Expected Return and Risk Weight of IBM Weight of MSFT Portfolio Return Portfolio Variance Portfolio ST. DEV. 0 100 2.34950 36.63544 6.05272 10 90 2.20015

Weight of IBM	Weight of MSFT	Portfolio Return	Portfolio Variance	Portfolio ST. DEV.
0	100	2.34950	36.63544	6.05272
10	90	2.20015	30.78242	5.54819
20	80	2.05081	25.97442	5.09651
30	70	1.90147	22.21144	4.71290
40	60	1.75212	19.49348	4.41514
50	50	1.60278	17.82054	4.22144
60	40	1.45343	17.19263	4.14640
70	30	1.30409	17.60973	4.19640
80	20	1.15475	19.07186	4.36713
90	10	1.00540	21.57900	4.64532
100	0	0.85606	25.13117	5.01310
Other information that may be helpful or needed.	IBM	MSFT
AVERAGE	0.00856	0.02349
STDEV.S	0.05013	0.06053
VAR.S	0.00251	0.00366
Covariance between Stock 1 & 2	0.00048
Correlation between Stock 1 & 2	0.15680

1.

If I performed these formulas correctly, then I need help moving forward from here. - See Below

My question is, how do I continue from here? Below is what I have completed so far, but I think I am wrong.

W1 = (0.06053)^2 (0.15680) x (0.05013) x (0.06053) / (0.05013)^2 +(0.06053)^2 - 2 x (0.15680) x (0.05013) x (0.06053)

W1 = 0.00366 0.00048 / 0.00251 + 0.00366 0.00095

W1 = 0.00318 / 0.00522

W1 = 0.60912

W2 = (1-0.60912)

W2 = 0.39088

- Which specific combination would deliver the least amount of risk? Use the formula for the minimum variance portfolio (show your work by hand) to get the exact weights, calculate its return, standard deviation, and Sharpe ratio (show your work by hand), and mark it by hand on your plot printout.

Above are the weights, but I feel like I have done this wrong. Please help!