Perform the following. 1. Create the line charts for each of S&P, Boeing and IBM series using Close prices against time in Excel and comment on your observations (focusing on different features a time series can exhibit). 2. a. Calculate returns for these three series in Excel using the transformation: r = 100*ln(P / t t P ) t-1 b. Obtain the summary statistics for returns series in your sample and briefly discuss the risk and average return relationship in each stock. Which stock (Boeing or IBM) is relatively riskier than the other? c. Perform the Jarque-Berra test of normally distributed returns for each of Boeing and IBM. Discuss your findings and also explain why do you test normality test. 3. Test the hypothesis that average return on Boeing stock is at least 3%. Which test statistic would you use to perform this hypothesis test and why? Also, specify the distribution of the test statistic under the null. 4. Before investing in one of the two stocks, you first want to compare risk associated to each of the two stocks. Perform any appropriate hypothesis test using 5% significance level and interpret your results. 5. You further want to determine whether both stocks have same population average return. Perform an appropriate hypothesis test using information in your sample of 65 observations on returns and report your findings. Also, which stock will you prefer and why? 6. Compute excess return on your preferred stock as y = r - r and excess market return t t f,t as x = r - r (that is, you subtract the 10-year T-Bill rate from return on your preferred t M,t f,t stock and the market return). 7. a. Estimate the CAPM using linear regression where the dependent variable is excess return on your preferred stock while the independent variable is excess market return (computed as return on S&P 500 minus the risk fee rate) and report your results. b. Interpret the estimated coefficients in relation to the...
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