In: Finance
Part 1:
The following table shows historical stock prices of Spider S&P 500 ETF and Amazon stock. The prices listed are the adjusted closing prices on the first day of each month from 9/1/2016 to 8/1/2018. The monthly risk-free rates for the T-bills are also listed in the table. Using the price data, calculate the monthly returns for the Spider S&P 500 ETF and the Amazon stock, respectively, from September 2016 to July 2018 (note that the monthly return for August 2018 cannot be calculated). For example, the monthly return for SPY in September 2016 can be calculated as ri = (205.5252 - 208.1)/208.1 = -0.0119 = -1.19%. Its excess return is Ri = r - rf = -1.19% - 0.015% = -1.1915%.
Apply the single-index model and regression analysis to find the alpha (αi) and beta (βi) for Amazon stock. What is the total risk, systematic risk, and firm-specific risk for that stock?
Note:
The single-index model describes security returns by Ri=α +βRM + e<sub>i</sub> where Ri=ri,/sub>-rf and Rm=rm-rf
(You need to calculate these: Ri and Rm)
Now you can run the regression Yi = α + β Xi + ei
When you run Regression with Excel, it will ask you to “Input Y Range” & “Input X Range”. You need to enter Rivalues for Yi & RM values for Xi. You also need to check mark “Residuals” to calculate the ei values. Once you have run the regression analysis, you will see the results of the analysis in three tables: SUMMARY OUTPUT, ANOVA, & RESIDUAL OUTPUT.
Get the relevant values for each item in the following equation.
Variance (Ri) = Variance (αi + βiRM + ei=i) = Variance (βiRM) + Variance (ei)
σ2i= βi2σ2M+ σ2 (ei)
Or, Total Risk (σ2i) = Systematic risk ( βi2σ2M) + Firm-specific risk (σ2 (ei)).
For example, in the ANOVA table, α can be found as the Coefficient for the Intercept and β as the Coefficient for X Variable 1.
Date |
Adj Close: SPY |
Adj Close: AMZN |
Rf (Monthly): T-bills |
---|---|---|---|
9/1/2016 |
208.1 |
837.31 |
0.01500% |
10/1/2016 |
205.5252 |
789.82 |
0.02000% |
11/1/2016 |
213.0964 |
750.57 |
0.02417% |
12/1/2016 |
216.1423 |
768.66 |
0.03417% |
1/1/2017 |
221.3068 |
823.48 |
0.04083% |
2/1/2017 |
230.0023 |
845.04 |
0.03917% |
3/1/2017 |
229.2923 |
886.54 |
0.05417% |
4/1/2017 |
232.5757 |
924.99 |
0.06083% |
5/1/2017 |
235.858 |
994.62 |
0.05917% |
6/1/2017 |
236.2097 |
968 |
0.06833% |
7/1/2017 |
242.2404 |
987.78 |
0.07917% |
8/1/2017 |
242.9471 |
980.6 |
0.08000% |
9/1/2017 |
246.6185 |
961.35 |
0.08167% |
10/1/2017 |
253.6826 |
1105.28 |
0.08167% |
11/1/2017 |
261.4366 |
1176.75 |
0.08917% |
12/1/2017 |
263.2616 |
1169.47 |
0.09833% |
1/1/2018 |
279.5203 |
1450.89 |
0.10583% |
2/1/2018 |
269.3568 |
1512.45 |
0.11333% |
3/1/2018 |
260.9286 |
1447.34 |
0.13417% |
4/1/2018 |
263.3276 |
1566.13 |
0.13583% |
5/1/2018 |
269.7288 |
1629.62 |
0.13917% |
6/1/2018 |
270.0673 |
1699.8 |
0.14750% |
7/1/2018 |
281.33 |
1777.44 |
0.15500% |
8/1/2018 |
281.78 |
1882.62 |
0.16083% |
Part 2:
Assume your complete portfolio is a single security portfolio; all the money is invested in Amazon stock. Analyze your portfolio’s performance relative to a passive investment strategy of holding Spider S&P 500 ETF (SPY). Your analysis should cover different performance measures, including Sharpe ratio, M2 measure, Treynor ratio, Jensen’s alpha, and information ratio. By which measures did your single-security portfolio outperform the market? Which performance measure might be most relevant to your single-security portfolio?