Advanced Statistics: MultiTrader
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 | 0.081 | ||||
| SD | 0.117 | ||||
| Sharpe ratio (Glass type estimate) | 0.696 | ||||
| Sharpe ratio (Hedges UMVUE) | 0.674 | ||||
| df | 24.000 | ||||
| t | 1.005 | ||||
| p | 0.162 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.683 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.061 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -0.697 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 2.046 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 1.434 | ||||
| Upside Potential Ratio | 3.314 | ||||
| Upside part of mean | 0.188 | ||||
| Downside part of mean | -0.106 | ||||
| Upside SD | 0.102 | ||||
| Downside SD | 0.057 | ||||
| N nonnegative terms | 15.000 | ||||
| N negative terms | 10.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 25.000 | ||||
| Mean of predictor | 0.193 | ||||
| Mean of criterion | 0.081 | ||||
| SD of predictor | 0.176 | ||||
| SD of criterion | 0.117 | ||||
| Covariance | 0.010 | ||||
| r | 0.471 | ||||
| b (slope, estimate of beta) | 0.313 | ||||
| a (intercept, estimate of alpha) | 0.021 | ||||
| Mean Square Error | 0.011 | ||||
| DF error | 23.000 | ||||
| t(b) | 2.563 | ||||
| p(b) | 0.009 | ||||
| t(a) | 0.271 | ||||
| p(a) | 0.394 | ||||
| Lowerbound of 95% confidence interval for beta | 0.060 | ||||
| Upperbound of 95% confidence interval for beta | 0.565 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.137 | ||||
| Upperbound of 95% confidence interval for alpha | 0.179 | ||||
| Treynor index (mean / b) | 0.260 | ||||
| Jensen alpha (a) | 0.021 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.074 | ||||
| SD | 0.113 | ||||
| Sharpe ratio (Glass type estimate) | 0.659 | ||||
| Sharpe ratio (Hedges UMVUE) | 0.638 | ||||
| df | 24.000 | ||||
| t | 0.951 | ||||
| p | 0.175 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.718 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.023 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -0.732 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 2.008 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 1.296 | ||||
| Upside Potential Ratio | 3.171 | ||||
| Upside part of mean | 0.182 | ||||
| Downside part of mean | -0.108 | ||||
| Upside SD | 0.097 | ||||
| Downside SD | 0.057 | ||||
| N nonnegative terms | 15.000 | ||||
| N negative terms | 10.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 25.000 | ||||
| Mean of predictor | 0.177 | ||||
| Mean of criterion | 0.074 | ||||
| SD of predictor | 0.175 | ||||
| SD of criterion | 0.113 | ||||
| Covariance | 0.009 | ||||
| r | 0.471 | ||||
| b (slope, estimate of beta) | 0.303 | ||||
| a (intercept, estimate of alpha) | 0.021 | ||||
| Mean Square Error | 0.010 | ||||
| DF error | 23.000 | ||||
| t(b) | 2.559 | ||||
| p(b) | 0.009 | ||||
| t(a) | 0.284 | ||||
| p(a) | 0.389 | ||||
| Lowerbound of 95% confidence interval for beta | 0.058 | ||||
| Upperbound of 95% confidence interval for beta | 0.548 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.131 | ||||
| Upperbound of 95% confidence interval for alpha | 0.173 | ||||
| Treynor index (mean / b) | 0.246 | ||||
| Jensen alpha (a) | 0.021 | ||||
| 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 | 0.059 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.018 | ||||
| Expected Shortfall on VaR | 0.034 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 25.000 | ||||
| Minimum | 0.957 | ||||
| Quartile 1 | 0.989 | ||||
| Median | 1.016 | ||||
| Quartile 3 | 1.023 | ||||
| Maximum | 1.129 | ||||
| Mean of quarter 1 | 0.975 | ||||
| Mean of quarter 2 | 1.004 | ||||
| Mean of quarter 3 | 1.022 | ||||
| Mean of quarter 4 | 1.047 | ||||
| Inter Quartile Range | 0.034 | ||||
| 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 | 0.040 | ||||
| Mean of outliers high | 1.129 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | -0.678 | ||||
| VaR(95%) (moments method) | 0.026 | ||||
| Expected Shortfall (moments method) | 0.029 | ||||
| Extreme Value Index (regression method) | -0.361 | ||||
| VaR(95%) (regression method) | 0.026 | ||||
| Expected Shortfall (regression method) | 0.031 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 4.000 | ||||
| Minimum | 0.014 | ||||
| Quartile 1 | 0.015 | ||||
| Median | 0.024 | ||||
| Quartile 3 | 0.043 | ||||
| Maximum | 0.075 | ||||
| Mean of quarter 1 | 0.014 | ||||
| Mean of quarter 2 | 0.015 | ||||
| Mean of quarter 3 | 0.033 | ||||
| Mean of quarter 4 | 0.075 | ||||
| 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 | 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) | 0.134 | ||||
| Compounded annual return (geometric extrapolation) | 0.126 | ||||
| Calmar ratio (compounded annual return / max draw down) | 1.684 | ||||
| Compounded annual return / average of 25% largest draw downs | 1.684 | ||||
| Compounded annual return / Expected Shortfall lognormal | 2.126 | ||||
| ANALYSIS BASED ON DAILY VALUES, FULL HISTORY (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.075 | ||||
| SD | 0.180 | ||||
| Sharpe ratio (Glass type estimate) | 0.418 | ||||
| Sharpe ratio (Hedges UMVUE) | 0.418 | ||||
| df | 734.000 | ||||
| t | 0.612 | ||||
| p | 0.270 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.923 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.759 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -0.923 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.759 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 0.696 | ||||
| Upside Potential Ratio | 6.928 | ||||
| Upside part of mean | 0.750 | ||||
| Downside part of mean | -0.675 | ||||
| Upside SD | 0.144 | ||||
| Downside SD | 0.108 | ||||
| N nonnegative terms | 349.000 | ||||
| N negative terms | 386.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 735.000 | ||||
| Mean of predictor | 0.270 | ||||
| Mean of criterion | 0.075 | ||||
| SD of predictor | 0.231 | ||||
| SD of criterion | 0.180 | ||||
| Covariance | 0.004 | ||||
| r | 0.107 | ||||
| b (slope, estimate of beta) | 0.084 | ||||
| a (intercept, estimate of alpha) | 0.053 | ||||
| Mean Square Error | 0.032 | ||||
| DF error | 733.000 | ||||
| t(b) | 2.923 | ||||
| p(b) | 0.002 | ||||
| t(a) | 0.430 | ||||
| p(a) | 0.334 | ||||
| Lowerbound of 95% confidence interval for beta | 0.028 | ||||
| Upperbound of 95% confidence interval for beta | 0.140 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.189 | ||||
| Upperbound of 95% confidence interval for alpha | 0.294 | ||||
| Treynor index (mean / b) | 0.901 | ||||
| Jensen alpha (a) | 0.053 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.060 | ||||
| SD | 0.177 | ||||
| Sharpe ratio (Glass type estimate) | 0.336 | ||||
| Sharpe ratio (Hedges UMVUE) | 0.336 | ||||
| df | 734.000 | ||||
| t | 0.491 | ||||
| p | 0.312 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.005 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.677 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -1.005 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.677 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 0.535 | ||||
| Upside Potential Ratio | 6.653 | ||||
| Upside part of mean | 0.741 | ||||
| Downside part of mean | -0.681 | ||||
| Upside SD | 0.138 | ||||
| Downside SD | 0.111 | ||||
| N nonnegative terms | 349.000 | ||||
| N negative terms | 386.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 735.000 | ||||
| Mean of predictor | 0.243 | ||||
| Mean of criterion | 0.060 | ||||
| SD of predictor | 0.231 | ||||
| SD of criterion | 0.177 | ||||
| Covariance | 0.004 | ||||
| r | 0.108 | ||||
| b (slope, estimate of beta) | 0.083 | ||||
| a (intercept, estimate of alpha) | 0.039 | ||||
| Mean Square Error | 0.031 | ||||
| DF error | 733.000 | ||||
| t(b) | 2.934 | ||||
| p(b) | 0.002 | ||||
| t(a) | 0.326 | ||||
| p(a) | 0.372 | ||||
| Lowerbound of 95% confidence interval for beta | 0.027 | ||||
| Upperbound of 95% confidence interval for beta | 0.138 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.198 | ||||
| Upperbound of 95% confidence interval for alpha | 0.277 | ||||
| Treynor index (mean / b) | 0.720 | ||||
| Jensen alpha (a) | 0.039 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.015 | ||||
| Expected Shortfall on VaR | 0.019 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.005 | ||||
| Expected Shortfall on VaR | 0.010 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 735.000 | ||||
| Minimum | 0.915 | ||||
| Quartile 1 | 0.998 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.003 | ||||
| Maximum | 1.138 | ||||
| Mean of quarter 1 | 0.993 | ||||
| Mean of quarter 2 | 0.999 | ||||
| Mean of quarter 3 | 1.001 | ||||
| Mean of quarter 4 | 1.008 | ||||
| Inter Quartile Range | 0.005 | ||||
| Number outliers low | 32.000 | ||||
| Percentage of outliers low | 0.044 | ||||
| Mean of outliers low | 0.982 | ||||
| Number of outliers high | 19.000 | ||||
| Percentage of outliers high | 0.026 | ||||
| Mean of outliers high | 1.030 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | 0.509 | ||||
| VaR(95%) (moments method) | 0.007 | ||||
| Expected Shortfall (moments method) | 0.015 | ||||
| Extreme Value Index (regression method) | 0.400 | ||||
| VaR(95%) (regression method) | 0.006 | ||||
| Expected Shortfall (regression method) | 0.011 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 35.000 | ||||
| Minimum | 0.000 | ||||
| Quartile 1 | 0.003 | ||||
| Median | 0.007 | ||||
| Quartile 3 | 0.019 | ||||
| Maximum | 0.119 | ||||
| Mean of quarter 1 | 0.001 | ||||
| Mean of quarter 2 | 0.004 | ||||
| Mean of quarter 3 | 0.011 | ||||
| Mean of quarter 4 | 0.057 | ||||
| Inter Quartile Range | 0.017 | ||||
| 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 | 0.114 | ||||
| Mean of outliers high | 0.088 | ||||
| Risk estimates based on draw downs (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | -0.049 | ||||
| VaR(95%) (moments method) | 0.053 | ||||
| Expected Shortfall (moments method) | 0.072 | ||||
| Extreme Value Index (regression method) | 0.225 | ||||
| VaR(95%) (regression method) | 0.069 | ||||
| Expected Shortfall (regression method) | 0.113 | ||||
| COMBINED STATISTICS | |||||
| Annualized return (arithmetic extrapolation) | 0.116 | ||||
| Compounded annual return (geometric extrapolation) | 0.109 | ||||
| Calmar ratio (compounded annual return / max draw down) | 0.919 | ||||
| Compounded annual return / average of 25% largest draw downs | 1.918 | ||||
| Compounded annual return / Expected Shortfall lognormal | 5.639 | ||||
| ANALYSIS BASED ON DAILY VALUES, LAST 6 MONTHS (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.092 | ||||
| SD | 0.107 | ||||
| Sharpe ratio (Glass type estimate) | -0.856 | ||||
| Sharpe ratio (Hedges UMVUE) | -0.853 | ||||
| df | 171.000 | ||||
| t | -0.606 | ||||
| p | 0.529 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -3.629 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.918 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -3.626 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.921 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -1.144 | ||||
| Upside Potential Ratio | 8.492 | ||||
| Upside part of mean | 0.680 | ||||
| Downside part of mean | -0.772 | ||||
| Upside SD | 0.071 | ||||
| Downside SD | 0.080 | ||||
| N nonnegative terms | 79.000 | ||||
| N negative terms | 93.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 172.000 | ||||
| Mean of predictor | 0.615 | ||||
| Mean of criterion | -0.092 | ||||
| SD of predictor | 0.277 | ||||
| SD of criterion | 0.107 | ||||
| Covariance | 0.005 | ||||
| r | 0.166 | ||||
| b (slope, estimate of beta) | 0.064 | ||||
| a (intercept, estimate of alpha) | -0.131 | ||||
| Mean Square Error | 0.011 | ||||
| DF error | 170.000 | ||||
| t(b) | 2.195 | ||||
| p(b) | 0.417 | ||||
| t(a) | -0.869 | ||||
| p(a) | 0.533 | ||||
| Lowerbound of 95% confidence interval for beta | 0.006 | ||||
| Upperbound of 95% confidence interval for beta | 0.122 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.429 | ||||
| Upperbound of 95% confidence interval for alpha | 0.166 | ||||
| Treynor index (mean / b) | -1.430 | ||||
| Jensen alpha (a) | -0.131 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.097 | ||||
| SD | 0.107 | ||||
| Sharpe ratio (Glass type estimate) | -0.909 | ||||
| Sharpe ratio (Hedges UMVUE) | -0.905 | ||||
| df | 171.000 | ||||
| t | -0.643 | ||||
| p | 0.531 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -3.681 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.866 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -3.678 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.869 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -1.208 | ||||
| Upside Potential Ratio | 8.410 | ||||
| Upside part of mean | 0.678 | ||||
| Downside part of mean | -0.775 | ||||
| Upside SD | 0.070 | ||||
| Downside SD | 0.081 | ||||
| N nonnegative terms | 79.000 | ||||
| N negative terms | 93.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 172.000 | ||||
| Mean of predictor | 0.576 | ||||
| Mean of criterion | -0.097 | ||||
| SD of predictor | 0.277 | ||||
| SD of criterion | 0.107 | ||||
| Covariance | 0.005 | ||||
| r | 0.165 | ||||
| b (slope, estimate of beta) | 0.064 | ||||
| a (intercept, estimate of alpha) | -0.134 | ||||
| Mean Square Error | 0.011 | ||||
| DF error | 170.000 | ||||
| t(b) | 2.183 | ||||
| p(b) | 0.417 | ||||
| t(a) | -0.890 | ||||
| p(a) | 0.534 | ||||
| Lowerbound of 95% confidence interval for beta | 0.006 | ||||
| Upperbound of 95% confidence interval for beta | 0.122 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.432 | ||||
| Upperbound of 95% confidence interval for alpha | 0.163 | ||||
| Treynor index (mean / b) | -1.523 | ||||
| Jensen alpha (a) | -0.134 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.010 | ||||
| Expected Shortfall on VaR | 0.012 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.005 | ||||
| Expected Shortfall on VaR | 0.010 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 172.000 | ||||
| Minimum | 0.977 | ||||
| Quartile 1 | 0.997 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.003 | ||||
| Maximum | 1.021 | ||||
| Mean of quarter 1 | 0.993 | ||||
| Mean of quarter 2 | 0.999 | ||||
| Mean of quarter 3 | 1.001 | ||||
| Mean of quarter 4 | 1.007 | ||||
| Inter Quartile Range | 0.006 | ||||
| Number outliers low | 3.000 | ||||
| Percentage of outliers low | 0.017 | ||||
| Mean of outliers low | 0.982 | ||||
| Number of outliers high | 2.000 | ||||
| Percentage of outliers high | 0.012 | ||||
| Mean of outliers high | 1.018 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | -0.226 | ||||
| VaR(95%) (moments method) | 0.007 | ||||
| Expected Shortfall (moments method) | 0.009 | ||||
| Extreme Value Index (regression method) | -0.068 | ||||
| VaR(95%) (regression method) | 0.009 | ||||
| Expected Shortfall (regression method) | 0.012 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 5.000 | ||||
| Minimum | 0.003 | ||||
| Quartile 1 | 0.005 | ||||
| Median | 0.030 | ||||
| Quartile 3 | 0.035 | ||||
| Maximum | 0.061 | ||||
| Mean of quarter 1 | 0.004 | ||||
| Mean of quarter 2 | 0.030 | ||||
| Mean of quarter 3 | 0.035 | ||||
| Mean of quarter 4 | 0.061 | ||||
| Inter Quartile Range | 0.030 | ||||
| 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) | -0.053 | ||||
| Compounded annual return (geometric extrapolation) | -0.052 | ||||
| Calmar ratio (compounded annual return / max draw down) | -0.857 | ||||
| Compounded annual return / average of 25% largest draw downs | -0.857 | ||||
| Compounded annual return / Expected Shortfall lognormal | -4.284 | ||||


