In: Finance
You are considering investing in two stocks, stock X and stock Y. Given your research, you expect two possible scenarios for the future: a bull market and a bear market. You also uncovered the return distribution of X and Y:
Scenarios | Probabilities | Return for Stock X | Return for Stock Y |
Bull | 0.3 | 0.8 | -0.3 |
Bear | 0.7 | 0.4 | 0.1 |
Compute the expected return of X and Y.
Compute the standard deviation of X and Y.
Compute the Sharpe ratio of X and Y. Assume the risk-free rate is 1%.
Compute the covariance and correlation coefficient between X and Y.
Part 1:
Expected Ret = Sum [ Prob * ret ]
Stock X:
Scenario | Prob | Ret | Prob * Ret |
Bull | 0.3000 | 0.8000 | 0.2400 |
Bear | 0.7000 | 0.4000 | 0.2800 |
Expected Ret | 0.5200 |
Stock Y:
Scenario | Prob | Ret | Prob * Ret |
Bull | 0.3000 | (0.3000) | (0.0900) |
Bear | 0.7000 | 0.1000 | 0.0700 |
Expected Ret | (0.0200) |
Standard Deviation:
Standard deviation is a measure of amount of variation or dispersion of set of values. It spcifies the risk of set of values.
SD = SQRT [ SUm [ Prob * (X-AVgX)^2 ] ]
Stock X:
State | Prob | Ret (X) | (X-AvgX) | (X-AvgX)^2 | Prob * (X-Avg X)^2 |
Bull | 0.3000 | 0.8000 | 0.2800 | 0.078400 | 0.02352 |
Bear | 0.7000 | 0.4000 | (0.1200) | 0.014400 | 0.01008 |
Sum[ Prob * ( X-AvgX)^2 ) ] | 0.03360 | ||||
SD = SQRT [ [ Sum[ Prob * ( X-AvgX)^2 ) ] ] ] | 0.18330 |
SD is 18.33%
STock Y:
State | Prob | Ret (X) | (X-AvgX) | (X-AvgX)^2 | Prob * (X-Avg X)^2 |
Bull | 0.3000 | (0.3000) | (0.2800) | 0.078400 | 0.02352 |
Bear | 0.7000 | 0.1000 | 0.1200 | 0.014400 | 0.01008 |
Sum[ Prob * ( X-AvgX)^2 ) ] | 0.03360 | ||||
SD = SQRT [ [ Sum[ Prob * ( X-AvgX)^2 ) ] ] ] | 0.18330 |
SD is 18.33%
Part C:
Sharpe Ratio:
The ratio is the average return earned in excess of the risk-free rate per unit of total risk or Volatality. It is alsoknown as Reward to Variability ratio.
Sharpe ratio = [ Expected Ret - Rf ] / SD
Rf - Risk free Ret
Higher Ratio will be given better ranking.
Stock X:
Particulars | Amount |
Expected Ret | 52.00% |
Risk Free Ret | 1.00% |
SD | 18.33% |
Sharpe ratio = [ Expected Ret - Rf ] / SD
= [ 52 % - 1 % ] / 18.33 %
= [ 51 % ] / 18.33 %
= 2.7823
Stock Y:
Particulars | Amount |
Expected Ret | -2.00% |
Risk Free Ret | 1.00% |
SD | 18.33% |
Sharpe ratio = [ Expected Ret - Rf ] / SD
= [ -2 % - 1 % ] / 18.33 %
= [ -3 % ] / 18.33 %
= -0.1637
Part D:
Covariance:
Covariance is a statistical tool that is used to determine the relationship between the movement of two assets/ Stocks.
Covariance = Sum [ prob * (X-Avg X)(Y-Avg Y) ]
Scenario | Prob | Ret (X) | (X-AvgX) | Ret (Y) | (Y-AvgY) | (X-AVgX)(Y-AvgY) | Prob* (X-AVgX)(Y-AvgY) |
Bull | 0.3000 | 80.00% | 28.00% | -30.00% | -28.00% | -0.0784 | -0.02352 |
Bear | 0.7000 | 40.00% | -12.00% | 10.00% | 12.00% | -0.0144 | -0.01008 |
Covariance = Sum [Prob * (X-AvgX)(Y-AvgY) ] | -0.03360 |
Correlation:
Particulars | Values |
Covariance (X , Y) | -0.0336 |
SD of X | 18.33% |
SD of Y | 18.33% |
Correlation (r ) = Covariance ( X , Y ) / [ SD of X * SD of Y ]
= -0.0336 / [ 0.18 * 0.18 ]
= -0.0336 / [ 0.03 ]
= -1
Correaltion (X , Y ) is -1