calculate the expected return over the 4-year period for each of the three alternatives. Calculate the standard deviation of returns over the 4-year period for each of the three alternatives. Use your findings in parts a and b to calculate the coefficient of variation for each of the three alternatives. On the basis of your findings, which of the three investment alternatives do you recommend? Why?arrow_forwardCan you explain, when calculating the mean why the probability is included in the calculation? eg when you're using excel: (0.2*7) + (0.1*7) + (0.3*7) + (0.3*7) + (0.1*7) = 7%arrow_forwardYou are analyzing risk and return and CAPM using the historical data provided below (the same as the downloadable file DataQ16.xlsx ). YYYYMM Return(Stk) Return(Mkt) Return(T-bill) 201601 -4.98% -10.18% 0.05% 201602 -2.07% -2.90% 0.06% 201603 11.63% 8.71% 0.06% 201604 0.32% 1.40% 0.07% 201605 9.39% -1.20% 0.09% 201606 1.62% -0.10% 0.09% 201607 5.91% 5.28% 0.09% 201608 8.20% 4.96% 0.08% 201609 5.55% 1.39% 0.09% 201610 -3.38% -1.56% 0.11% 201611 -5.88% -0.63% 0.11% 201612 -2.07% -3.46% 0.12% 201701 7.75% 6.18% 0.14% 201702 1.27% 1.63% 0.14% 201703 7.63% 1.56% 0.09% 201704 9.25% 2.09% 0.09% 201705 10.20% 4.25% 0.08% 201706 4.33% 0.41% 0.09% 201707 12.25% 6.05% 0.11% 201708 4.98% 2.37% 0.11% 201709 2.19% -1.49% 0.09% 201710 4.05% 2.51% 0.09% 201711 13.78%…arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
Excel Applications for Accounting PrinciplesAccountingISBN:9781111581565Author:Gaylord N. SmithPublisher:Cengage Learning
Auditing: A Risk Based-Approach (MindTap Course L...AccountingISBN:9781337619455Author:Karla M Johnstone, Audrey A. Gramling, Larry E. RittenbergPublisher:Cengage Learning
Essentials of Business Analytics (MindTap Course ...StatisticsISBN:9781305627734Author:Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. AndersonPublisher:Cengage Learning
Financial Reporting, Financial Statement Analysis...FinanceISBN:9781285190907Author:James M. Wahlen, Stephen P. Baginski, Mark BradshawPublisher:Cengage Learning
Excel Applications for Accounting Principles
Accounting
ISBN:9781111581565
Author:Gaylord N. Smith
Publisher:Cengage Learning
Auditing: A Risk Based-Approach (MindTap Course L...
Accounting
ISBN:9781337619455
Author:Karla M Johnstone, Audrey A. Gramling, Larry E. Rittenberg
Publisher:Cengage Learning
Essentials of Business Analytics (MindTap Course ...
Statistics
ISBN:9781305627734
Author:Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson
Publisher:Cengage Learning
Financial Reporting, Financial Statement Analysis...
Finance
ISBN:9781285190907
Author:James M. Wahlen, Stephen P. Baginski, Mark Bradshaw
Publisher:Cengage Learning
Financial Risks - Part 1; Author: KnowledgEquity - Support for CPA;https://www.youtube.com/watch?v=mFjSYlBS-VE;License: Standard youtube license