Question

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

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

  1. Compute the expected return of X and Y. 

  2. Compute the standard deviation of X and Y. 

  3. Compute the Sharpe ratio of X and Y. Assume the risk-free rate is 1%. 

  4. Compute the covariance and correlation coefficient between X and Y. 

Solutions

Expert Solution

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


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