Using the data in the following table, estimate the:
a. Average return and volatility for each stock
b. Correlation between these two stocks.
c. The average return of stock A is %.
Year | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 |
---|---|---|---|---|---|---|
Stock A | -13% | 20% | 9% | -6% | 1% | 10% |
Stock B | 21% | 33% | 45% | -8% | -7% | 33% |
Stock A | |||||||||
Year | AR | ER = Avg. R | (AR-ER) | (AR-ER)^2 | |||||
2010 | -13 | 3.5 | -16.5 | 272.25 | |||||
2011 | 20 | 3.5 | 16.5 | 272.25 | |||||
2012 | 9 | 3.5 | 5.5 | 30.25 | |||||
2013 | -6 | 3.5 | -9.5 | 90.25 | |||||
2014 | 1 | 3.5 | -2.5 | 6.25 | |||||
2015 | 10 | 3.5 | 6.5 | 42.25 | |||||
Average = | 3.5 | 713.5 | |||||||
Stock B | |||||||||
Year | AR | ER = Avg. R | (AR-ER) | (AR-ER)^2 | |||||
2010 | 21 | 19.5 | 1.5 | 2.25 | |||||
2011 | 33 | 19.5 | 13.5 | 182.25 | |||||
2012 | 45 | 19.5 | 25.5 | 650.25 | |||||
2013 | -8 | 19.5 | -27.5 | 756.25 | |||||
2014 | -7 | 19.5 | -26.5 | 702.25 | |||||
2015 | 33 | 19.5 | 13.5 | 182.25 | |||||
Average = | 19.5 | 2475.5 | |||||||
Average return of A= | 3.5 | ||||||||
Average return of B = | 19.5 | ||||||||
Volatility (Std Dev. Of A) = | SQRT((∑(AR-ER)^2) / (n-1)) | 11.94571 | |||||||
sQRT(713.5 / (6-1)) | |||||||||
Volatility (Std Dev. Of B) = | sQRT(2475.5 / (6-1)) | 22.25084 | |||||||
(b) | |||||||||
Covariance between stock | |||||||||
Year | Stock A (AR - ER) | Stock B (AR-ER) | Stock A (AR - ER) * Stock B (AR-ER) | ||||||
2010 | -16.5 | 1.5 | -24.75 | ||||||
2011 | 16.5 | 13.5 | 222.75 | ||||||
2012 | 5.5 | 25.5 | 140.25 | ||||||
2013 | -9.5 | -27.5 | 261.25 | ||||||
2014 | -2.5 | -26.5 | 66.25 | ||||||
2015 | 6.5 | 13.5 | 87.75 | ||||||
753.5 | |||||||||
Covariance = 753.5 / (6-1) | 150.7 | ||||||||
(c ) | |||||||||
Correlation = Covariance between stock / (Std. dev. Of A * std. dev. Of B) | |||||||||
150.7 / (11.94571 * 22.25084) | |||||||||
0.566963 | |||||||||
So, Correlation between two stock is 0.57. | |||||||||
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