Question

In: Finance

Part 1: The following table shows historical stock prices of Spider S&P 500 ETF and Amazon...

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.

Single-Index Model Data Set

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?

Solutions

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Solution:

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