In: Finance
You are an investment manager considering investments in a Stock fund and a bond fund. You forecast the following scenario probabilities and returns for the two assets:
Scenario | Probability | Stock fund Return (%) | Bond fund Return (%) |
Recession | 1/3 | -15% | -9% |
Normal growth | 1/3 | 6% | 15% |
Boom | 1/3 | 30% | 9% |
Which of the following is closest to the volatility (standard deviation) of the Stock fund return?
10%
18%
3%
20%
14%
Based on the data in Question #22, which of the following is closest to the covariance between the returns on the Stock and Bond funds?
0.015
0.017
0.013
0.011
0.019
Return | |||||||||
Probability | stock(x) | p*x | bond(y) | p*y | ∑p(x-∑px)^2 | ∑p(y-∑py)^2 | ∑p(x-∑px)(y-∑py) | ||
0.33 | -15 | -5 | -9 | -3 | 161.33 | 65.33 | 102.67 | ||
0.33 | 6 | 2 | 15 | 5 | 0.33 | 33.33 | -3.33 | ||
0.33 | 30 | 10 | 9 | 3 | 176.33 | 5.33 | 30.67 | ||
∑px | 7 | ∑py | 5 | 338 | 104 | 130 | |||
Standard deviation of stock(%)= | (∑p(x-∑px)^2)^(1/2) | ||||||||
18.38 | (338^(1/2)) | ||||||||
Hence the standard deviation is closest to 18% | |||||||||
Covariance(percent sq)= | ∑p(x-∑px)(y-∑py) | ||||||||
Since covariance is in percent square so to arrive at the absolute value of covariance we need to divide our value calculated above by 100^2 | |||||||||
so our covariance is 0.013 |