Advanced Statistics: ES Bomber
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 | -1.371 | ||||
| SD | 0.220 | ||||
| Sharpe ratio (Glass type estimate) | -6.234 | ||||
| Sharpe ratio (Hedges UMVUE) | -3.517 | ||||
| df | 2.000 | ||||
| t | -3.117 | ||||
| p | 0.955 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -12.980 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.712 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -8.737 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.703 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -3.155 | ||||
| Upside Potential Ratio | 0.000 | ||||
| Upside part of mean | 0.000 | ||||
| Downside part of mean | -1.371 | ||||
| Upside SD | 0.000 | ||||
| Downside SD | 0.434 | ||||
| N nonnegative terms | 0.000 | ||||
| N negative terms | 3.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 3.000 | ||||
| Mean of predictor | 0.440 | ||||
| Mean of criterion | -1.371 | ||||
| SD of predictor | 0.108 | ||||
| SD of criterion | 0.220 | ||||
| Covariance | -0.001 | ||||
| r | -0.034 | ||||
| b (slope, estimate of beta) | -0.070 | ||||
| a (intercept, estimate of alpha) | -1.340 | ||||
| Mean Square Error | 0.097 | ||||
| DF error | 1.000 | ||||
| t(b) | -0.034 | ||||
| p(b) | 0.511 | ||||
| t(a) | -1.225 | ||||
| p(a) | 0.782 | ||||
| Lowerbound of 95% confidence interval for beta | -26.040 | ||||
| Upperbound of 95% confidence interval for beta | 25.901 | ||||
| Lowerbound of 95% confidence interval for alpha | -15.240 | ||||
| Upperbound of 95% confidence interval for alpha | 12.560 | ||||
| Treynor index (mean / b) | 19.655 | ||||
| Jensen alpha (a) | -1.340 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -1.471 | ||||
| SD | 0.253 | ||||
| Sharpe ratio (Glass type estimate) | -5.824 | ||||
| Sharpe ratio (Hedges UMVUE) | -3.286 | ||||
| df | 2.000 | ||||
| t | -2.912 | ||||
| p | 0.950 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -12.255 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.849 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -8.359 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.787 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -3.116 | ||||
| Upside Potential Ratio | 0.000 | ||||
| Upside part of mean | 0.000 | ||||
| Downside part of mean | -1.471 | ||||
| Upside SD | 0.000 | ||||
| Downside SD | 0.472 | ||||
| N nonnegative terms | 0.000 | ||||
| N negative terms | 3.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 3.000 | ||||
| Mean of predictor | 0.427 | ||||
| Mean of criterion | -1.471 | ||||
| SD of predictor | 0.103 | ||||
| SD of criterion | 0.253 | ||||
| Covariance | -0.001 | ||||
| r | -0.037 | ||||
| b (slope, estimate of beta) | -0.091 | ||||
| a (intercept, estimate of alpha) | -1.432 | ||||
| Mean Square Error | 0.127 | ||||
| DF error | 1.000 | ||||
| t(b) | -0.037 | ||||
| p(b) | 0.512 | ||||
| t(a) | -1.131 | ||||
| p(a) | 0.770 | ||||
| Lowerbound of 95% confidence interval for beta | -31.157 | ||||
| Upperbound of 95% confidence interval for beta | 30.976 | ||||
| Lowerbound of 95% confidence interval for alpha | -17.513 | ||||
| Upperbound of 95% confidence interval for alpha | 14.649 | ||||
| Treynor index (mean / b) | 16.199 | ||||
| Jensen alpha (a) | -1.432 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.215 | ||||
| Expected Shortfall on VaR | 0.239 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.173 | ||||
| Expected Shortfall on VaR | 0.173 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 3.000 | ||||
| Minimum | 0.816 | ||||
| Quartile 1 | 0.868 | ||||
| Median | 0.920 | ||||
| Quartile 3 | 0.926 | ||||
| Maximum | 0.932 | ||||
| Mean of quarter 1 | 0.816 | ||||
| Mean of quarter 2 | 0.920 | ||||
| Mean of quarter 3 | NA | ||||
| Mean of quarter 4 | 0.932 | ||||
| Inter Quartile Range | 0.058 | ||||
| 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 for a one-period unit investment (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 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 1.000 | ||||
| Minimum | 0.300 | ||||
| Quartile 1 | 0.300 | ||||
| Median | 0.300 | ||||
| Quartile 3 | 0.300 | ||||
| Maximum | 0.300 | ||||
| Mean of quarter 1 | NA | ||||
| Mean of quarter 2 | NA | ||||
| Mean of quarter 3 | NA | ||||
| Mean of quarter 4 | NA | ||||
| Inter Quartile Range | 0.000 | ||||
| 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) | -1.200 | ||||
| Compounded annual return (geometric extrapolation) | -0.760 | ||||
| Calmar ratio (compounded annual return / max draw down) | -2.533 | ||||
| Compounded annual return / average of 25% largest draw downs | NA | ||||
| Compounded annual return / Expected Shortfall lognormal | -3.185 | ||||
| ANALYSIS BASED ON DAILY VALUES, FULL HISTORY (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -1.189 | ||||
| SD | 0.481 | ||||
| Sharpe ratio (Glass type estimate) | -2.475 | ||||
| Sharpe ratio (Hedges UMVUE) | -2.456 | ||||
| df | 96.000 | ||||
| t | -1.314 | ||||
| p | 0.904 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -6.176 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.239 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -6.163 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.251 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -2.903 | ||||
| Upside Potential Ratio | 4.734 | ||||
| Upside part of mean | 1.940 | ||||
| Downside part of mean | -3.129 | ||||
| Upside SD | 0.254 | ||||
| Downside SD | 0.410 | ||||
| N nonnegative terms | 32.000 | ||||
| N negative terms | 65.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 97.000 | ||||
| Mean of predictor | 0.720 | ||||
| Mean of criterion | -1.189 | ||||
| SD of predictor | 0.212 | ||||
| SD of criterion | 0.481 | ||||
| Covariance | -0.049 | ||||
| r | -0.482 | ||||
| b (slope, estimate of beta) | -1.092 | ||||
| a (intercept, estimate of alpha) | -0.404 | ||||
| Mean Square Error | 0.179 | ||||
| DF error | 95.000 | ||||
| t(b) | -5.367 | ||||
| p(b) | 1.000 | ||||
| t(a) | -0.498 | ||||
| p(a) | 0.690 | ||||
| Lowerbound of 95% confidence interval for beta | -1.496 | ||||
| Upperbound of 95% confidence interval for beta | -0.688 | ||||
| Lowerbound of 95% confidence interval for alpha | -2.012 | ||||
| Upperbound of 95% confidence interval for alpha | 1.205 | ||||
| Treynor index (mean / b) | 1.089 | ||||
| Jensen alpha (a) | -0.404 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -1.309 | ||||
| SD | 0.490 | ||||
| Sharpe ratio (Glass type estimate) | -2.670 | ||||
| Sharpe ratio (Hedges UMVUE) | -2.649 | ||||
| df | 96.000 | ||||
| t | -1.418 | ||||
| p | 0.920 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -6.373 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.047 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -6.359 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.061 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -3.079 | ||||
| Upside Potential Ratio | 4.487 | ||||
| Upside part of mean | 1.908 | ||||
| Downside part of mean | -3.217 | ||||
| Upside SD | 0.249 | ||||
| Downside SD | 0.425 | ||||
| N nonnegative terms | 32.000 | ||||
| N negative terms | 65.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 97.000 | ||||
| Mean of predictor | 0.697 | ||||
| Mean of criterion | -1.309 | ||||
| SD of predictor | 0.211 | ||||
| SD of criterion | 0.490 | ||||
| Covariance | -0.050 | ||||
| r | -0.483 | ||||
| b (slope, estimate of beta) | -1.123 | ||||
| a (intercept, estimate of alpha) | -0.526 | ||||
| Mean Square Error | 0.186 | ||||
| DF error | 95.000 | ||||
| t(b) | -5.378 | ||||
| p(b) | 1.000 | ||||
| t(a) | -0.637 | ||||
| p(a) | 0.737 | ||||
| Lowerbound of 95% confidence interval for beta | -1.538 | ||||
| Upperbound of 95% confidence interval for beta | -0.709 | ||||
| Lowerbound of 95% confidence interval for alpha | -2.165 | ||||
| Upperbound of 95% confidence interval for alpha | 1.113 | ||||
| Treynor index (mean / b) | 1.165 | ||||
| Jensen alpha (a) | -0.526 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.046 | ||||
| Expected Shortfall on VaR | 0.057 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.025 | ||||
| Expected Shortfall on VaR | 0.050 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 97.000 | ||||
| Minimum | 0.899 | ||||
| Quartile 1 | 0.994 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.003 | ||||
| Maximum | 1.057 | ||||
| Mean of quarter 1 | 0.965 | ||||
| Mean of quarter 2 | 1.000 | ||||
| Mean of quarter 3 | 1.001 | ||||
| Mean of quarter 4 | 1.022 | ||||
| Inter Quartile Range | 0.009 | ||||
| Number outliers low | 17.000 | ||||
| Percentage of outliers low | 0.175 | ||||
| Mean of outliers low | 0.955 | ||||
| Number of outliers high | 13.000 | ||||
| Percentage of outliers high | 0.134 | ||||
| Mean of outliers high | 1.034 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | -0.311 | ||||
| VaR(95%) (moments method) | 0.021 | ||||
| Expected Shortfall (moments method) | 0.027 | ||||
| Extreme Value Index (regression method) | -0.143 | ||||
| VaR(95%) (regression method) | 0.041 | ||||
| Expected Shortfall (regression method) | 0.057 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 3.000 | ||||
| Minimum | 0.005 | ||||
| Quartile 1 | 0.033 | ||||
| Median | 0.061 | ||||
| Quartile 3 | 0.198 | ||||
| Maximum | 0.334 | ||||
| Mean of quarter 1 | 0.005 | ||||
| Mean of quarter 2 | 0.061 | ||||
| Mean of quarter 3 | NA | ||||
| Mean of quarter 4 | 0.334 | ||||
| Inter Quartile Range | 0.165 | ||||
| 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) | -1.064 | ||||
| Compounded annual return (geometric extrapolation) | -0.718 | ||||
| Calmar ratio (compounded annual return / max draw down) | -2.148 | ||||
| Compounded annual return / average of 25% largest draw downs | -2.148 | ||||
| Compounded annual return / Expected Shortfall lognormal | -12.676 | ||||


