Question: 1) how to proof above as per the two factor model 2) how to proof the variance-covariance matrix 3) how to proof the variance on

 1) how to proof above as per the two factor model

1) how to proof above as per the two factor model

2) how to proof the variance-covariance matrix

3) how to proof the variance on the j th return

4) Please proof the covariance is correct

5) why we should use equation 3

The returns r;, of the assets satisfy the two-factor model r = Boi + Blifi+ B2i f2 + ei , i = 1, ...,n, (1) where Bi; and B2i are factor loadings of the risk factors fi and f2 re- spectively. Let r = (ri,...,"n)", Bo = (B01 ..., Bon)", F = (f1, f2)", e = (e1, ..., en)T, and B11 B21 Bin Bzn ... (a) Show that the two-factor model (1) can be expressed as r = Bo + 3"F +e. (2) (b) Show that the variance-covariance matrix for r is given by ,-'F + , (3) where EF and Ee are the variance-covariance matrices of F and e respectively. (c) Let B; = (B1j, B2;)" (j = 1,...,n) be the j-th column of the matrix 3. Show that the variance of the j-th return is Var(r;) = 3}Ef;+ o, . (d) Show further that Cov (ri, ri) F), . (e) Can you give a reason why one would consider estimating Er using equation (3) instead of using the sample variance-covariance matrix of r directly. The returns r;, of the assets satisfy the two-factor model r = Boi + Blifi+ B2i f2 + ei , i = 1, ...,n, (1) where Bi; and B2i are factor loadings of the risk factors fi and f2 re- spectively. Let r = (ri,...,"n)", Bo = (B01 ..., Bon)", F = (f1, f2)", e = (e1, ..., en)T, and B11 B21 Bin Bzn ... (a) Show that the two-factor model (1) can be expressed as r = Bo + 3"F +e. (2) (b) Show that the variance-covariance matrix for r is given by ,-'F + , (3) where EF and Ee are the variance-covariance matrices of F and e respectively. (c) Let B; = (B1j, B2;)" (j = 1,...,n) be the j-th column of the matrix 3. Show that the variance of the j-th return is Var(r;) = 3}Ef;+ o, . (d) Show further that Cov (ri, ri) F), . (e) Can you give a reason why one would consider estimating Er using equation (3) instead of using the sample variance-covariance matrix of r directly

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