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BUS5SBF Statistics for Business and Finance

Published : 27-Sep,2021  |  Views : 10

Question:

Create the line charts for each of S&P, Yahoo and Google series using Close prices against time in Excel and comment on your observations (focusing time series features).
a. Calculate returns for these three series in Excel using the transformation: rt = 100 ln[Pt/Pt-1]
• We performed a similar task in Tutorial 01.
• These numbers would represent percentages after multiplication with 100 in the formula above. However,you would not put a percentage sign in your data. For example, returns for two periods are 0.35% and 0.41% but we omit % sign in our excel worksheet and use 0.35 and 0.41.
b. Obtain the summary statistics for your sample and briefly discuss the risk and average return relationship in each stock. Which stock (Google or Yahoo) is relatively riskier than the other.
c. Perform the Jarque-Berra test of normally distributed returns for each of Yahoo, Google and S&P.
 
Before investing in one of the two stocks based on higher risk-return relationship, you further want to determine whether both stocks have same population average return. Perform an appropriate hypothesis test using information in your actual sample of 56 observations and report your findings. Also, which stock will you prefer and why.

Create two new columns in Excel for excess return on your preferred stock (yt) and excess market return (xt) by subtracting the 10-year T-Bill rate from both series as follows.
Excess return on your preferred stock: yt = rt - rf,t
Excess return on market: xt = rM,t - rf,t
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 profitability of the Stock and its riskiness in comparison with the market.
c. Interpret the value of R2
d. Interpret 95% confidence interval for the slope coefficient.

Answer:

Date S&P 500 GooGle Yahoo 10 year T-bill
01-06-2012 1362.16 580.07 15.83 1.659
01-07-2012 1379.32 632.97 15.84 1.492
01-08-2012 1406.58 685.09 14.65 1.562
01-09-2012 1440.67 754.50 15.98 1.637
01-10-2012 1412.16 680.30 16.84 1.686
01-11-2012 1416.18 698.37 18.77 1.606
01-12-2012 1426.19 707.38 19.9 1.756
01-01-2013 1498.11 755.69 19.63 1.985
01-02-2013 1514.68 801.20 21.31 1.888
01-03-2013 1569.19 794.19 23.53 1.852
01-04-2013 1597.57 824.57 24.73 1.675
01-05-2013 1630.74 871.22 26.30 2.164
01-06-2013 1606.28 880.37 25.13 2.478
01-07-2013 1685.73 887.75 28.09 2.593
01-08-2013 1632.97 846.90 27.12 2.749
01-09-2013 1681.55 875.91 33.17 2.615
01-10-2013 1756.54 1030.58 32.94 2.542
01-11-2013 1805.81 1059.59 36.98 2.741
01-12-2013 1848.36 1120.71 40.44 3.026
01-01-2014 1782.59 1180.97 36.01 2.668
01-02-2014 1859.45 1215.65 38.67 2.658
01-03-2014 1872.34 1114.51 35.90 2.723
01-04-2014 1883.95 1068.69 35.95 2.648
01-05-2014 1923.57 571.65 34.65 2.457
01-06-2014 1960.23 584.67 35.13 2.516
01-07-2014 1930.67 579.55 35.81 2.556
01-08-2014 2003.37 582.36 38.51 2.343
01-09-2014 1972.29 588.41 40.75 2.508
01-10-2014 2018.05 567.87 46.05 2.335
01-11-2014 2067.56 549.08 51.74 2.194
01-12-2014 2058.90 530.66 50.51 2.17
01-01-2015 1994.99 537.55 43.99 1.675
01-02-2015 2104.50 562.63 44.28 2.002
01-03-2015 2067.89 554.70 44.44 1.934
01-04-2015 2085.51 548.77 42.57 2.046
01-05-2015 2107.39 545.32 42.94 2.095
01-06-2015 2063.11 540.04 39.29 2.335
01-07-2015 2103.84 657.50 36.67 2.205
01-08-2015 1972.18 647.82 33.69 2.2
01-09-2015 1920.03 638.37 28.91 2.06
01-10-2015 2079.36 737.39 35.62 2.151
01-11-2015 2080.41 762.85 33.81 2.218
01-12-2015 2043.94 778.01 33.26 2.269
01-01-2016 1940.24 761.35 29.51 1.931
01-02-2016 1932.23 717.22 31.79 1.74
01-03-2016 2059.74 762.90 36.81 1.786
01-04-2016 2065.30 707.88 36.60 1.819
01-05-2016 2096.95 748.85 37.94 1.834
01-06-2016 2098.86 703.53 37.56 1.488
01-07-2016 2173.60 791.34 38.19 1.458
01-08-2016 2170.95 789.85 42.75 1.568
01-09-2016 2168.27 804.06 43.10 1.608
01-10-2016 2126.15 809.90 41.55 1.834
01-11-2016 2198.81 775.88 41.02 2.368
01-12-2016 2238.83 809.45 38.67 2.479
01-01-2017 2278.87 820.19 44.07 2.451
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