Advanced Statistics: bmrtrading
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 | -0.690 | ||||
| SD | 0.823 | ||||
| Sharpe ratio (Glass type estimate) | -0.838 | ||||
| Sharpe ratio (Hedges UMVUE) | -0.757 | ||||
| df | 8.000 | ||||
| t | -0.726 | ||||
| p | 0.756 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -3.112 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.486 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -3.050 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.537 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -0.904 | ||||
| Upside Potential Ratio | 0.639 | ||||
| Upside part of mean | 0.487 | ||||
| Downside part of mean | -1.177 | ||||
| Upside SD | 0.245 | ||||
| Downside SD | 0.762 | ||||
| N nonnegative terms | 4.000 | ||||
| N negative terms | 5.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 9.000 | ||||
| Mean of predictor | 0.060 | ||||
| Mean of criterion | -0.690 | ||||
| SD of predictor | 0.098 | ||||
| SD of criterion | 0.823 | ||||
| Covariance | 0.002 | ||||
| r | 0.027 | ||||
| b (slope, estimate of beta) | 0.231 | ||||
| a (intercept, estimate of alpha) | -0.703 | ||||
| Mean Square Error | 0.773 | ||||
| DF error | 7.000 | ||||
| t(b) | 0.072 | ||||
| p(b) | 0.472 | ||||
| t(a) | -0.681 | ||||
| p(a) | 0.741 | ||||
| Lowerbound of 95% confidence interval for beta | -7.303 | ||||
| Upperbound of 95% confidence interval for beta | 7.765 | ||||
| Lowerbound of 95% confidence interval for alpha | -3.146 | ||||
| Upperbound of 95% confidence interval for alpha | 1.739 | ||||
| Treynor index (mean / b) | -2.991 | ||||
| Jensen alpha (a) | -0.703 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -1.233 | ||||
| SD | 1.220 | ||||
| Sharpe ratio (Glass type estimate) | -1.010 | ||||
| Sharpe ratio (Hedges UMVUE) | -0.912 | ||||
| df | 8.000 | ||||
| t | -0.875 | ||||
| p | 0.796 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -3.296 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.334 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -3.219 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.395 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -1.043 | ||||
| Upside Potential Ratio | 0.388 | ||||
| Upside part of mean | 0.458 | ||||
| Downside part of mean | -1.691 | ||||
| Upside SD | 0.228 | ||||
| Downside SD | 1.183 | ||||
| N nonnegative terms | 4.000 | ||||
| N negative terms | 5.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 9.000 | ||||
| Mean of predictor | 0.055 | ||||
| Mean of criterion | -1.233 | ||||
| SD of predictor | 0.097 | ||||
| SD of criterion | 1.220 | ||||
| Covariance | 0.016 | ||||
| r | 0.137 | ||||
| b (slope, estimate of beta) | 1.727 | ||||
| a (intercept, estimate of alpha) | -1.328 | ||||
| Mean Square Error | 1.670 | ||||
| DF error | 7.000 | ||||
| t(b) | 0.366 | ||||
| p(b) | 0.363 | ||||
| t(a) | -0.877 | ||||
| p(a) | 0.795 | ||||
| Lowerbound of 95% confidence interval for beta | -9.431 | ||||
| Upperbound of 95% confidence interval for beta | 12.885 | ||||
| Lowerbound of 95% confidence interval for alpha | -4.910 | ||||
| Upperbound of 95% confidence interval for alpha | 2.254 | ||||
| Treynor index (mean / b) | -0.714 | ||||
| Jensen alpha (a) | -1.328 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.495 | ||||
| Expected Shortfall on VaR | 0.560 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.240 | ||||
| Expected Shortfall on VaR | 0.482 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 9.000 | ||||
| Minimum | 0.367 | ||||
| Quartile 1 | 0.943 | ||||
| Median | 0.995 | ||||
| Quartile 3 | 1.070 | ||||
| Maximum | 1.177 | ||||
| Mean of quarter 1 | 0.717 | ||||
| Mean of quarter 2 | 0.993 | ||||
| Mean of quarter 3 | 1.050 | ||||
| Mean of quarter 4 | 1.140 | ||||
| Inter Quartile Range | 0.127 | ||||
| Number outliers low | 1.000 | ||||
| Percentage of outliers low | 0.111 | ||||
| Mean of outliers low | 0.367 | ||||
| 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) | -0.845 | ||||
| VaR(95%) (moments method) | 0.211 | ||||
| Expected Shortfall (moments method) | 0.239 | ||||
| Extreme Value Index (regression method) | 1.226 | ||||
| VaR(95%) (regression method) | 0.862 | ||||
| Expected Shortfall (regression method) | NA | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 2.000 | ||||
| Minimum | 0.015 | ||||
| Quartile 1 | 0.188 | ||||
| Median | 0.362 | ||||
| Quartile 3 | 0.536 | ||||
| Maximum | 0.709 | ||||
| Mean of quarter 1 | 0.015 | ||||
| Mean of quarter 2 | NA | ||||
| Mean of quarter 3 | NA | ||||
| Mean of quarter 4 | 0.709 | ||||
| Inter Quartile Range | 0.347 | ||||
| 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) | -0.787 | ||||
| Compounded annual return (geometric extrapolation) | -0.695 | ||||
| Calmar ratio (compounded annual return / max draw down) | -0.981 | ||||
| Compounded annual return / average of 25% largest draw downs | -0.981 | ||||
| Compounded annual return / Expected Shortfall lognormal | -1.241 | ||||
| ANALYSIS BASED ON DAILY VALUES, FULL HISTORY (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.785 | ||||
| SD | 0.804 | ||||
| Sharpe ratio (Glass type estimate) | -0.976 | ||||
| Sharpe ratio (Hedges UMVUE) | -0.974 | ||||
| df | 280.000 | ||||
| t | -0.882 | ||||
| p | 0.811 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -3.145 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.195 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -3.144 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.197 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -1.190 | ||||
| Upside Potential Ratio | 3.845 | ||||
| Upside part of mean | 2.536 | ||||
| Downside part of mean | -3.321 | ||||
| Upside SD | 0.459 | ||||
| Downside SD | 0.659 | ||||
| N nonnegative terms | 105.000 | ||||
| N negative terms | 176.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 281.000 | ||||
| Mean of predictor | 0.251 | ||||
| Mean of criterion | -0.785 | ||||
| SD of predictor | 0.146 | ||||
| SD of criterion | 0.804 | ||||
| Covariance | -0.009 | ||||
| r | -0.078 | ||||
| b (slope, estimate of beta) | -0.428 | ||||
| a (intercept, estimate of alpha) | -0.677 | ||||
| Mean Square Error | 0.645 | ||||
| DF error | 279.000 | ||||
| t(b) | -1.303 | ||||
| p(b) | 0.903 | ||||
| t(a) | -0.759 | ||||
| p(a) | 0.776 | ||||
| Lowerbound of 95% confidence interval for beta | -1.075 | ||||
| Upperbound of 95% confidence interval for beta | 0.219 | ||||
| Lowerbound of 95% confidence interval for alpha | -2.434 | ||||
| Upperbound of 95% confidence interval for alpha | 1.079 | ||||
| Treynor index (mean / b) | 1.833 | ||||
| Jensen alpha (a) | -0.677 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -1.136 | ||||
| SD | 0.857 | ||||
| Sharpe ratio (Glass type estimate) | -1.325 | ||||
| Sharpe ratio (Hedges UMVUE) | -1.321 | ||||
| df | 280.000 | ||||
| t | -1.197 | ||||
| p | 0.884 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -3.495 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.848 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -3.493 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 0.850 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -1.532 | ||||
| Upside Potential Ratio | 3.289 | ||||
| Upside part of mean | 2.439 | ||||
| Downside part of mean | -3.574 | ||||
| Upside SD | 0.431 | ||||
| Downside SD | 0.741 | ||||
| N nonnegative terms | 105.000 | ||||
| N negative terms | 176.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 281.000 | ||||
| Mean of predictor | 0.240 | ||||
| Mean of criterion | -1.136 | ||||
| SD of predictor | 0.146 | ||||
| SD of criterion | 0.857 | ||||
| Covariance | -0.009 | ||||
| r | -0.076 | ||||
| b (slope, estimate of beta) | -0.444 | ||||
| a (intercept, estimate of alpha) | -1.029 | ||||
| Mean Square Error | 0.733 | ||||
| DF error | 279.000 | ||||
| t(b) | -1.265 | ||||
| p(b) | 0.897 | ||||
| t(a) | -1.082 | ||||
| p(a) | 0.860 | ||||
| Lowerbound of 95% confidence interval for beta | -1.135 | ||||
| Upperbound of 95% confidence interval for beta | 0.247 | ||||
| Lowerbound of 95% confidence interval for alpha | -2.901 | ||||
| Upperbound of 95% confidence interval for alpha | 0.843 | ||||
| Treynor index (mean / b) | 2.558 | ||||
| Jensen alpha (a) | -1.029 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.076 | ||||
| Expected Shortfall on VaR | 0.094 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.025 | ||||
| Expected Shortfall on VaR | 0.056 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 281.000 | ||||
| Minimum | 0.692 | ||||
| Quartile 1 | 0.999 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.003 | ||||
| Maximum | 1.221 | ||||
| Mean of quarter 1 | 0.962 | ||||
| Mean of quarter 2 | 1.000 | ||||
| Mean of quarter 3 | 1.001 | ||||
| Mean of quarter 4 | 1.029 | ||||
| Inter Quartile Range | 0.004 | ||||
| Number outliers low | 46.000 | ||||
| Percentage of outliers low | 0.164 | ||||
| Mean of outliers low | 0.943 | ||||
| Number of outliers high | 40.000 | ||||
| Percentage of outliers high | 0.142 | ||||
| Mean of outliers high | 1.046 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | 1.645 | ||||
| VaR(95%) (moments method) | 0.021 | ||||
| Expected Shortfall (moments method) | NA | ||||
| Extreme Value Index (regression method) | 0.875 | ||||
| VaR(95%) (regression method) | 0.022 | ||||
| Expected Shortfall (regression method) | 0.218 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 20.000 | ||||
| Minimum | 0.000 | ||||
| Quartile 1 | 0.002 | ||||
| Median | 0.007 | ||||
| Quartile 3 | 0.048 | ||||
| Maximum | 0.720 | ||||
| Mean of quarter 1 | 0.001 | ||||
| Mean of quarter 2 | 0.003 | ||||
| Mean of quarter 3 | 0.018 | ||||
| Mean of quarter 4 | 0.256 | ||||
| Inter Quartile Range | 0.046 | ||||
| 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 | 0.150 | ||||
| Mean of outliers high | 0.365 | ||||
| Risk estimates based on draw downs (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | 0.452 | ||||
| VaR(95%) (moments method) | 0.237 | ||||
| Expected Shortfall (moments method) | 0.521 | ||||
| Extreme Value Index (regression method) | 1.006 | ||||
| VaR(95%) (regression method) | 0.378 | ||||
| Expected Shortfall (regression method) | NA | ||||
| COMBINED STATISTICS | |||||
| Annualized return (arithmetic extrapolation) | -0.722 | ||||
| Compounded annual return (geometric extrapolation) | -0.664 | ||||
| Calmar ratio (compounded annual return / max draw down) | -0.923 | ||||
| Compounded annual return / average of 25% largest draw downs | -2.597 | ||||
| Compounded annual return / Expected Shortfall lognormal | -7.084 | ||||
| ANALYSIS BASED ON DAILY VALUES, LAST 6 MONTHS (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -1.800 | ||||
| SD | 0.879 | ||||
| Sharpe ratio (Glass type estimate) | -2.046 | ||||
| Sharpe ratio (Hedges UMVUE) | -2.037 | ||||
| df | 171.000 | ||||
| t | -1.447 | ||||
| p | 0.570 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -4.824 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.737 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -4.818 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 0.743 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -2.311 | ||||
| Upside Potential Ratio | 3.004 | ||||
| Upside part of mean | 2.340 | ||||
| Downside part of mean | -4.139 | ||||
| Upside SD | 0.414 | ||||
| Downside SD | 0.779 | ||||
| N nonnegative terms | 60.000 | ||||
| N negative terms | 112.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 172.000 | ||||
| Mean of predictor | 0.364 | ||||
| Mean of criterion | -1.800 | ||||
| SD of predictor | 0.165 | ||||
| SD of criterion | 0.879 | ||||
| Covariance | -0.010 | ||||
| r | -0.068 | ||||
| b (slope, estimate of beta) | -0.360 | ||||
| a (intercept, estimate of alpha) | -1.669 | ||||
| Mean Square Error | 0.774 | ||||
| DF error | 170.000 | ||||
| t(b) | -0.883 | ||||
| p(b) | 0.534 | ||||
| t(a) | -1.332 | ||||
| p(a) | 0.551 | ||||
| Lowerbound of 95% confidence interval for beta | -1.163 | ||||
| Upperbound of 95% confidence interval for beta | 0.444 | ||||
| Lowerbound of 95% confidence interval for alpha | -4.143 | ||||
| Upperbound of 95% confidence interval for alpha | 0.805 | ||||
| Treynor index (mean / b) | 5.005 | ||||
| Jensen alpha (a) | -1.669 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -2.237 | ||||
| SD | 0.960 | ||||
| Sharpe ratio (Glass type estimate) | -2.329 | ||||
| Sharpe ratio (Hedges UMVUE) | -2.319 | ||||
| df | 171.000 | ||||
| t | -1.647 | ||||
| p | 0.579 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -5.108 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.457 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -5.101 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 0.464 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -2.538 | ||||
| Upside Potential Ratio | 2.563 | ||||
| Upside part of mean | 2.259 | ||||
| Downside part of mean | -4.496 | ||||
| Upside SD | 0.393 | ||||
| Downside SD | 0.881 | ||||
| N nonnegative terms | 60.000 | ||||
| N negative terms | 112.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 172.000 | ||||
| Mean of predictor | 0.350 | ||||
| Mean of criterion | -2.237 | ||||
| SD of predictor | 0.165 | ||||
| SD of criterion | 0.960 | ||||
| Covariance | -0.011 | ||||
| r | -0.068 | ||||
| b (slope, estimate of beta) | -0.393 | ||||
| a (intercept, estimate of alpha) | -2.099 | ||||
| Mean Square Error | 0.924 | ||||
| DF error | 170.000 | ||||
| t(b) | -0.883 | ||||
| p(b) | 0.534 | ||||
| t(a) | -1.534 | ||||
| p(a) | 0.558 | ||||
| Lowerbound of 95% confidence interval for beta | -1.273 | ||||
| Upperbound of 95% confidence interval for beta | 0.486 | ||||
| Lowerbound of 95% confidence interval for alpha | -4.800 | ||||
| Upperbound of 95% confidence interval for alpha | 0.602 | ||||
| Treynor index (mean / b) | 5.684 | ||||
| Jensen alpha (a) | -2.099 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.088 | ||||
| Expected Shortfall on VaR | 0.107 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.032 | ||||
| Expected Shortfall on VaR | 0.071 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 172.000 | ||||
| Minimum | 0.692 | ||||
| Quartile 1 | 1.000 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.003 | ||||
| Maximum | 1.160 | ||||
| Mean of quarter 1 | 0.952 | ||||
| Mean of quarter 2 | 1.000 | ||||
| Mean of quarter 3 | 1.001 | ||||
| Mean of quarter 4 | 1.027 | ||||
| Inter Quartile Range | 0.003 | ||||
| Number outliers low | 31.000 | ||||
| Percentage of outliers low | 0.180 | ||||
| Mean of outliers low | 0.934 | ||||
| Number of outliers high | 29.000 | ||||
| Percentage of outliers high | 0.169 | ||||
| Mean of outliers high | 1.037 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | 1.168 | ||||
| VaR(95%) (moments method) | 0.009 | ||||
| Expected Shortfall (moments method) | NA | ||||
| Extreme Value Index (regression method) | 0.754 | ||||
| VaR(95%) (regression method) | 0.032 | ||||
| Expected Shortfall (regression method) | 0.178 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 8.000 | ||||
| Minimum | 0.001 | ||||
| Quartile 1 | 0.002 | ||||
| Median | 0.002 | ||||
| Quartile 3 | 0.023 | ||||
| Maximum | 0.720 | ||||
| Mean of quarter 1 | 0.001 | ||||
| Mean of quarter 2 | 0.002 | ||||
| Mean of quarter 3 | 0.010 | ||||
| Mean of quarter 4 | 0.379 | ||||
| Inter Quartile Range | 0.022 | ||||
| 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 | 0.720 | ||||
| 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) | -1.332 | ||||
| Compounded annual return (geometric extrapolation) | -0.888 | ||||
| Calmar ratio (compounded annual return / max draw down) | -1.234 | ||||
| Compounded annual return / average of 25% largest draw downs | -2.346 | ||||
| Compounded annual return / Expected Shortfall lognormal | -8.305 | ||||


