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Please use R studio. The Data Set is Given Below: 0.0130338 -0.0078431 -0.0031889 -0.0447693 0.0052151 0.0084862 0.0166886 -0.00621 0.011956 0.013489 -0.0179153 -0.0086393 0.010036 0 -0.0061428
Please use R studio. The Data Set is Given Below: 0.0130338 -0.0078431 -0.0031889 -0.0447693 0.0052151 0.0084862 0.0166886 -0.00621 0.011956 0.013489 -0.0179153 -0.0086393 0.010036 0 -0.0061428 0.0215589 -0.0034858 0.0174353 -0.0285917 -0.0069534 0.0108225 0.0037167 -0.0101345 0.02919 0.0409751 0.0101713 -0.0121978 -0.0083768 0.0137083 0.0029895 0.0111288 0.0280044 0.0080721 0.0305433 0.003229 0.0484801 -0.005148 0.0182495 0.0063348 0.0076752 -0.0344914 -0.0137991 -0.0080468 -0.0299011 -0.0108108 -0.0046596 0.0209882 -0.0060841 -0.020394 -0.0126677 -0.0018205 -0.0055675 -0.0107587 -0.0089898 -0.0183648 0.0148515 0.0346684 -0.0060004 0.0362855 0.0287032 -0.0092426 -0.0052029 0.0047161 0.0264916 0.0129547 -0.0458668 -0.0278243 -0.0142696 0.0374776 0.0332022 -0.0244432 -0.0182914 0.0059048 -0.0259572 -0.0202333 -0.0183742 -0.0140289 0.0011361 0.0073284 -0.0097182 -0.0297788 -0.0284571 -0.0164555 0.0310847 0.0164377 -0.022508 -0.0228833 0.0344231 -0.0062006 0.0067584 0.0119617 -0.0067916 0.0185908 -0.0193632 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0.0027938 -0.0072632 0.0075927 0 -0.0049431 0.0186314 0.0301434 -0.0019947 0.0261219 -0.030709 -0.0208547 -0.0071023 -0.0430824 -0.0177872 -0.0518714 0.0230447 -0.0128755 -0.0109074 -0.0066456 0.0167076 -0.012628 0.0028986 0.0030502 -0.0073591 0.0443048 -0.011234 -0.0265896 -0.0002339 -0.0033698 0.0615551 0.0561091 0.006829 0.0124006 0.0076078 -0.0419997 -0.0365773 -0.025951 -0.0240351 -0.0303691 -0.0209345 -0.0068717 0.013624 0.0182335 0.008652 0.056864 0.0387476 0.020908 0.0165116 0.0089209 -0.0230172 0.041632 0.0049737 0.01876 0.0023805 0.0123049 0.0078337 -0.0262009 -0.0044914 -0.0166243 -0.0096353 0.0020622 -0.0041854 0.0060907 -0.0067276 0.013471 -0.0045908 0.0090063 -0.0022422 0 -0.0429774 -0.0620229 0.0053555 -0.0083146 0.0069469 -0.0188272 -0.0161072 0.0307783 -0.0160888 0.0031045 -0.0539478 -0.0556609 0.0373241 0.0359281 0.0252751 0.0581879 0.0169708 0.0238029 0.0031125 -0.0068757 0.0122545 0.0281715 0.0256826 0.0525266 0.0406957 -0.0316623 -0.0188482 -0.0060622 0.0086334 0.0058413 0.0445584 0.0305941 0.0217449 0.0229645 0.0291983 0.0084395 0.0319296 0.003374 -0.0153061 -0.0238245 -0.0016738 -0.017227 0.0033626 0.0029016 -0.0030507 -0.0012193 -0.0097005 0.0170147 0.0095061 0.0181994 -0.0161758 -0.0075614 0.0103929 -0.0026612 0.004429 -0.0024818 -0.0164502 -0.0127948 -0.0143678 -0.0187402 -0.0049759 -0.0163732= 2. Conduct a factor analysis on the stock-price data. The data set consists of n = 103 weekly rates of return on p= 5 stocks (JPM, Citi, WellsF, Shell, Exxon). (a) (5 marks) Obtain the factor loading with m = 1 (only one common factor) before and after rotation. Compare the results given by the principal component solution and maximum likelihood solution. (b) (2 marks) Repeat part (a) with two common factors, m= 2. (c) (3 marks) Determine the most proper number of common factors. Report the rotated loading of the factors, communalities, specific variances, and the proportion of variance explained by each factor. (d) (2 marks) Is the result reasonable? = 2. Conduct a factor analysis on the stock-price data. The data set consists of n = 103 weekly rates of return on p= 5 stocks (JPM, Citi, WellsF, Shell, Exxon). (a) (5 marks) Obtain the factor loading with m = 1 (only one common factor) before and after rotation. Compare the results given by the principal component solution and maximum likelihood solution. (b) (2 marks) Repeat part (a) with two common factors, m= 2. (c) (3 marks) Determine the most proper number of common factors. Report the rotated loading of the factors, communalities, specific variances, and the proportion of variance explained by each factor. (d) (2 marks) Is the result reasonable
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