Question
Hi, My study is based on markowitz optimization (mean variance model). My aim is to minimize the risk in an average income I have set.
Hi,
My study is based on markowitz optimization (mean variance model). My aim is to minimize the risk in an average income I have set. I found 1-year returns and variances from the monthly earnings of 30 company shares. I have specified Max and min (excel on page 4). I created 30 to 30 covariance matrix. Target function consists of covariance and share weights. One of the constraints is that all weights are equal to 1. The other constraint consists of weights and stock returns (equal to a value between max and min return). The problem is that the excel solver does not find the weights correctly.
Thank you
EREG 00365 0003i -0024 -0,0364 2 0,0154 0,15 -0,073 00588 -0.0513 00183 0,0712 -0,0023 -0,0596 -0,1057 0.0341 -0.0037 02567 -0.0192 -0.05 -0.0024 -0,017 0.0838 -0.0 -0,035 -00153 00016 00236 -0.0825 00069 00143 0020 -0.0393 -0.0437 -0.2675 0 -0.1149 -0.0039 -0.017 0.0419 00088 -0.0049 0075 -0.0064 0.0039 0.0529 002 0.0194 -0,067 -0.0262 -0.05 0,013 -0,008 0.0019 -0,0274 0,012 0,0119 -0,0428 -0,0046 0,0133 00775 -0,0403 0.0126 -01831 0.0685 -0,0263 -0,0008 -0,0064 0,0029 00833 -0,0419 -0,02 -0,0166 -0.0601 -0,0551 -0.0087 -00261 -0.0991 -0,0275 0.1135 0002 -0,0059 -0.0081 0,0533 -0,0278 0.008 -0,038 -0,0589 0.0006 -0,0157 -0.0547 -0.0538 +0.05 -0,0135 -0,0298 0,0561 0,0574 -0,1705 01507 -0.0508 -002 0,151 0,0544 01041 -0.0796 -0,016 0,113 0,1859 0.02 00354 00664 01757 0.0934 00107 0.0963 -0.1083 0,1536 0041 0,1248 0.0882 00594 0.0978 0426 0.0765 0.013 .0.0793 0.0604 -0,0613 -0,0399 0.0553 .00738 .0.0318 -0,0784 0.0675 .00414 -0.0334 -0,132 -0.0562 -0.0837 -0,0433 -0,069 -0.0163 -0,0796 -0.0547 -0.0345 -0.0085 -003 -0,086 -0.08 -0.0589 -0.0915 -0.03 -0.0097 -0. -0,14 9 -0,09 -0.0693 -0.140 -0,1367 -0,0P66 -0, -0,0261 -0,0627 -0.1243 -0.1153 -0084 -0.1309 -0,0361 -0.0253 -0,1683 0.0243 -0,0089 -0.0239 -0,025 00612 00306 -0,0444 -0.0419 00147 -0.0226 -0,0455 -0.0376 0.0237 -0,0146 -0.0736 -0.0901 -0,1149 -0.0726 -0.069 -0.1429 -001 0.0277 -0.00 0.0948 -0,0354 0,1015 -0,0304 -0,0192 0,0177 -0,0464 -0,0219 -0.0548 -0,0585 -0.0579 0,007 0,1656 -0,1479 -0.0015 -0,0015 -0.0237 -0.0075 -0,056 0,0469 0,0003 -0,01 0034 -0.0055 -0.0538 -0.06 -0.0879 10 .0.0626 0013 0,0736 00188 0.0163 00375 0.0793 -0,0754 0,0287 0,0058 -0,0271 0,0452 -0.054 0,0208 00868 0,0803 -0,0548 -0,1063 00326 00499 -005 10.0798 -0.0974 10.0752 -0,0355 0,0073 -0,0209 0.0852 -0037 -0,1183 -0,0439 -0,103 -0.0133 0703 -0.0169 0020 0937 -0,0761 .00542 0,0316 -0,0828 0.0411 -0012 0.0319 -0.1248 0.0406 -0,0766 -0.0508 00058 -0,163 -0.0078 00324 -0.137 -0.0326 -00396 12 -0.082 -0018 -0.0319 000 -0,0306 0,0089 -0,0264 0026 -0,0125 00046 00063 0011 0,054 649 0599 0,005 0,0009 -0,0108 0014 -0,0144 0,025 0 001 00027 0 -0.003 -0.0115 0.0084 -0.008 0,0107 -0014. 0,011 0,0147 -0,0157 0,0259 0.001 0.0028 0 -0.0045 -001. 0,0086 -0,009 0,0108 -0,015 17 BIM 00154 0,0888. 0,013 -0.0069 00456 -0.0163 -0.090 -0.0626 -0.0 -0.0822 -0.0055 -0,0251 0,1556 -0,0522 -0,008 -0.0081 0,1859 -0,0756 -0,1149 -0.0052. 0,0132 -0,1183 -0,0182 -0,0113Step by Step Solution
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