Question: adf.test(ret) Augmented Dickey-Fuller Test data: ret Dickey-Fuller = -14.405, Lag order = 14, p-value = 0.01 alternative hypothesis: stationary Return is non-stationary. Since the p-value

 adf.test(ret) Augmented Dickey-Fuller Test data: ret Dickey-Fuller = -14.405, Lag order

adf.test(ret) Augmented Dickey-Fuller Test data: ret Dickey-Fuller = -14.405, Lag order = 14, p-value = 0.01 alternative hypothesis: stationary Return is non-stationary. Since the p-value is very small we reject the null hypothesis of a unit root. Price is non-stationary. Since the p-value is large we do not reject the null hypothesis of a unit root. Price is stationary. Since the p-value is large we do not reject the null hypothesis of a unit root. Both price and return are stationary Question 11 (5 points) In the estimated GJR-GARCH equation for MSFT returns do negative returns predict higher volatility or lower? MacBook Pro N @ # & K 2 3 4 5 6 V 8 W E R T Y U

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