Advanced Statistics: Stellar--not supp. since 08.22.08
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 | -0.031 | ||||
| SD | 0.093 | ||||
| Sharpe ratio (Glass type estimate) | -0.332 | ||||
| Sharpe ratio (Hedges UMVUE) | -0.325 | ||||
| df | 41.000 | ||||
| t | -0.620 | ||||
| p | 0.731 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.380 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.720 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -1.376 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 0.725 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -0.463 | ||||
| Upside Potential Ratio | 0.850 | ||||
| Upside part of mean | 0.056 | ||||
| Downside part of mean | -0.087 | ||||
| Upside SD | 0.064 | ||||
| Downside SD | 0.066 | ||||
| N nonnegative terms | 4.000 | ||||
| N negative terms | 38.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 42.000 | ||||
| Mean of predictor | 0.034 | ||||
| Mean of criterion | -0.031 | ||||
| SD of predictor | 0.273 | ||||
| SD of criterion | 0.093 | ||||
| Covariance | 0.002 | ||||
| r | 0.073 | ||||
| b (slope, estimate of beta) | 0.025 | ||||
| a (intercept, estimate of alpha) | -0.032 | ||||
| Mean Square Error | 0.009 | ||||
| DF error | 40.000 | ||||
| t(b) | 0.463 | ||||
| p(b) | 0.323 | ||||
| t(a) | -0.631 | ||||
| p(a) | 0.734 | ||||
| Lowerbound of 95% confidence interval for beta | -0.083 | ||||
| Upperbound of 95% confidence interval for beta | 0.133 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.133 | ||||
| Upperbound of 95% confidence interval for alpha | 0.070 | ||||
| Treynor index (mean / b) | -1.239 | ||||
| Jensen alpha (a) | -0.032 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.035 | ||||
| SD | 0.093 | ||||
| Sharpe ratio (Glass type estimate) | -0.376 | ||||
| Sharpe ratio (Hedges UMVUE) | -0.369 | ||||
| df | 41.000 | ||||
| t | -0.703 | ||||
| p | 0.757 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.424 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.677 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -1.420 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 0.682 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -0.503 | ||||
| Upside Potential Ratio | 0.784 | ||||
| Upside part of mean | 0.054 | ||||
| Downside part of mean | -0.089 | ||||
| Upside SD | 0.061 | ||||
| Downside SD | 0.069 | ||||
| N nonnegative terms | 4.000 | ||||
| N negative terms | 38.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 42.000 | ||||
| Mean of predictor | -0.005 | ||||
| Mean of criterion | -0.035 | ||||
| SD of predictor | 0.286 | ||||
| SD of criterion | 0.093 | ||||
| Covariance | 0.002 | ||||
| r | 0.077 | ||||
| b (slope, estimate of beta) | 0.025 | ||||
| a (intercept, estimate of alpha) | -0.035 | ||||
| Mean Square Error | 0.009 | ||||
| DF error | 40.000 | ||||
| t(b) | 0.491 | ||||
| p(b) | 0.313 | ||||
| t(a) | -0.694 | ||||
| p(a) | 0.754 | ||||
| Lowerbound of 95% confidence interval for beta | -0.078 | ||||
| Upperbound of 95% confidence interval for beta | 0.129 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.136 | ||||
| Upperbound of 95% confidence interval for alpha | 0.066 | ||||
| Treynor index (mean / b) | -1.386 | ||||
| Jensen alpha (a) | -0.035 | ||||
| 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 | 0.056 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.024 | ||||
| Expected Shortfall on VaR | 0.048 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 42.000 | ||||
| Minimum | 0.900 | ||||
| Quartile 1 | 0.998 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.001 | ||||
| Maximum | 1.108 | ||||
| Mean of quarter 1 | 0.983 | ||||
| Mean of quarter 2 | 0.999 | ||||
| Mean of quarter 3 | 1.001 | ||||
| Mean of quarter 4 | 1.021 | ||||
| Inter Quartile Range | 0.003 | ||||
| Number outliers low | 2.000 | ||||
| Percentage of outliers low | 0.048 | ||||
| Mean of outliers low | 0.920 | ||||
| Number of outliers high | 4.000 | ||||
| Percentage of outliers high | 0.095 | ||||
| Mean of outliers high | 1.053 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | 1.283 | ||||
| VaR(95%) (moments method) | 0.011 | ||||
| Expected Shortfall (moments method) | NA | ||||
| Extreme Value Index (regression method) | 2.151 | ||||
| VaR(95%) (regression method) | 0.006 | ||||
| Expected Shortfall (regression method) | NA | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 1.000 | ||||
| Minimum | 0.154 | ||||
| Quartile 1 | 0.154 | ||||
| Median | 0.154 | ||||
| Quartile 3 | 0.154 | ||||
| Maximum | 0.154 | ||||
| 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) | 0.009 | ||||
| Compounded annual return (geometric extrapolation) | 0.009 | ||||
| Calmar ratio (compounded annual return / max draw down) | 0.060 | ||||
| Compounded annual return / average of 25% largest draw downs | NA | ||||
| Compounded annual return / Expected Shortfall lognormal | 0.163 | ||||
| ANALYSIS BASED ON DAILY VALUES, FULL HISTORY (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.026 | ||||
| SD | 0.132 | ||||
| Sharpe ratio (Glass type estimate) | -0.195 | ||||
| Sharpe ratio (Hedges UMVUE) | -0.194 | ||||
| df | 1208.000 | ||||
| t | -0.365 | ||||
| p | 0.505 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.240 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.851 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -1.240 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 0.851 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -0.296 | ||||
| Upside Potential Ratio | 2.484 | ||||
| Upside part of mean | 0.215 | ||||
| Downside part of mean | -0.240 | ||||
| Upside SD | 0.099 | ||||
| Downside SD | 0.087 | ||||
| N nonnegative terms | 267.000 | ||||
| N negative terms | 942.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 1209.000 | ||||
| Mean of predictor | 0.060 | ||||
| Mean of criterion | -0.026 | ||||
| SD of predictor | 0.307 | ||||
| SD of criterion | 0.132 | ||||
| Covariance | 0.003 | ||||
| r | 0.073 | ||||
| b (slope, estimate of beta) | 0.031 | ||||
| a (intercept, estimate of alpha) | -0.027 | ||||
| Mean Square Error | 0.017 | ||||
| DF error | 1207.000 | ||||
| t(b) | 2.541 | ||||
| p(b) | 0.454 | ||||
| t(a) | -0.392 | ||||
| p(a) | 0.507 | ||||
| Lowerbound of 95% confidence interval for beta | 0.007 | ||||
| Upperbound of 95% confidence interval for beta | 0.055 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.165 | ||||
| Upperbound of 95% confidence interval for alpha | 0.110 | ||||
| Treynor index (mean / b) | -0.820 | ||||
| Jensen alpha (a) | -0.027 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.034 | ||||
| SD | 0.131 | ||||
| Sharpe ratio (Glass type estimate) | -0.261 | ||||
| Sharpe ratio (Hedges UMVUE) | -0.261 | ||||
| df | 1208.000 | ||||
| t | -0.489 | ||||
| p | 0.507 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.306 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.785 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -1.306 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 0.785 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -0.380 | ||||
| Upside Potential Ratio | 2.334 | ||||
| Upside part of mean | 0.210 | ||||
| Downside part of mean | -0.244 | ||||
| Upside SD | 0.095 | ||||
| Downside SD | 0.090 | ||||
| N nonnegative terms | 267.000 | ||||
| N negative terms | 942.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 1209.000 | ||||
| Mean of predictor | 0.012 | ||||
| Mean of criterion | -0.034 | ||||
| SD of predictor | 0.307 | ||||
| SD of criterion | 0.131 | ||||
| Covariance | 0.003 | ||||
| r | 0.073 | ||||
| b (slope, estimate of beta) | 0.031 | ||||
| a (intercept, estimate of alpha) | -0.035 | ||||
| Mean Square Error | 0.017 | ||||
| DF error | 1207.000 | ||||
| t(b) | 2.556 | ||||
| p(b) | 0.453 | ||||
| t(a) | -0.496 | ||||
| p(a) | 0.509 | ||||
| Lowerbound of 95% confidence interval for beta | 0.007 | ||||
| Upperbound of 95% confidence interval for beta | 0.055 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.172 | ||||
| Upperbound of 95% confidence interval for alpha | 0.102 | ||||
| Treynor index (mean / b) | -1.093 | ||||
| Jensen alpha (a) | -0.035 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.012 | ||||
| Expected Shortfall on VaR | 0.015 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.002 | ||||
| Expected Shortfall on VaR | 0.005 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 1209.000 | ||||
| Minimum | 0.884 | ||||
| Quartile 1 | 1.000 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.000 | ||||
| Maximum | 1.115 | ||||
| Mean of quarter 1 | 0.998 | ||||
| Mean of quarter 2 | 1.000 | ||||
| Mean of quarter 3 | 1.000 | ||||
| Mean of quarter 4 | 1.003 | ||||
| Inter Quartile Range | 0.000 | ||||
| Number outliers low | 108.000 | ||||
| Percentage of outliers low | 0.089 | ||||
| Mean of outliers low | 0.994 | ||||
| Number of outliers high | 104.000 | ||||
| Percentage of outliers high | 0.086 | ||||
| Mean of outliers high | 1.007 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | 1.206 | ||||
| VaR(95%) (moments method) | 0.001 | ||||
| Expected Shortfall (moments method) | NA | ||||
| Extreme Value Index (regression method) | 0.780 | ||||
| VaR(95%) (regression method) | 0.000 | ||||
| Expected Shortfall (regression method) | 0.010 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 6.000 | ||||
| Minimum | 0.003 | ||||
| Quartile 1 | 0.011 | ||||
| Median | 0.018 | ||||
| Quartile 3 | 0.107 | ||||
| Maximum | 0.232 | ||||
| Mean of quarter 1 | 0.006 | ||||
| Mean of quarter 2 | 0.017 | ||||
| Mean of quarter 3 | 0.020 | ||||
| Mean of quarter 4 | 0.184 | ||||
| Inter Quartile Range | 0.096 | ||||
| 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) | 0.010 | ||||
| Compounded annual return (geometric extrapolation) | 0.010 | ||||
| Calmar ratio (compounded annual return / max draw down) | 0.042 | ||||
| Compounded annual return / average of 25% largest draw downs | 0.053 | ||||
| Compounded annual return / Expected Shortfall lognormal | 0.674 | ||||
| ANALYSIS BASED ON DAILY VALUES, LAST 6 MONTHS (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.043 | ||||
| SD | 0.008 | ||||
| Sharpe ratio (Glass type estimate) | -5.439 | ||||
| Sharpe ratio (Hedges UMVUE) | -5.415 | ||||
| df | 171.000 | ||||
| t | -3.846 | ||||
| p | 0.677 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -8.263 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | -2.601 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -8.246 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -2.585 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -6.723 | ||||
| Upside Potential Ratio | 4.656 | ||||
| Upside part of mean | 0.030 | ||||
| Downside part of mean | -0.072 | ||||
| Upside SD | 0.005 | ||||
| Downside SD | 0.006 | ||||
| N nonnegative terms | 45.000 | ||||
| N negative terms | 127.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 172.000 | ||||
| Mean of predictor | 0.603 | ||||
| Mean of criterion | -0.043 | ||||
| SD of predictor | 0.287 | ||||
| SD of criterion | 0.008 | ||||
| Covariance | -0.000 | ||||
| r | -0.014 | ||||
| b (slope, estimate of beta) | -0.000 | ||||
| a (intercept, estimate of alpha) | -0.042 | ||||
| Mean Square Error | 0.000 | ||||
| DF error | 170.000 | ||||
| t(b) | -0.180 | ||||
| p(b) | 0.507 | ||||
| t(a) | -3.791 | ||||
| p(a) | 0.640 | ||||
| Lowerbound of 95% confidence interval for beta | -0.005 | ||||
| Upperbound of 95% confidence interval for beta | 0.004 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.064 | ||||
| Upperbound of 95% confidence interval for alpha | -0.020 | ||||
| Treynor index (mean / b) | 113.057 | ||||
| Jensen alpha (a) | -0.042 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.043 | ||||
| SD | 0.008 | ||||
| Sharpe ratio (Glass type estimate) | -5.444 | ||||
| Sharpe ratio (Hedges UMVUE) | -5.420 | ||||
| df | 171.000 | ||||
| t | -3.850 | ||||
| p | 0.677 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -8.268 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | -2.605 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -8.251 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -2.590 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -6.725 | ||||
| Upside Potential Ratio | 4.651 | ||||
| Upside part of mean | 0.030 | ||||
| Downside part of mean | -0.072 | ||||
| Upside SD | 0.005 | ||||
| Downside SD | 0.006 | ||||
| N nonnegative terms | 45.000 | ||||
| N negative terms | 127.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 172.000 | ||||
| Mean of predictor | 0.561 | ||||
| Mean of criterion | -0.043 | ||||
| SD of predictor | 0.286 | ||||
| SD of criterion | 0.008 | ||||
| Covariance | -0.000 | ||||
| r | -0.013 | ||||
| b (slope, estimate of beta) | -0.000 | ||||
| a (intercept, estimate of alpha) | -0.042 | ||||
| Mean Square Error | 0.000 | ||||
| DF error | 170.000 | ||||
| t(b) | -0.165 | ||||
| p(b) | 0.506 | ||||
| t(a) | -3.800 | ||||
| p(a) | 0.640 | ||||
| Lowerbound of 95% confidence interval for beta | -0.004 | ||||
| Upperbound of 95% confidence interval for beta | 0.004 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.065 | ||||
| Upperbound of 95% confidence interval for alpha | -0.020 | ||||
| Treynor index (mean / b) | 122.944 | ||||
| Jensen alpha (a) | -0.042 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.001 | ||||
| Expected Shortfall on VaR | 0.001 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.001 | ||||
| Expected Shortfall on VaR | 0.001 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 172.000 | ||||
| Minimum | 0.998 | ||||
| Quartile 1 | 1.000 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.000 | ||||
| Maximum | 1.003 | ||||
| Mean of quarter 1 | 1.000 | ||||
| Mean of quarter 2 | 1.000 | ||||
| Mean of quarter 3 | 1.000 | ||||
| Mean of quarter 4 | 1.000 | ||||
| Inter Quartile Range | 0.000 | ||||
| Number outliers low | 8.000 | ||||
| Percentage of outliers low | 0.047 | ||||
| Mean of outliers low | 0.999 | ||||
| Number of outliers high | 8.000 | ||||
| Percentage of outliers high | 0.047 | ||||
| Mean of outliers high | 1.001 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | -0.782 | ||||
| VaR(95%) (moments method) | -0.001 | ||||
| Expected Shortfall (moments method) | NA | ||||
| Extreme Value Index (regression method) | 0.715 | ||||
| VaR(95%) (regression method) | 0.001 | ||||
| Expected Shortfall (regression method) | 0.001 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 7.000 | ||||
| Minimum | 0.000 | ||||
| Quartile 1 | 0.000 | ||||
| Median | 0.000 | ||||
| Quartile 3 | 0.002 | ||||
| Maximum | 0.006 | ||||
| Mean of quarter 1 | 0.000 | ||||
| Mean of quarter 2 | 0.000 | ||||
| Mean of quarter 3 | 0.000 | ||||
| Mean of quarter 4 | 0.005 | ||||
| Inter Quartile Range | 0.002 | ||||
| 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 | 0.143 | ||||
| Mean of outliers high | 0.006 | ||||
| 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) | 0.001 | ||||
| Compounded annual return (geometric extrapolation) | 0.001 | ||||
| Calmar ratio (compounded annual return / max draw down) | 0.223 | ||||
| Compounded annual return / average of 25% largest draw downs | 0.281 | ||||
| Compounded annual return / Expected Shortfall lognormal | 1.361 | ||||


