In: Finance
Given the monthly returns that follow:
Month | Portfolio Return | S&P 500 Return |
Jan. | 5.5.% | 5.8% |
Feb. | -2.4 | -3.3 |
March | -1.8 | -1.5 |
April | 2.7 | 2.0 |
May | 0.7 | -0.1 |
June | -0.9 | -0.4 |
July | 0.1 | 0.5 |
August | 1.5 | 2.0 |
September | -0.8 | -0.6 |
October | -3.2 | -3.7 |
November | 2.4 | 1.6 |
December | 0.6 | 0.1 |
Calculate R2:
Alpha: %
Beta:
Average return difference (with signs): %
Average return difference (without signs) %
Putting the values in the MS Excel
Using Excel's Data Analysis, Regression was done where Y is S&P 500 Returns and X is Portfolio Return
Below is the output of the Regression:
As per the above results, R-squared = 94.9% and Adjusted R-squared = 94.4%
Average Portifolio Monthly Return = (Sum of all the monthly returns) / (Number of Observations) = 4.40% / 12 = 0.37%
Average S&P 500 Monthly Return = (Sum of all the monthly returns) / (Number of Observations) = 2.40% / 12 = 0.20%
Alpha is the Excess Return that Portfolio has yielded over S&P 500 = 0.37% - 0.20% = 0.17% (monthly)
Alpha is also the intercept of the regression results
Beta for the question is 1.017 which means if Portfolio Return changes by 1 unit, then S&P Index return changes by 1.017 unit.
Average Return difference with signs = Avg Portfolio Return monthly - Avg S&P Return monthly = 0.17%
If we annualize the average return of Portfolio and S&P 500 using (1+r)^12 -1 formula then
Annualized Portfolio Return = 4.49%
Annualized S&P 500 Return = 2.43%
Hence, Annualized return difference = 2.06%
Since Average return difference is positive, hence, both with signs and without signs, it remains same.