pleas help answer questions from f onwards

(f) We can predict the excess returns of each of the industry using the mean excess return. However, anyone using any of our models would clearly do better. State the statistic that allows this conclusion and in descending order arrange the industries in order of prediction {2 marks\} (g) Given the js an excess market return of 10% would correspond to what expected returns in the various industries? {3 marks\} (h) Given the findings in 1(e) and the interpretation in 1(g), rank the industries with respect to sensitivity to the market portfolio in descending order {2 marks } (i) You suspect that the various industries are likely to have some fixed more or less excess returns than predicted by CAPM. State the new model that you would estimate to test this suspicion {2 marks } (j) Estimate the model in 1(i) above for the various industries, output these results in a word document named 'capm_2'. Remember to name each column title using the respective industry name {3 marks } (k) Given your findings in 1(j) above, state which industries obey the CAPM while providing your intuition {3 marks\} (1) Interpret the fixed more or less returns for the various industries that do not obey the CAPM {3 marks } According to Copeland (2004), the Capital Asset Pricing Model (CAPM) describes the expected returns on any asset or portfolio of assets as a function of the (expected) return on the market portfolio. That is E{rjtrf}=jE{rmtrf} Where rjt is the risky return on asset j in period t,rmt is the risky return on the market portfolio m in period t and rf is the risk free rate (rf is time invariant). You wish to test this theory empirically using the 'Capm' data in the Eodat package and an appropriate regression model. Required