Advanced Statistics: gdes
Advanced Statistics module contributed by Jules Ellis, C2 Member. Jules has written a very helpful guide for these statistics. | |||||
| |||||
| ANALYSIS BASED ON MONTHLY VALUES, FULL HISTORY (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.078 | ||||
| SD | 0.146 | ||||
| Sharpe ratio (Glass type estimate) | -0.537 | ||||
| Sharpe ratio (Hedges UMVUE) | -0.523 | ||||
| df | 29.000 | ||||
| t | -0.849 | ||||
| p | 0.799 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.780 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.715 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -1.770 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 0.724 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -0.612 | ||||
| Upside Potential Ratio | 0.339 | ||||
| Upside part of mean | 0.043 | ||||
| Downside part of mean | -0.122 | ||||
| Upside SD | 0.069 | ||||
| Downside SD | 0.128 | ||||
| N nonnegative terms | 1.000 | ||||
| N negative terms | 29.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 30.000 | ||||
| Mean of predictor | 0.105 | ||||
| Mean of criterion | -0.078 | ||||
| SD of predictor | 0.152 | ||||
| SD of criterion | 0.146 | ||||
| Covariance | 0.008 | ||||
| r | 0.373 | ||||
| b (slope, estimate of beta) | 0.358 | ||||
| a (intercept, estimate of alpha) | -0.116 | ||||
| Mean Square Error | 0.019 | ||||
| DF error | 28.000 | ||||
| t(b) | 2.127 | ||||
| p(b) | 0.021 | ||||
| t(a) | -1.304 | ||||
| p(a) | 0.899 | ||||
| Lowerbound of 95% confidence interval for beta | 0.013 | ||||
| Upperbound of 95% confidence interval for beta | 0.703 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.298 | ||||
| Upperbound of 95% confidence interval for alpha | 0.066 | ||||
| Treynor index (mean / b) | -0.219 | ||||
| Jensen alpha (a) | -0.116 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.090 | ||||
| SD | 0.157 | ||||
| Sharpe ratio (Glass type estimate) | -0.572 | ||||
| Sharpe ratio (Hedges UMVUE) | -0.557 | ||||
| df | 29.000 | ||||
| t | -0.904 | ||||
| p | 0.813 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.815 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.681 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -1.805 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 0.691 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -0.631 | ||||
| Upside Potential Ratio | 0.289 | ||||
| Upside part of mean | 0.041 | ||||
| Downside part of mean | -0.131 | ||||
| Upside SD | 0.065 | ||||
| Downside SD | 0.142 | ||||
| N nonnegative terms | 1.000 | ||||
| N negative terms | 29.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 30.000 | ||||
| Mean of predictor | 0.093 | ||||
| Mean of criterion | -0.090 | ||||
| SD of predictor | 0.153 | ||||
| SD of criterion | 0.157 | ||||
| Covariance | 0.009 | ||||
| r | 0.393 | ||||
| b (slope, estimate of beta) | 0.402 | ||||
| a (intercept, estimate of alpha) | -0.127 | ||||
| Mean Square Error | 0.021 | ||||
| DF error | 28.000 | ||||
| t(b) | 2.264 | ||||
| p(b) | 0.016 | ||||
| t(a) | -1.348 | ||||
| p(a) | 0.906 | ||||
| Lowerbound of 95% confidence interval for beta | 0.038 | ||||
| Upperbound of 95% confidence interval for beta | 0.766 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.319 | ||||
| Upperbound of 95% confidence interval for alpha | 0.066 | ||||
| Treynor index (mean / b) | -0.223 | ||||
| Jensen alpha (a) | -0.127 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.079 | ||||
| Expected Shortfall on VaR | 0.096 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.035 | ||||
| Expected Shortfall on VaR | 0.074 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 30.000 | ||||
| Minimum | 0.803 | ||||
| Quartile 1 | 1.000 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.000 | ||||
| Maximum | 1.112 | ||||
| Mean of quarter 1 | 0.975 | ||||
| Mean of quarter 2 | 1.000 | ||||
| Mean of quarter 3 | 1.000 | ||||
| Mean of quarter 4 | 1.014 | ||||
| Inter Quartile Range | 0.000 | ||||
| Number outliers low | 1.000 | ||||
| Percentage of outliers low | 0.033 | ||||
| Mean of outliers low | 0.803 | ||||
| Number of outliers high | 1.000 | ||||
| Percentage of outliers high | 0.033 | ||||
| Mean of outliers high | 1.112 | ||||
| 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 | 0.197 | ||||
| Quartile 1 | 0.197 | ||||
| Median | 0.197 | ||||
| Quartile 3 | 0.197 | ||||
| Maximum | 0.197 | ||||
| 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) | -0.043 | ||||
| Compounded annual return (geometric extrapolation) | -0.044 | ||||
| Calmar ratio (compounded annual return / max draw down) | -0.225 | ||||
| Compounded annual return / average of 25% largest draw downs | NA | ||||
| Compounded annual return / Expected Shortfall lognormal | -0.465 | ||||
| ANALYSIS BASED ON DAILY VALUES, FULL HISTORY (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.073 | ||||
| SD | 0.175 | ||||
| Sharpe ratio (Glass type estimate) | -0.421 | ||||
| Sharpe ratio (Hedges UMVUE) | -0.420 | ||||
| df | 866.000 | ||||
| t | -0.668 | ||||
| p | 0.748 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.655 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.814 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -1.655 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 0.815 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -0.515 | ||||
| Upside Potential Ratio | 1.502 | ||||
| Upside part of mean | 0.214 | ||||
| Downside part of mean | -0.288 | ||||
| Upside SD | 0.101 | ||||
| Downside SD | 0.143 | ||||
| N nonnegative terms | 16.000 | ||||
| N negative terms | 851.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 867.000 | ||||
| Mean of predictor | 0.122 | ||||
| Mean of criterion | -0.073 | ||||
| SD of predictor | 0.197 | ||||
| SD of criterion | 0.175 | ||||
| Covariance | 0.008 | ||||
| r | 0.239 | ||||
| b (slope, estimate of beta) | 0.211 | ||||
| a (intercept, estimate of alpha) | -0.099 | ||||
| Mean Square Error | 0.029 | ||||
| DF error | 865.000 | ||||
| t(b) | 7.224 | ||||
| p(b) | -0.000 | ||||
| t(a) | -0.927 | ||||
| p(a) | 0.823 | ||||
| Lowerbound of 95% confidence interval for beta | 0.154 | ||||
| Upperbound of 95% confidence interval for beta | 0.268 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.309 | ||||
| Upperbound of 95% confidence interval for alpha | 0.111 | ||||
| Treynor index (mean / b) | -0.348 | ||||
| Jensen alpha (a) | -0.099 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.089 | ||||
| SD | 0.179 | ||||
| Sharpe ratio (Glass type estimate) | -0.498 | ||||
| Sharpe ratio (Hedges UMVUE) | -0.498 | ||||
| df | 866.000 | ||||
| t | -0.791 | ||||
| p | 0.785 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.733 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.737 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -1.732 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 0.737 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -0.595 | ||||
| Upside Potential Ratio | 1.397 | ||||
| Upside part of mean | 0.209 | ||||
| Downside part of mean | -0.299 | ||||
| Upside SD | 0.098 | ||||
| Downside SD | 0.150 | ||||
| N nonnegative terms | 16.000 | ||||
| N negative terms | 851.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 867.000 | ||||
| Mean of predictor | 0.102 | ||||
| Mean of criterion | -0.089 | ||||
| SD of predictor | 0.197 | ||||
| SD of criterion | 0.179 | ||||
| Covariance | 0.009 | ||||
| r | 0.246 | ||||
| b (slope, estimate of beta) | 0.223 | ||||
| a (intercept, estimate of alpha) | -0.112 | ||||
| Mean Square Error | 0.030 | ||||
| DF error | 865.000 | ||||
| t(b) | 7.471 | ||||
| p(b) | -0.000 | ||||
| t(a) | -1.024 | ||||
| p(a) | 0.847 | ||||
| Lowerbound of 95% confidence interval for beta | 0.165 | ||||
| Upperbound of 95% confidence interval for beta | 0.282 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.327 | ||||
| Upperbound of 95% confidence interval for alpha | 0.103 | ||||
| Treynor index (mean / b) | -0.399 | ||||
| Jensen alpha (a) | -0.112 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.016 | ||||
| Expected Shortfall on VaR | 0.020 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.003 | ||||
| Expected Shortfall on VaR | 0.007 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 867.000 | ||||
| Minimum | 0.888 | ||||
| Quartile 1 | 1.000 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.000 | ||||
| Maximum | 1.080 | ||||
| Mean of quarter 1 | 0.997 | ||||
| Mean of quarter 2 | 1.000 | ||||
| Mean of quarter 3 | 1.000 | ||||
| Mean of quarter 4 | 1.002 | ||||
| Inter Quartile Range | 0.000 | ||||
| Number outliers low | 11.000 | ||||
| Percentage of outliers low | 0.013 | ||||
| Mean of outliers low | 0.944 | ||||
| Number of outliers high | 16.000 | ||||
| Percentage of outliers high | 0.018 | ||||
| Mean of outliers high | 1.034 | ||||
| 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) | -1.335 | ||||
| VaR(95%) (regression method) | -0.375 | ||||
| Expected Shortfall (regression method) | NA | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 1.000 | ||||
| Minimum | 0.369 | ||||
| Quartile 1 | 0.369 | ||||
| Median | 0.369 | ||||
| Quartile 3 | 0.369 | ||||
| Maximum | 0.369 | ||||
| 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) | -0.043 | ||||
| Compounded annual return (geometric extrapolation) | -0.044 | ||||
| Calmar ratio (compounded annual return / max draw down) | -0.119 | ||||
| Compounded annual return / average of 25% largest draw downs | NA | ||||
| Compounded annual return / Expected Shortfall lognormal | -2.210 | ||||
| ANALYSIS BASED ON DAILY VALUES, LAST 6 MONTHS (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.044 | ||||
| SD | 0.000 | ||||
| Sharpe ratio (Glass type estimate) | NA | ||||
| Sharpe ratio (Hedges UMVUE) | NA | ||||
| df | NA | ||||
| t | NA | ||||
| p | NA | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | NA | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | NA | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | NA | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | NA | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -18.547 | ||||
| Upside Potential Ratio | 0.000 | ||||
| Upside part of mean | 0.000 | ||||
| Downside part of mean | -0.044 | ||||
| Upside SD | 0.000 | ||||
| Downside SD | 0.002 | ||||
| N nonnegative terms | 0.000 | ||||
| N negative terms | 172.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 172.000 | ||||
| Mean of predictor | 0.389 | ||||
| Mean of criterion | -0.044 | ||||
| SD of predictor | 0.158 | ||||
| SD of criterion | 0.000 | ||||
| Covariance | 0.000 | ||||
| r | NA | ||||
| b (slope, estimate of beta) | NA | ||||
| a (intercept, estimate of alpha) | NA | ||||
| Mean Square Error | NA | ||||
| DF error | NA | ||||
| t(b) | NA | ||||
| p(b) | NA | ||||
| t(a) | NA | ||||
| p(a) | NA | ||||
| Lowerbound of 95% confidence interval for beta | NA | ||||
| Upperbound of 95% confidence interval for beta | NA | ||||
| Lowerbound of 95% confidence interval for alpha | NA | ||||
| Upperbound of 95% confidence interval for alpha | NA | ||||
| Treynor index (mean / b) | NA | ||||
| Jensen alpha (a) | NA | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.044 | ||||
| SD | 0.000 | ||||
| Sharpe ratio (Glass type estimate) | -7936535306446244.000 | ||||
| Sharpe ratio (Hedges UMVUE) | -7901674975671223.000 | ||||
| df | 171.000 | ||||
| t | -5611977934314593.000 | ||||
| p | 1.000 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | NA | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | NA | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -8739115425704417.000 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -7064234525638030.000 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -18.547 | ||||
| Upside Potential Ratio | 0.000 | ||||
| Upside part of mean | 0.000 | ||||
| Downside part of mean | -0.044 | ||||
| Upside SD | 0.000 | ||||
| Downside SD | 0.002 | ||||
| N nonnegative terms | 0.000 | ||||
| N negative terms | 172.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 172.000 | ||||
| Mean of predictor | 0.376 | ||||
| Mean of criterion | -0.044 | ||||
| SD of predictor | 0.157 | ||||
| SD of criterion | 0.000 | ||||
| Covariance | -0.000 | ||||
| r | -0.000 | ||||
| b (slope, estimate of beta) | -0.000 | ||||
| a (intercept, estimate of alpha) | -0.044 | ||||
| Mean Square Error | 0.000 | ||||
| DF error | 170.000 | ||||
| t(b) | -0.000 | ||||
| p(b) | 0.500 | ||||
| t(a) | -5549382945632657.000 | ||||
| p(a) | 1.000 | ||||
| Lowerbound of 95% confidence interval for beta | -0.000 | ||||
| Upperbound of 95% confidence interval for beta | 0.000 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.044 | ||||
| Upperbound of 95% confidence interval for alpha | -0.044 | ||||
| Treynor index (mean / b) | 20322996447121615314362002571264.000 | ||||
| Jensen alpha (a) | -0.044 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.000 | ||||
| Expected Shortfall on VaR | 0.000 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.000 | ||||
| Expected Shortfall on VaR | 0.000 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 172.000 | ||||
| Minimum | 1.000 | ||||
| Quartile 1 | 1.000 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.000 | ||||
| Maximum | 1.000 | ||||
| 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 | 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 | 0.000 | ||||
| Minimum | NA | ||||
| Quartile 1 | NA | ||||
| Median | NA | ||||
| Quartile 3 | NA | ||||
| Maximum | NA | ||||
| 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 | NA | ||||
| Mean of outliers low | NA | ||||
| Number of outliers high | 0.000 | ||||
| Percentage of outliers high | NA | ||||
| 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) | 0.000 | ||||
| Compounded annual return (geometric extrapolation) | 0.000 | ||||
| Calmar ratio (compounded annual return / max draw down) | NA | ||||
| Compounded annual return / average of 25% largest draw downs | NA | ||||
| Compounded annual return / Expected Shortfall lognormal | 0.000 | ||||


