Question: In this problem, you are going to work with some real-world data. File contains historical returns of three mutual funds from Morningstar Direct. For your

In this problem, you are going to work with some real-world data. File contains historical returns of three mutual funds from Morningstar Direct. For your convenience, I included data on the Fama-French research factors in the same file.

DFUSX Large-Cap Investment style

LADYX Small-Cap Growth Investment style

VSGIX Small-Cap Growth Investment style

- Estimate the Fama-French 3-factor model for the funds. Note: dont forget to use excess returns (not returns) on the left-hand side of you regression.

The Fama-French 3 factor model can be written as:

ri rf = i,F F 3 + i,mkt(rmkt rf ) + i,smbrsmb + i,hmlrhml + i

-Report the Fama-French 3-factor alphas, their t-stats, and all the Fama-French 3 factor

betas (i,mkt, i,smb, i,hml).

-Are the estimated Fama-French 3 factor alphas statistically significantly different?

from zero?

- What do the estimated betas (i,mkt, i,smb, i,hml) tell you about funds loadings on the SMB and HML factors? Is this consistent with the funds styles as described in the investment menu?

date mkt -rf smb hml mom rf DFUSX LADYX VSGIX
200101 3.13 6.57 -4.9 -25.06 0.54 3.485 4.72727 0.18232
200102 -10.05 -0.74 12.9 12.51 0.38 -9.0739 -13.1944 -8.46224
200103 -7.26 0.34 6.45 8.35 0.42 -6.42395 -9.06667 -5.16899
200104 7.94 0.52 -4.69 -7.97 0.39 7.81938 8.57771 9.85325
200105 0.72 2.6 3.14 2.12 0.32 0.61287 3.91627 1.24046
200106 -1.94 6.05 -1.06 0.35 0.28 -2.46576 2.92398 3.39303
200107 -2.13 -4.35 5.58 5.47 0.3 -0.93946 -5.68182 -2.46126
200108 -6.46 2.49 2.5 5.54 0.31 -6.32244 -2.81124 -2.99065
200109 -9.25 -6.13 1.6 11.53 0.28 -8.03446 -15.5647 -12.7168
200110 2.46 7.63 -8.1 -8.41 0.22 1.84049 8.646 6.18102
200111 7.54 -0.41 2 -8.58 0.17 7.71084 7.43243 6.54886
200112 1.61 4.57 1.1 -0.02 0.15 0.83246 7.75681 6.3388
200201 -1.44 1.19 3.33 3.69 0.14 -1.44766 -3.17769 -0.092
200202 -2.29 -1.1 2.5 6.76 0.13 -1.9209 -3.14802 -3.13076
200203 4.24 4.23 1.11 -1.67 0.13 3.68335 6.77732 7.03422
200204 -5.2 5.94 3.93 7.96 0.15 -6.12472 -1.61917 1.50977
200205 -1.38 -3.21 1.69 2.97 0.14 -0.71174 -4.2133 -4.54943
200206 -7.21 4.26 0.13 6.15 0.13 -7.10909 -6.39175 -5.95784
200207 -8.18 -5.3 -3.41 3.34 0.15 -7.74194 -17.0338 -11.8908
200208 0.5 -2.44 2.49 1.77 0.14 0.55944 -0.26549 1.99115
200209 -10.35 2.57 1.31 9.09 0.14 -10.802 -7.80834 -4.98915
200210 7.84 -2.9 -5.46 -5.3 0.14 8.76369 2.98364 4.3379
200211 5.96 2.84 -1.15 -16.17 0.12 5.89928 8.8785 5.03282
200212 -5.76 0 2.25 9.65 0.11 -5.96955 -6.35193 -4.05208
200301 -2.57 1.39 -0.93 1.62 0.1 -2.61628 -3.48304 -2.72628
200302 -1.88 -0.34 -1.46 1.25 0.09 -1.49254 -2.5641 -2.69058
200303 1.09 0.89 -2.09 1.61 0.1 0.92443 2.92398 1.84332
200304 8.22 0.57 1.03 -9.46 0.1 8.28313 8.14394 7.1267
200305 6.05 4.7 -0.3 -10.77 0.09 5.28512 9.10683 8.55333
200306 1.42 1.67 0.66 -1.06 0.1 1.30432 2.9695 2.23735
200307 2.35 5.25 -1.15 -0.31 0.07 1.70157 6.93687 6.27973
200308 2.34 2.6 2.03 -0.56 0.07 1.9305 5.46647 6.17726
200309 -1.24 0.79 0.02 -0.19 0.08 -1.134 -2.62612 -2.61383

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