代写MATH377: Financial and Actuarial Modelling in R Tutorial 6帮做R程序

MATH377: Financial and Actuarial Modelling in R

Tutorial 6

Exercise 1. Returns on stocks A and B have the following joint probability distribution:

Probability

Return on Stock A (RA )

Return on Stock B (RB )

0.1

10%

35%

0.2

2%

5%

0.4

12%

20%

0.2

20%

25%

0.1

38%

45%

Table 1: Joint probability distribution for returns on stocks A and B

a)  Compute the expected returns on stocks A and B.

b)  Compute the standard deviations of the returns on stocks A and B.

c)  Consider a portfolio consisting of 40% of stock A and 60% of stock B. Compute the expected value and standard deviation for the return on this portfolio.

d)  Plot the standard deviation of the portfolio’s return as a function of the weight wA on stock A.

e) What is the minimum variance portfolio? What is the expected return on the minimum variance portfolio?

Exercise 2. Consider three stocks,A,B, and C, with expected rates of return E[RA] = 20%, E[RB] = 15%, and E[RC] = 10%. Moreover, the covariance matrix of the returns of these three stocks is:

RA

RB

RC

RA

0.36

0.084

0.105

RB

0.084

0.1225

0.07

RC

0.105

0.07

0.0625

Table 2: Covariance matrix

Using these three stocks, an investor would like to create a portfolio with an expected return of 16% and minimum risk (measured as the standard deviation of the return).

a) What is the standard deviation of the portfolio’s return?

b)  Find the weights of the portfolio.

Exercise 3. Consider stocks A, B, and C with expected rates of return E[RA] = 0.0427, E[RB] = 0.0015, and E[RC] = 0.0285, and covariance matrix

RA

RB

RC

RA

0.01

0.0018

0.0011

RB

0.0018

0.0109

0.0026

RC

0.0011

0.0026

0.0199

Table 3: Covariance matrix

a)  Find the mean and variance of the return of an equally weighted portfolio.

b)  Plot the opportunity set. Note: use values between 3 and -3 for wA and wB.

c) Assuming that Rf  = 0.02, plot the capital market line.

d)  Find the weights of the optimal risky portfolio.

e)  Find the mean and standard deviation of the optimal risky portfolio’s return.





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