Advanced Statistics: Seven Sentinels ES Pro
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 | 1.175 | ||||
| SD | 0.892 | ||||
| Sharpe ratio (Glass type estimate) | 1.317 | ||||
| Sharpe ratio (Hedges UMVUE) | 1.277 | ||||
| df | 25.000 | ||||
| t | 1.939 | ||||
| p | 0.032 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.075 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.685 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -0.101 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 2.655 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 2.585 | ||||
| Upside Potential Ratio | 4.053 | ||||
| Upside part of mean | 1.843 | ||||
| Downside part of mean | -0.668 | ||||
| Upside SD | 0.821 | ||||
| Downside SD | 0.455 | ||||
| N nonnegative terms | 17.000 | ||||
| N negative terms | 9.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 26.000 | ||||
| Mean of predictor | 0.085 | ||||
| Mean of criterion | 1.175 | ||||
| SD of predictor | 0.127 | ||||
| SD of criterion | 0.892 | ||||
| Covariance | -0.043 | ||||
| r | -0.378 | ||||
| b (slope, estimate of beta) | -2.660 | ||||
| a (intercept, estimate of alpha) | 1.403 | ||||
| Mean Square Error | 0.711 | ||||
| DF error | 24.000 | ||||
| t(b) | -2.001 | ||||
| p(b) | 0.972 | ||||
| t(a) | 2.402 | ||||
| p(a) | 0.012 | ||||
| Lowerbound of 95% confidence interval for beta | -5.403 | ||||
| Upperbound of 95% confidence interval for beta | 0.084 | ||||
| Lowerbound of 95% confidence interval for alpha | 0.197 | ||||
| Upperbound of 95% confidence interval for alpha | 2.608 | ||||
| Treynor index (mean / b) | -0.442 | ||||
| Jensen alpha (a) | 1.403 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.772 | ||||
| SD | 0.872 | ||||
| Sharpe ratio (Glass type estimate) | 0.886 | ||||
| Sharpe ratio (Hedges UMVUE) | 0.859 | ||||
| df | 25.000 | ||||
| t | 1.304 | ||||
| p | 0.102 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.476 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.231 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -0.494 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 2.212 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 1.374 | ||||
| Upside Potential Ratio | 2.801 | ||||
| Upside part of mean | 1.574 | ||||
| Downside part of mean | -0.802 | ||||
| Upside SD | 0.682 | ||||
| Downside SD | 0.562 | ||||
| N nonnegative terms | 17.000 | ||||
| N negative terms | 9.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 26.000 | ||||
| Mean of predictor | 0.077 | ||||
| Mean of criterion | 0.772 | ||||
| SD of predictor | 0.127 | ||||
| SD of criterion | 0.872 | ||||
| Covariance | -0.042 | ||||
| r | -0.383 | ||||
| b (slope, estimate of beta) | -2.636 | ||||
| a (intercept, estimate of alpha) | 0.976 | ||||
| Mean Square Error | 0.676 | ||||
| DF error | 24.000 | ||||
| t(b) | -2.032 | ||||
| p(b) | 0.973 | ||||
| t(a) | 1.720 | ||||
| p(a) | 0.049 | ||||
| Lowerbound of 95% confidence interval for beta | -5.314 | ||||
| Upperbound of 95% confidence interval for beta | 0.042 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.195 | ||||
| Upperbound of 95% confidence interval for alpha | 2.147 | ||||
| Treynor index (mean / b) | -0.293 | ||||
| Jensen alpha (a) | 0.976 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.295 | ||||
| Expected Shortfall on VaR | 0.363 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.098 | ||||
| Expected Shortfall on VaR | 0.216 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 26.000 | ||||
| Minimum | 0.565 | ||||
| Quartile 1 | 0.986 | ||||
| Median | 1.068 | ||||
| Quartile 3 | 1.256 | ||||
| Maximum | 1.622 | ||||
| Mean of quarter 1 | 0.798 | ||||
| Mean of quarter 2 | 1.026 | ||||
| Mean of quarter 3 | 1.173 | ||||
| Mean of quarter 4 | 1.409 | ||||
| Inter Quartile Range | 0.270 | ||||
| Number outliers low | 1.000 | ||||
| Percentage of outliers low | 0.038 | ||||
| Mean of outliers low | 0.565 | ||||
| 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) | 0.038 | ||||
| VaR(95%) (moments method) | 0.085 | ||||
| Expected Shortfall (moments method) | 0.131 | ||||
| Extreme Value Index (regression method) | -0.196 | ||||
| VaR(95%) (regression method) | 0.278 | ||||
| Expected Shortfall (regression method) | 0.390 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 6.000 | ||||
| Minimum | 0.044 | ||||
| Quartile 1 | 0.138 | ||||
| Median | 0.241 | ||||
| Quartile 3 | 0.324 | ||||
| Maximum | 0.435 | ||||
| Mean of quarter 1 | 0.081 | ||||
| Mean of quarter 2 | 0.197 | ||||
| Mean of quarter 3 | 0.285 | ||||
| Mean of quarter 4 | 0.386 | ||||
| Inter Quartile Range | 0.187 | ||||
| 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) | 2.245 | ||||
| Compounded annual return (geometric extrapolation) | 1.262 | ||||
| Calmar ratio (compounded annual return / max draw down) | 2.904 | ||||
| Compounded annual return / average of 25% largest draw downs | 3.270 | ||||
| Compounded annual return / Expected Shortfall lognormal | 3.480 | ||||
| ANALYSIS BASED ON DAILY VALUES, FULL HISTORY (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 1.429 | ||||
| SD | 1.265 | ||||
| Sharpe ratio (Glass type estimate) | 1.129 | ||||
| Sharpe ratio (Hedges UMVUE) | 1.128 | ||||
| df | 745.000 | ||||
| t | 1.663 | ||||
| p | 0.048 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.203 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.461 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -0.204 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 2.460 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 2.352 | ||||
| Upside Potential Ratio | 8.783 | ||||
| Upside part of mean | 5.337 | ||||
| Downside part of mean | -3.908 | ||||
| Upside SD | 1.112 | ||||
| Downside SD | 0.608 | ||||
| N nonnegative terms | 332.000 | ||||
| N negative terms | 414.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 746.000 | ||||
| Mean of predictor | 0.093 | ||||
| Mean of criterion | 1.429 | ||||
| SD of predictor | 0.182 | ||||
| SD of criterion | 1.265 | ||||
| Covariance | -0.020 | ||||
| r | -0.086 | ||||
| b (slope, estimate of beta) | -0.596 | ||||
| a (intercept, estimate of alpha) | 1.485 | ||||
| Mean Square Error | 1.591 | ||||
| DF error | 744.000 | ||||
| t(b) | -2.351 | ||||
| p(b) | 0.991 | ||||
| t(a) | 1.733 | ||||
| p(a) | 0.042 | ||||
| Lowerbound of 95% confidence interval for beta | -1.094 | ||||
| Upperbound of 95% confidence interval for beta | -0.098 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.198 | ||||
| Upperbound of 95% confidence interval for alpha | 3.167 | ||||
| Treynor index (mean / b) | -2.398 | ||||
| Jensen alpha (a) | 1.485 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.772 | ||||
| SD | 1.115 | ||||
| Sharpe ratio (Glass type estimate) | 0.692 | ||||
| Sharpe ratio (Hedges UMVUE) | 0.691 | ||||
| df | 745.000 | ||||
| t | 1.019 | ||||
| p | 0.154 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.639 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.023 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -0.640 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 2.023 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 1.073 | ||||
| Upside Potential Ratio | 6.823 | ||||
| Upside part of mean | 4.908 | ||||
| Downside part of mean | -4.137 | ||||
| Upside SD | 0.852 | ||||
| Downside SD | 0.719 | ||||
| N nonnegative terms | 332.000 | ||||
| N negative terms | 414.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 746.000 | ||||
| Mean of predictor | 0.077 | ||||
| Mean of criterion | 0.772 | ||||
| SD of predictor | 0.183 | ||||
| SD of criterion | 1.115 | ||||
| Covariance | -0.020 | ||||
| r | -0.097 | ||||
| b (slope, estimate of beta) | -0.589 | ||||
| a (intercept, estimate of alpha) | 0.817 | ||||
| Mean Square Error | 1.233 | ||||
| DF error | 744.000 | ||||
| t(b) | -2.647 | ||||
| p(b) | 0.996 | ||||
| t(a) | 1.083 | ||||
| p(a) | 0.140 | ||||
| Lowerbound of 95% confidence interval for beta | -1.026 | ||||
| Upperbound of 95% confidence interval for beta | -0.152 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.664 | ||||
| Upperbound of 95% confidence interval for alpha | 2.298 | ||||
| Treynor index (mean / b) | -1.310 | ||||
| Jensen alpha (a) | 0.817 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.092 | ||||
| Expected Shortfall on VaR | 0.114 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.027 | ||||
| Expected Shortfall on VaR | 0.059 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 746.000 | ||||
| Minimum | 0.483 | ||||
| Quartile 1 | 0.992 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.013 | ||||
| Maximum | 2.224 | ||||
| Mean of quarter 1 | 0.956 | ||||
| Mean of quarter 2 | 0.998 | ||||
| Mean of quarter 3 | 1.004 | ||||
| Mean of quarter 4 | 1.058 | ||||
| Inter Quartile Range | 0.021 | ||||
| Number outliers low | 77.000 | ||||
| Percentage of outliers low | 0.103 | ||||
| Mean of outliers low | 0.922 | ||||
| Number of outliers high | 66.000 | ||||
| Percentage of outliers high | 0.088 | ||||
| Mean of outliers high | 1.116 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | 0.438 | ||||
| VaR(95%) (moments method) | 0.033 | ||||
| Expected Shortfall (moments method) | 0.072 | ||||
| Extreme Value Index (regression method) | 0.230 | ||||
| VaR(95%) (regression method) | 0.036 | ||||
| Expected Shortfall (regression method) | 0.063 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 28.000 | ||||
| Minimum | 0.003 | ||||
| Quartile 1 | 0.010 | ||||
| Median | 0.059 | ||||
| Quartile 3 | 0.147 | ||||
| Maximum | 0.676 | ||||
| Mean of quarter 1 | 0.005 | ||||
| Mean of quarter 2 | 0.022 | ||||
| Mean of quarter 3 | 0.099 | ||||
| Mean of quarter 4 | 0.390 | ||||
| Inter Quartile Range | 0.137 | ||||
| Number outliers low | 0.000 | ||||
| Percentage of outliers low | 0.000 | ||||
| Mean of outliers low | NA | ||||
| Number of outliers high | 4.000 | ||||
| Percentage of outliers high | 0.143 | ||||
| Mean of outliers high | 0.506 | ||||
| Risk estimates based on draw downs (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | -1.304 | ||||
| VaR(95%) (moments method) | 0.396 | ||||
| Expected Shortfall (moments method) | 0.418 | ||||
| Extreme Value Index (regression method) | -0.474 | ||||
| VaR(95%) (regression method) | 0.555 | ||||
| Expected Shortfall (regression method) | 0.663 | ||||
| COMBINED STATISTICS | |||||
| Annualized return (arithmetic extrapolation) | 2.243 | ||||
| Compounded annual return (geometric extrapolation) | 1.261 | ||||
| Calmar ratio (compounded annual return / max draw down) | 1.866 | ||||
| Compounded annual return / average of 25% largest draw downs | 3.232 | ||||
| Compounded annual return / Expected Shortfall lognormal | 11.019 | ||||
| ANALYSIS BASED ON DAILY VALUES, LAST 6 MONTHS (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 1.257 | ||||
| SD | 1.126 | ||||
| Sharpe ratio (Glass type estimate) | 1.117 | ||||
| Sharpe ratio (Hedges UMVUE) | 1.112 | ||||
| df | 171.000 | ||||
| t | 0.789 | ||||
| p | 0.462 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.659 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 3.889 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -1.663 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 3.886 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 2.874 | ||||
| Upside Potential Ratio | 9.731 | ||||
| Upside part of mean | 4.255 | ||||
| Downside part of mean | -2.999 | ||||
| Upside SD | 1.036 | ||||
| Downside SD | 0.437 | ||||
| N nonnegative terms | 47.000 | ||||
| N negative terms | 125.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 172.000 | ||||
| Mean of predictor | 0.340 | ||||
| Mean of criterion | 1.257 | ||||
| SD of predictor | 0.119 | ||||
| SD of criterion | 1.126 | ||||
| Covariance | -0.001 | ||||
| r | -0.008 | ||||
| b (slope, estimate of beta) | -0.077 | ||||
| a (intercept, estimate of alpha) | 1.283 | ||||
| Mean Square Error | 1.275 | ||||
| DF error | 170.000 | ||||
| t(b) | -0.106 | ||||
| p(b) | 0.504 | ||||
| t(a) | 0.794 | ||||
| p(a) | 0.470 | ||||
| Lowerbound of 95% confidence interval for beta | -1.507 | ||||
| Upperbound of 95% confidence interval for beta | 1.353 | ||||
| Lowerbound of 95% confidence interval for alpha | -1.906 | ||||
| Upperbound of 95% confidence interval for alpha | 4.472 | ||||
| Treynor index (mean / b) | -16.334 | ||||
| Jensen alpha (a) | 1.283 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.741 | ||||
| SD | 0.971 | ||||
| Sharpe ratio (Glass type estimate) | 0.763 | ||||
| Sharpe ratio (Hedges UMVUE) | 0.760 | ||||
| df | 171.000 | ||||
| t | 0.539 | ||||
| p | 0.474 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.011 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 3.535 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -2.013 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 3.533 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 1.617 | ||||
| Upside Potential Ratio | 8.381 | ||||
| Upside part of mean | 3.841 | ||||
| Downside part of mean | -3.100 | ||||
| Upside SD | 0.854 | ||||
| Downside SD | 0.458 | ||||
| N nonnegative terms | 47.000 | ||||
| N negative terms | 125.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 172.000 | ||||
| Mean of predictor | 0.333 | ||||
| Mean of criterion | 0.741 | ||||
| SD of predictor | 0.119 | ||||
| SD of criterion | 0.971 | ||||
| Covariance | -0.002 | ||||
| r | -0.018 | ||||
| b (slope, estimate of beta) | -0.148 | ||||
| a (intercept, estimate of alpha) | 0.790 | ||||
| Mean Square Error | 0.949 | ||||
| DF error | 170.000 | ||||
| t(b) | -0.237 | ||||
| p(b) | 0.509 | ||||
| t(a) | 0.567 | ||||
| p(a) | 0.478 | ||||
| Lowerbound of 95% confidence interval for beta | -1.384 | ||||
| Upperbound of 95% confidence interval for beta | 1.088 | ||||
| Lowerbound of 95% confidence interval for alpha | -1.960 | ||||
| Upperbound of 95% confidence interval for alpha | 3.541 | ||||
| Treynor index (mean / b) | -5.002 | ||||
| Jensen alpha (a) | 0.790 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.081 | ||||
| Expected Shortfall on VaR | 0.100 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.025 | ||||
| Expected Shortfall on VaR | 0.052 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 172.000 | ||||
| Minimum | 0.858 | ||||
| Quartile 1 | 0.997 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.002 | ||||
| Maximum | 1.599 | ||||
| Mean of quarter 1 | 0.966 | ||||
| Mean of quarter 2 | 1.000 | ||||
| Mean of quarter 3 | 1.000 | ||||
| Mean of quarter 4 | 1.050 | ||||
| Inter Quartile Range | 0.005 | ||||
| Number outliers low | 32.000 | ||||
| Percentage of outliers low | 0.186 | ||||
| Mean of outliers low | 0.956 | ||||
| Number of outliers high | 31.000 | ||||
| Percentage of outliers high | 0.180 | ||||
| Mean of outliers high | 1.067 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | 0.588 | ||||
| VaR(95%) (moments method) | 0.020 | ||||
| Expected Shortfall (moments method) | 0.059 | ||||
| Extreme Value Index (regression method) | 0.284 | ||||
| VaR(95%) (regression method) | 0.029 | ||||
| Expected Shortfall (regression method) | 0.057 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 8.000 | ||||
| Minimum | 0.014 | ||||
| Quartile 1 | 0.044 | ||||
| Median | 0.069 | ||||
| Quartile 3 | 0.121 | ||||
| Maximum | 0.393 | ||||
| Mean of quarter 1 | 0.026 | ||||
| Mean of quarter 2 | 0.052 | ||||
| Mean of quarter 3 | 0.097 | ||||
| Mean of quarter 4 | 0.267 | ||||
| Inter Quartile Range | 0.077 | ||||
| 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 | 0.125 | ||||
| Mean of outliers high | 0.393 | ||||
| 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) | 0.962 | ||||
| Compounded annual return (geometric extrapolation) | 1.193 | ||||
| Calmar ratio (compounded annual return / max draw down) | 3.031 | ||||
| Compounded annual return / average of 25% largest draw downs | 4.468 | ||||
| Compounded annual return / Expected Shortfall lognormal | 11.891 | ||||


