provides the comparison of the sectoral returns of BSE with Market return BSE. at the same time checks out the volatility and its transmission to market returns
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Sector Return Vs Market Return
1. Study Of Variance Of Sectoral Indices Return And Market Index Return Presented by: Venkata Vijay P
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7. Model 1 (10 indices) Information and Health indice are excluded in step regression process Model R R Square Adjusted R Square Std. Error of the Estimate Durbin-Watson dimension0 8 .993 h .986 .985 .0048194 2.191 Model Unstandardized Coefficients Standardized Coefficients t Sig. Collinearity Statistics B Std. Error Beta Tolerance VIF 8 (Constant) .000 .000 -1.573 .117 OilGas .234 .012 .274 20.083 .000 .293 3.417 Bankex .190 .009 .267 19.981 .000 .306 3.270 Teck .271 .013 .260 21.010 .000 .356 2.812 CapitalGoods .143 .012 .187 12.454 .000 .242 4.135 FMCG .093 .012 .078 8.084 .000 .582 1.719 Metal .047 .009 .075 5.043 .000 .245 4.078 Consumer -.036 .009 -.049 -4.119 .000 .381 2.627 Auto .045 .013 .048 3.455 .001 .285 3.504
8. Model 2 (10 indices) Information and Health index are excluded in step regression process Model R R Square Adjusted R Square Std. Error of the Estimate Durbin-Watson dimension0 8 .993 h .986 .985 .0048092 2.178 Model Unstandardized Coefficients Standardized Coefficients t Sig. Collinearity Statistics B Std. Error Beta Tolerance VIF 8 (Constant) .000 .000 -.662 .509 LnCapitalGoods .148 .012 .191 12.656 .000 .236 4.246 LnOilGas .230 .012 .269 19.648 .000 .288 3.476 LnTeck .269 .013 .259 20.900 .000 .352 2.840 LnBankex .192 .009 .269 20.187 .000 .305 3.284 LnFMCG .095 .012 .079 8.177 .000 .574 1.742 LnMetal .044 .009 .071 4.755 .000 .242 4.130 LnConsumer -.037 .009 -.050 -4.159 .000 .372 2.685 LnAuto .047 .013 .050 3.621 .000 .288 3.472
9. Model 3 (12 indices) Auto, Information, power and realty indices are excluded in step regression process Model R R Square Adjusted R Square Std. Error of the Estimate Durbin-Watson dimension0 8 .995 h .991 .990 .0049564 2.311 Model Unstandardized Coefficients Standardized Coefficients t Sig. Collinearity Statistics B Std. Error Beta Tolerance VIF 8 (Constant) .000 .000 -.945 .347 Bankex .199 .014 .278 14.400 .000 .227 4.414 OilGas .258 .016 .304 16.361 .000 .244 4.104 Teck .261 .016 .248 15.897 .000 .347 2.879 CapitalGoods .152 .018 .191 8.531 .000 .168 5.963 FMCG .110 .018 .078 6.236 .000 .533 1.876 Metal .064 .013 .104 4.783 .000 .178 5.617 HealthCare -.063 .021 -.045 -3.035 .003 .392 2.551 Consumer -.033 .014 -.043 -2.399 .018 .266 3.753
10. Individual Index returns S.No: Industry Index R Square Standardized Coefficient of Variable Durbin Watson test Value 1 Auto 70.10% 0.838 2.016 2 OilGas 78.50% 0.886 2.236 3 CapitalGoods 78.20% 0.884 2.219 4 Teck 73.40% 0.857 1.985 5 Infotech 46.70% 0.683 1.898 6 HealthCare 50.30% 0.711 2.156 7 FMCG 42.20% 0.649 2.121 8 Bankex 77.90% 0.883 1.964 9 Metal 75.00% 0.866 2.438 10 Consumer 54.60% 0.739 2.254
11. ARIMA (10 indices) Differenced first order auto regressive model analysis of sectoral index returns w.r.t market index return Model 1 Statistics ARIMA (0,1,0) Model Number of Predictors Model Fit statistics Ljung-Box Q(18) Number of Outliers Stationary R-squared R-squared Statistics DF Sig. BSE-Model_1 10 .533 .046 36.102 18 .007 0 Model Statistics ARIMA (1,1,0) Model Number of Predictors Model Fit statistics Ljung-Box Q(18) Number of Outliers Stationary R-squared R-squared Statistics DF Sig. BSE-Model_1 10 .557 .094 19.860 17 .281 0
12. ARIMA (12 indices) Differenced first order auto regressive model analysis of sectoral index returns w.r.t market index return Model Statistics ARIMA (0,1,0) Model Number of Predictors Model Fit statistics Ljung-Box Q(18) Number of Outliers Stationary R-squared R-squared Statistics DF Sig. BSE-Model_1 12 .567 .099 37.942 18 .004 0 Model Statistics ARIMA (1,1,0) Model Number of Predictors Model Fit statistics Ljung-Box Q(18) Number of Outliers Stationary R-squared R-squared Statistics DF Sig. BSE-Model_1 12 .617 .203 24.106 17 .117 0