Advanced Statistics: Dux II
Advanced Statistics module contributed by Jules Ellis, C2 Member. Jules has written a very helpful guide for these statistics. | |||||
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| ANALYSIS BASED ON MONTHLY VALUES, FULL HISTORY (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.086 | ||||
| SD | 0.122 | ||||
| Sharpe ratio (Glass type estimate) | 0.702 | ||||
| Sharpe ratio (Hedges UMVUE) | 0.675 | ||||
| df | 20.000 | ||||
| t | 0.928 | ||||
| p | 0.398 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.804 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.190 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -0.821 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 2.171 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 1.429 | ||||
| Upside Potential Ratio | 3.374 | ||||
| Upside part of mean | 0.202 | ||||
| Downside part of mean | -0.117 | ||||
| Upside SD | 0.106 | ||||
| Downside SD | 0.060 | ||||
| N nonnegative terms | 12.000 | ||||
| N negative terms | 9.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 21.000 | ||||
| Mean of predictor | 0.135 | ||||
| Mean of criterion | 0.086 | ||||
| SD of predictor | 0.121 | ||||
| SD of criterion | 0.122 | ||||
| Covariance | -0.001 | ||||
| r | -0.055 | ||||
| b (slope, estimate of beta) | -0.055 | ||||
| a (intercept, estimate of alpha) | 0.093 | ||||
| Mean Square Error | 0.016 | ||||
| DF error | 19.000 | ||||
| t(b) | -0.239 | ||||
| p(b) | 0.535 | ||||
| t(a) | 0.935 | ||||
| p(a) | 0.367 | ||||
| Lowerbound of 95% confidence interval for beta | -0.540 | ||||
| Upperbound of 95% confidence interval for beta | 0.429 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.115 | ||||
| Upperbound of 95% confidence interval for alpha | 0.302 | ||||
| Treynor index (mean / b) | -1.547 | ||||
| Jensen alpha (a) | 0.093 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.078 | ||||
| SD | 0.119 | ||||
| Sharpe ratio (Glass type estimate) | 0.655 | ||||
| Sharpe ratio (Hedges UMVUE) | 0.630 | ||||
| df | 20.000 | ||||
| t | 0.867 | ||||
| p | 0.405 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.848 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.143 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -0.864 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 2.125 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 1.287 | ||||
| Upside Potential Ratio | 3.229 | ||||
| Upside part of mean | 0.196 | ||||
| Downside part of mean | -0.118 | ||||
| Upside SD | 0.102 | ||||
| Downside SD | 0.061 | ||||
| N nonnegative terms | 12.000 | ||||
| N negative terms | 9.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 21.000 | ||||
| Mean of predictor | 0.127 | ||||
| Mean of criterion | 0.078 | ||||
| SD of predictor | 0.119 | ||||
| SD of criterion | 0.119 | ||||
| Covariance | -0.001 | ||||
| r | -0.055 | ||||
| b (slope, estimate of beta) | -0.055 | ||||
| a (intercept, estimate of alpha) | 0.085 | ||||
| Mean Square Error | 0.015 | ||||
| DF error | 19.000 | ||||
| t(b) | -0.239 | ||||
| p(b) | 0.535 | ||||
| t(a) | 0.879 | ||||
| p(a) | 0.375 | ||||
| Lowerbound of 95% confidence interval for beta | -0.535 | ||||
| Upperbound of 95% confidence interval for beta | 0.426 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.118 | ||||
| Upperbound of 95% confidence interval for alpha | 0.288 | ||||
| Treynor index (mean / b) | -1.429 | ||||
| Jensen alpha (a) | 0.085 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.049 | ||||
| Expected Shortfall on VaR | 0.062 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.021 | ||||
| Expected Shortfall on VaR | 0.038 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 21.000 | ||||
| Minimum | 0.967 | ||||
| Quartile 1 | 0.991 | ||||
| Median | 1.010 | ||||
| Quartile 3 | 1.019 | ||||
| Maximum | 1.099 | ||||
| Mean of quarter 1 | 0.973 | ||||
| Mean of quarter 2 | 1.002 | ||||
| Mean of quarter 3 | 1.016 | ||||
| Mean of quarter 4 | 1.060 | ||||
| Inter Quartile Range | 0.028 | ||||
| Number outliers low | 0.000 | ||||
| Percentage of outliers low | 0.000 | ||||
| Mean of outliers low | NA | ||||
| Number of outliers high | 3.000 | ||||
| Percentage of outliers high | 0.143 | ||||
| Mean of outliers high | 1.076 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | -174.188 | ||||
| VaR(95%) (moments method) | 0.020 | ||||
| Expected Shortfall (moments method) | NA | ||||
| Extreme Value Index (regression method) | -2.598 | ||||
| VaR(95%) (regression method) | 0.026 | ||||
| Expected Shortfall (regression method) | 0.026 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 3.000 | ||||
| Minimum | 0.009 | ||||
| Quartile 1 | 0.018 | ||||
| Median | 0.028 | ||||
| Quartile 3 | 0.066 | ||||
| Maximum | 0.105 | ||||
| Mean of quarter 1 | 0.009 | ||||
| Mean of quarter 2 | 0.028 | ||||
| Mean of quarter 3 | NA | ||||
| Mean of quarter 4 | 0.105 | ||||
| Inter Quartile Range | 0.048 | ||||
| Number outliers low | 0.000 | ||||
| Percentage of outliers low | 0.000 | ||||
| Mean of outliers low | NA | ||||
| Number of outliers high | 0.000 | ||||
| Percentage of outliers high | 0.000 | ||||
| Mean of outliers high | NA | ||||
| Risk estimates based on draw downs (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | NA | ||||
| VaR(95%) (moments method) | NA | ||||
| Expected Shortfall (moments method) | NA | ||||
| Extreme Value Index (regression method) | NA | ||||
| VaR(95%) (regression method) | NA | ||||
| Expected Shortfall (regression method) | NA | ||||
| COMBINED STATISTICS | |||||
| Annualized return (arithmetic extrapolation) | 0.136 | ||||
| Compounded annual return (geometric extrapolation) | 0.130 | ||||
| Calmar ratio (compounded annual return / max draw down) | 1.243 | ||||
| Compounded annual return / average of 25% largest draw downs | 1.243 | ||||
| Compounded annual return / Expected Shortfall lognormal | 2.082 | ||||
| ANALYSIS BASED ON DAILY VALUES, FULL HISTORY (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.089 | ||||
| SD | 0.108 | ||||
| Sharpe ratio (Glass type estimate) | 0.830 | ||||
| Sharpe ratio (Hedges UMVUE) | 0.829 | ||||
| df | 619.000 | ||||
| t | 1.114 | ||||
| p | 0.133 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.631 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.290 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -0.632 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 2.290 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 1.313 | ||||
| Upside Potential Ratio | 9.586 | ||||
| Upside part of mean | 0.652 | ||||
| Downside part of mean | -0.562 | ||||
| Upside SD | 0.083 | ||||
| Downside SD | 0.068 | ||||
| N nonnegative terms | 248.000 | ||||
| N negative terms | 372.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 620.000 | ||||
| Mean of predictor | 0.165 | ||||
| Mean of criterion | 0.089 | ||||
| SD of predictor | 0.165 | ||||
| SD of criterion | 0.108 | ||||
| Covariance | 0.000 | ||||
| r | 0.000 | ||||
| b (slope, estimate of beta) | 0.000 | ||||
| a (intercept, estimate of alpha) | 0.089 | ||||
| Mean Square Error | 0.012 | ||||
| DF error | 618.000 | ||||
| t(b) | 0.011 | ||||
| p(b) | 0.496 | ||||
| t(a) | 1.111 | ||||
| p(a) | 0.133 | ||||
| Lowerbound of 95% confidence interval for beta | -0.051 | ||||
| Upperbound of 95% confidence interval for beta | 0.052 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.068 | ||||
| Upperbound of 95% confidence interval for alpha | 0.247 | ||||
| Treynor index (mean / b) | 315.609 | ||||
| Jensen alpha (a) | 0.089 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.083 | ||||
| SD | 0.107 | ||||
| Sharpe ratio (Glass type estimate) | 0.778 | ||||
| Sharpe ratio (Hedges UMVUE) | 0.777 | ||||
| df | 619.000 | ||||
| t | 1.044 | ||||
| p | 0.148 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.683 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.238 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -0.684 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 2.238 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 1.220 | ||||
| Upside Potential Ratio | 9.473 | ||||
| Upside part of mean | 0.648 | ||||
| Downside part of mean | -0.565 | ||||
| Upside SD | 0.083 | ||||
| Downside SD | 0.068 | ||||
| N nonnegative terms | 248.000 | ||||
| N negative terms | 372.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 620.000 | ||||
| Mean of predictor | 0.151 | ||||
| Mean of criterion | 0.083 | ||||
| SD of predictor | 0.165 | ||||
| SD of criterion | 0.107 | ||||
| Covariance | 0.000 | ||||
| r | 0.000 | ||||
| b (slope, estimate of beta) | 0.000 | ||||
| a (intercept, estimate of alpha) | 0.083 | ||||
| Mean Square Error | 0.012 | ||||
| DF error | 618.000 | ||||
| t(b) | 0.011 | ||||
| p(b) | 0.496 | ||||
| t(a) | 1.042 | ||||
| p(a) | 0.149 | ||||
| Lowerbound of 95% confidence interval for beta | -0.051 | ||||
| Upperbound of 95% confidence interval for beta | 0.052 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.074 | ||||
| Upperbound of 95% confidence interval for alpha | 0.241 | ||||
| Treynor index (mean / b) | 290.111 | ||||
| Jensen alpha (a) | 0.083 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.009 | ||||
| Expected Shortfall on VaR | 0.012 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.004 | ||||
| Expected Shortfall on VaR | 0.008 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 620.000 | ||||
| Minimum | 0.973 | ||||
| Quartile 1 | 0.998 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.002 | ||||
| Maximum | 1.031 | ||||
| Mean of quarter 1 | 0.994 | ||||
| Mean of quarter 2 | 1.000 | ||||
| Mean of quarter 3 | 1.001 | ||||
| Mean of quarter 4 | 1.007 | ||||
| Inter Quartile Range | 0.004 | ||||
| Number outliers low | 36.000 | ||||
| Percentage of outliers low | 0.058 | ||||
| Mean of outliers low | 0.988 | ||||
| Number of outliers high | 48.000 | ||||
| Percentage of outliers high | 0.077 | ||||
| Mean of outliers high | 1.014 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | 0.242 | ||||
| VaR(95%) (moments method) | 0.005 | ||||
| Expected Shortfall (moments method) | 0.009 | ||||
| Extreme Value Index (regression method) | 0.045 | ||||
| VaR(95%) (regression method) | 0.006 | ||||
| Expected Shortfall (regression method) | 0.008 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 26.000 | ||||
| Minimum | 0.001 | ||||
| Quartile 1 | 0.002 | ||||
| Median | 0.008 | ||||
| Quartile 3 | 0.015 | ||||
| Maximum | 0.120 | ||||
| Mean of quarter 1 | 0.001 | ||||
| Mean of quarter 2 | 0.005 | ||||
| Mean of quarter 3 | 0.011 | ||||
| Mean of quarter 4 | 0.056 | ||||
| Inter Quartile Range | 0.013 | ||||
| Number outliers low | 0.000 | ||||
| Percentage of outliers low | 0.000 | ||||
| Mean of outliers low | NA | ||||
| Number of outliers high | 5.000 | ||||
| Percentage of outliers high | 0.192 | ||||
| Mean of outliers high | 0.071 | ||||
| Risk estimates based on draw downs (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | -0.614 | ||||
| VaR(95%) (moments method) | 0.046 | ||||
| Expected Shortfall (moments method) | 0.053 | ||||
| Extreme Value Index (regression method) | -0.128 | ||||
| VaR(95%) (regression method) | 0.083 | ||||
| Expected Shortfall (regression method) | 0.116 | ||||
| COMBINED STATISTICS | |||||
| Annualized return (arithmetic extrapolation) | 0.143 | ||||
| Compounded annual return (geometric extrapolation) | 0.136 | ||||
| Calmar ratio (compounded annual return / max draw down) | 1.137 | ||||
| Compounded annual return / average of 25% largest draw downs | 2.424 | ||||
| Compounded annual return / Expected Shortfall lognormal | 11.701 | ||||
| ANALYSIS BASED ON DAILY VALUES, LAST 6 MONTHS (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.129 | ||||
| SD | 0.064 | ||||
| Sharpe ratio (Glass type estimate) | -1.996 | ||||
| Sharpe ratio (Hedges UMVUE) | -1.988 | ||||
| df | 171.000 | ||||
| t | -1.412 | ||||
| p | 0.568 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -4.773 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.786 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -4.767 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 0.792 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -2.528 | ||||
| Upside Potential Ratio | 6.039 | ||||
| Upside part of mean | 0.307 | ||||
| Downside part of mean | -0.436 | ||||
| Upside SD | 0.040 | ||||
| Downside SD | 0.051 | ||||
| N nonnegative terms | 64.000 | ||||
| N negative terms | 108.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 172.000 | ||||
| Mean of predictor | 0.377 | ||||
| Mean of criterion | -0.129 | ||||
| SD of predictor | 0.115 | ||||
| SD of criterion | 0.064 | ||||
| Covariance | 0.001 | ||||
| r | 0.080 | ||||
| b (slope, estimate of beta) | 0.045 | ||||
| a (intercept, estimate of alpha) | -0.145 | ||||
| Mean Square Error | 0.004 | ||||
| DF error | 170.000 | ||||
| t(b) | 1.042 | ||||
| p(b) | 0.460 | ||||
| t(a) | -1.572 | ||||
| p(a) | 0.560 | ||||
| Lowerbound of 95% confidence interval for beta | -0.040 | ||||
| Upperbound of 95% confidence interval for beta | 0.129 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.328 | ||||
| Upperbound of 95% confidence interval for alpha | 0.037 | ||||
| Treynor index (mean / b) | -2.888 | ||||
| Jensen alpha (a) | -0.145 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.131 | ||||
| SD | 0.065 | ||||
| Sharpe ratio (Glass type estimate) | -2.026 | ||||
| Sharpe ratio (Hedges UMVUE) | -2.017 | ||||
| df | 171.000 | ||||
| t | -1.433 | ||||
| p | 0.569 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -4.804 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.757 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -4.797 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 0.763 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -2.558 | ||||
| Upside Potential Ratio | 5.996 | ||||
| Upside part of mean | 0.307 | ||||
| Downside part of mean | -0.437 | ||||
| Upside SD | 0.040 | ||||
| Downside SD | 0.051 | ||||
| N nonnegative terms | 64.000 | ||||
| N negative terms | 108.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 172.000 | ||||
| Mean of predictor | 0.370 | ||||
| Mean of criterion | -0.131 | ||||
| SD of predictor | 0.115 | ||||
| SD of criterion | 0.065 | ||||
| Covariance | 0.001 | ||||
| r | 0.080 | ||||
| b (slope, estimate of beta) | 0.045 | ||||
| a (intercept, estimate of alpha) | -0.147 | ||||
| Mean Square Error | 0.004 | ||||
| DF error | 170.000 | ||||
| t(b) | 1.047 | ||||
| p(b) | 0.460 | ||||
| t(a) | -1.592 | ||||
| p(a) | 0.561 | ||||
| Lowerbound of 95% confidence interval for beta | -0.040 | ||||
| Upperbound of 95% confidence interval for beta | 0.129 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.330 | ||||
| Upperbound of 95% confidence interval for alpha | 0.035 | ||||
| Treynor index (mean / b) | -2.913 | ||||
| Jensen alpha (a) | -0.147 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.006 | ||||
| Expected Shortfall on VaR | 0.008 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.003 | ||||
| Expected Shortfall on VaR | 0.007 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 172.000 | ||||
| Minimum | 0.985 | ||||
| Quartile 1 | 0.999 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.001 | ||||
| Maximum | 1.012 | ||||
| Mean of quarter 1 | 0.996 | ||||
| Mean of quarter 2 | 1.000 | ||||
| Mean of quarter 3 | 1.000 | ||||
| Mean of quarter 4 | 1.004 | ||||
| Inter Quartile Range | 0.002 | ||||
| Number outliers low | 12.000 | ||||
| Percentage of outliers low | 0.070 | ||||
| Mean of outliers low | 0.992 | ||||
| Number of outliers high | 10.000 | ||||
| Percentage of outliers high | 0.058 | ||||
| Mean of outliers high | 1.008 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | 0.163 | ||||
| VaR(95%) (moments method) | 0.004 | ||||
| Expected Shortfall (moments method) | 0.006 | ||||
| Extreme Value Index (regression method) | -0.106 | ||||
| VaR(95%) (regression method) | 0.004 | ||||
| Expected Shortfall (regression method) | 0.005 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 5.000 | ||||
| Minimum | 0.000 | ||||
| Quartile 1 | 0.002 | ||||
| Median | 0.003 | ||||
| Quartile 3 | 0.034 | ||||
| Maximum | 0.088 | ||||
| Mean of quarter 1 | 0.001 | ||||
| Mean of quarter 2 | 0.003 | ||||
| Mean of quarter 3 | 0.034 | ||||
| Mean of quarter 4 | 0.088 | ||||
| Inter Quartile Range | 0.032 | ||||
| Number outliers low | 0.000 | ||||
| Percentage of outliers low | 0.000 | ||||
| Mean of outliers low | NA | ||||
| Number of outliers high | 1.000 | ||||
| Percentage of outliers high | 0.200 | ||||
| Mean of outliers high | 0.088 | ||||
| Risk estimates based on draw downs (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | NA | ||||
| VaR(95%) (moments method) | NA | ||||
| Expected Shortfall (moments method) | NA | ||||
| Extreme Value Index (regression method) | NA | ||||
| VaR(95%) (regression method) | NA | ||||
| Expected Shortfall (regression method) | NA | ||||
| COMBINED STATISTICS | |||||
| Annualized return (arithmetic extrapolation) | -0.085 | ||||
| Compounded annual return (geometric extrapolation) | -0.083 | ||||
| Calmar ratio (compounded annual return / max draw down) | -0.941 | ||||
| Compounded annual return / average of 25% largest draw downs | -0.941 | ||||
| Compounded annual return / Expected Shortfall lognormal | -11.038 | ||||


