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Suppose that you estimate CAPM and Fama-French model regressions using daily excess returns of Apples stock (ticker: APPL) and the factors in 2023. The output

Suppose that you estimate CAPM and Fama-French model regressions using daily excess returns of Apples stock (ticker: APPL) and the factors in 2023. The output of these two regressions is provided below, where the Intercept and Std Dev of Error are annualized. DATA FOR QUESTIONS 4-7 Regression Coefficients Model Intercept MktRf SMB HML Std. Dev. of Error R2 Fama-French 33.22% 1.125 -1.536 1.784 33.25% 13.04% CAPM 37.54% 1.167 42.95% 7.02% All coefficient estimates above are statistically significantly different from zero at the 5% level. MktRf, SMB, and HML refer to the three Fama-French factors. Additionally, in Questions 4 to 7, use the following assumptions about the risk-free rate and the three factors. Time Period Risk-free MktRf SMB HML 2023 historical return 4.00% 25.67% 4.36% 0.20% 2024 expected return 4.50% 5.00% 2.50% 3.00% Note: The risk-free returns are raw returns, whereas the factor returns are excess returns. Please check for inputs in the Assignment headings to answer this question! In 2023, suppose that you held a net long portfolio with the following weights in APPL stock, the market, and the risk-free asset: wAPPL = 100%, wM = -116.7%, and wRf = 116.7%, respectively. What would the total volatility of your portfolio have been (report your answer rounded to the nearest 3 decimals -- eg., 83.65% --> 0.837, 83.63% --> 0.836)

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