Previously, you studied linear combinations of independent random variables. What happens if the variables are not independent? A lot of mathematics can be used to prove the following: Let x and y be random variables with means μx and μy, variances σ2x and σ2y, and population correlation coefficient ρ (the Greek letter rho). Let a and b be any constants and let w = ax + by for the following formula. μw = aμx + bμyσ2w = a2σ2x + b2σ2y + 2abσxσyρ In this formula, r is the population correlation coefficient, theoretically computed using the population of all (x, y) data pairs. The expression σxσyρ is called the covariance of x and y. If x and y are independent, then ρ = 0 and the formula for σ2w reduces to the appropriate formula for independent variables. In most real-world applications the population parameters are not known, so we use sample estimates with the understanding that our conclusions are also estimates.Do you have to be rich to invest in bonds and real estate? No, mutual fund shares are available to you even if you aren't rich. Let x represent annual percentage return (after expenses) on the Vanguard Total Bond Index Fund, and let y represent annual percentage return on the Fidelity Real Estate Investment Fund. Over a long period of time, we have the following population estimates. μx ≈ 7.34,      σx ≈ 6.55,      μy ≈ 13.19,      σy ≈ 18.57,      ρ ≈ 0.424(a) Do you think the variables x and y are independent? Explain your answer. Yes. Interest rates probably has no effect on the investment returns. No. Interest rates probably has no effect on the investment returns. No. Interest rate probably affects both investment returns. Yes. Interest rate probably affects both investment returns. (b) Suppose you decide to put 75% of your investment in bonds and 25% in real estate. This means you will use a weighted average w = 0.75x + 0.25y. Estimate your expected percentage return μw and risk σw.μw =  σw =  (c) Repeat part (b) if w = 0.25x + 0.75y.μw =  σw =  (d) Compare your results in parts (b) and (c). Which investment has the higher expected return? Which has the greater risk as measured by σw? w = 0.75x + 0.25y produces higher return with lower risk as measured by σw. w = 0.25x + 0.75y produces higher return with lower risk as measured by σw. w = 0.25x + 0.75y produces higher return with greater risk as measured by σw. Both investments produce the same return with the same risk as measured by σw. w = 0.75x + 0.25y produces higher return with greater risk as measured by σw.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Question

Previously, you studied linear combinations of independent random variables. What happens if the variables are not independent? A lot of mathematics can be used to prove the following: Let x and y be random variables with means μx and μy, variances σ2x and σ2y, and population correlation coefficient ρ (the Greek letter rho). Let a and b be any constants and let w = ax + by for the following formula.

μw = aμx + bμy
σ2w = a2σ2x + b2σ2y + 2abσxσyρ

In this formula, r is the population correlation coefficient, theoretically computed using the population of all (xy) data pairs. The expression σxσyρ is called the covariance of x and y. If x and y are independent, then ρ = 0 and the formula for σ2w reduces to the appropriate formula for independent variables. In most real-world applications the population parameters are not known, so we use sample estimates with the understanding that our conclusions are also estimates.

Do you have to be rich to invest in bonds and real estate? No, mutual fund shares are available to you even if you aren't rich. Let x represent annual percentage return (after expenses) on the Vanguard Total Bond Index Fund, and let y represent annual percentage return on the Fidelity Real Estate Investment Fund. Over a long period of time, we have the following population estimates.

μx ≈ 7.34,      σx ≈ 6.55,      μy ≈ 13.19,      σy ≈ 18.57,      ρ ≈ 0.424

(a) Do you think the variables x and y are independent? Explain your answer.
Yes. Interest rates probably has no effect on the investment returns.
No. Interest rates probably has no effect on the investment returns.
No. Interest rate probably affects both investment returns.
Yes. Interest rate probably affects both investment returns.


(b) Suppose you decide to put 75% of your investment in bonds and 25% in real estate. This means you will use a weighted average w = 0.75x + 0.25y. Estimate your expected percentage return μw and risk σw.
μw =  
σw =  

(c) Repeat part (b) if w = 0.25x + 0.75y.
μw =  
σw =  
(d) Compare your results in parts (b) and (c). Which investment has the higher expected return? Which has the greater risk as measured by σw?
w = 0.75x + 0.25y produces higher return with lower risk as measured by σw.
w = 0.25x + 0.75y produces higher return with lower risk as measured by σw.
w = 0.25x + 0.75y produces higher return with greater risk as measured by σw.
Both investments produce the same return with the same risk as measured by σw.
w = 0.75x + 0.25y produces higher return with greater risk as measured by σw.
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 5 steps with 2 images

Blurred answer
Knowledge Booster
Point Estimation, Limit Theorems, Approximations, and Bounds
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
Similar questions
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman