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QUESTION 2 A researcher is interested in modeling the market dependence by using bivariate data on monthly log returns of GM stock and the S&P

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QUESTION 2 A researcher is interested in modeling the market dependence by using bivariate data on monthly log returns of GM stock and the S&P 500 Index spanning, from 1960 to 2016. The researcher performed a preliminary test on the data and the output is given below: Monthly log returns of GM stock Augmented Dickey-Fuller Test data: gmstock Dickey-Fuller - -8.7418, Lag order - 8. p-value = 0.01 Monthly log retums of S&P 500 Index Augmented Dickey-Fuller Test b) Interpret the best(s) in both CASE I and CASE Based on the information available, what is made you the analyst to it to the data? justify QUESTION 2 A researcher is interested in modeling the market dependence by using bivariate data on monthly log returns of GM stock and the S&P 500 index spanning from 1960 to 2016. The researcher performed a preliminary test on the data and the output is given below: Monthly log returns of GM stock Augmented Dickey-Fuller Test data: gmstock Dickey-Fuller = -0.7418, Lag order - 8, p-value = 0.01 Monthly log retums of S&P 500 index Augmented Dickey-Fuller Test QUESTION 2 A researcher is interested in modeling the market dependence by using bivariate data on monthly log returns of GM stock and the S&P 500 Index spanning, from 1960 to 2016. The researcher performed a preliminary test on the data and the output is given below: Monthly log returns of GM stock Augmented Dickey-Fuller Test data: gmstock Dickey-Fuller - -8.7418, Lag order - 8. p-value = 0.01 Monthly log retums of S&P 500 Index Augmented Dickey-Fuller Test b) Interpret the best(s) in both CASE I and CASE Based on the information available, what is made you the analyst to it to the data? justify QUESTION 2 A researcher is interested in modeling the market dependence by using bivariate data on monthly log returns of GM stock and the S&P 500 index spanning from 1960 to 2016. The researcher performed a preliminary test on the data and the output is given below: Monthly log returns of GM stock Augmented Dickey-Fuller Test data: gmstock Dickey-Fuller = -0.7418, Lag order - 8, p-value = 0.01 Monthly log retums of S&P 500 index Augmented Dickey-Fuller Test

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