Advanced Statistics: GSystem
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 | -0.207 | ||||
| SD | 0.229 | ||||
| Sharpe ratio (Glass type estimate) | -0.904 | ||||
| Sharpe ratio (Hedges UMVUE) | -0.869 | ||||
| df | 20.000 | ||||
| t | -1.195 | ||||
| p | 0.629 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.400 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.615 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -2.375 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 0.637 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -0.895 | ||||
| Upside Potential Ratio | 0.032 | ||||
| Upside part of mean | 0.007 | ||||
| Downside part of mean | -0.214 | ||||
| Upside SD | 0.010 | ||||
| Downside SD | 0.231 | ||||
| N nonnegative terms | 1.000 | ||||
| N negative terms | 20.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 21.000 | ||||
| Mean of predictor | 0.114 | ||||
| Mean of criterion | -0.207 | ||||
| SD of predictor | 0.200 | ||||
| SD of criterion | 0.229 | ||||
| Covariance | 0.012 | ||||
| r | 0.264 | ||||
| b (slope, estimate of beta) | 0.302 | ||||
| a (intercept, estimate of alpha) | -0.241 | ||||
| Mean Square Error | 0.051 | ||||
| DF error | 19.000 | ||||
| t(b) | 1.192 | ||||
| p(b) | 0.334 | ||||
| t(a) | -1.389 | ||||
| p(a) | 0.690 | ||||
| Lowerbound of 95% confidence interval for beta | -0.228 | ||||
| Upperbound of 95% confidence interval for beta | 0.833 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.604 | ||||
| Upperbound of 95% confidence interval for alpha | 0.122 | ||||
| Treynor index (mean / b) | -0.683 | ||||
| Jensen alpha (a) | -0.241 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.239 | ||||
| SD | 0.272 | ||||
| Sharpe ratio (Glass type estimate) | -0.880 | ||||
| Sharpe ratio (Hedges UMVUE) | -0.847 | ||||
| df | 20.000 | ||||
| t | -1.164 | ||||
| p | 0.626 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.376 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.636 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -2.351 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 0.658 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -0.873 | ||||
| Upside Potential Ratio | 0.027 | ||||
| Upside part of mean | 0.007 | ||||
| Downside part of mean | -0.247 | ||||
| Upside SD | 0.010 | ||||
| Downside SD | 0.274 | ||||
| N nonnegative terms | 1.000 | ||||
| N negative terms | 20.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 21.000 | ||||
| Mean of predictor | 0.093 | ||||
| Mean of criterion | -0.239 | ||||
| SD of predictor | 0.206 | ||||
| SD of criterion | 0.272 | ||||
| Covariance | 0.014 | ||||
| r | 0.254 | ||||
| b (slope, estimate of beta) | 0.335 | ||||
| a (intercept, estimate of alpha) | -0.270 | ||||
| Mean Square Error | 0.073 | ||||
| DF error | 19.000 | ||||
| t(b) | 1.146 | ||||
| p(b) | 0.340 | ||||
| t(a) | -1.315 | ||||
| p(a) | 0.681 | ||||
| Lowerbound of 95% confidence interval for beta | -0.277 | ||||
| Upperbound of 95% confidence interval for beta | 0.947 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.701 | ||||
| Upperbound of 95% confidence interval for alpha | 0.160 | ||||
| Treynor index (mean / b) | -0.714 | ||||
| Jensen alpha (a) | -0.270 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.138 | ||||
| Expected Shortfall on VaR | 0.166 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.060 | ||||
| Expected Shortfall on VaR | 0.130 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 21.000 | ||||
| Minimum | 0.699 | ||||
| Quartile 1 | 1.000 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.000 | ||||
| Maximum | 1.017 | ||||
| Mean of quarter 1 | 0.950 | ||||
| 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 | 2.000 | ||||
| Percentage of outliers low | 0.095 | ||||
| Mean of outliers low | 0.849 | ||||
| Number of outliers high | 3.000 | ||||
| Percentage of outliers high | 0.143 | ||||
| Mean of outliers high | 1.006 | ||||
| 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 | 0.301 | ||||
| Quartile 1 | 0.301 | ||||
| Median | 0.301 | ||||
| Quartile 3 | 0.301 | ||||
| Maximum | 0.301 | ||||
| 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) | -0.165 | ||||
| Compounded annual return (geometric extrapolation) | -0.177 | ||||
| Calmar ratio (compounded annual return / max draw down) | -0.589 | ||||
| Compounded annual return / average of 25% largest draw downs | NA | ||||
| Compounded annual return / Expected Shortfall lognormal | -1.069 | ||||
| ANALYSIS BASED ON DAILY VALUES, FULL HISTORY (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.216 | ||||
| SD | 0.176 | ||||
| Sharpe ratio (Glass type estimate) | -1.227 | ||||
| Sharpe ratio (Hedges UMVUE) | -1.226 | ||||
| df | 621.000 | ||||
| t | -1.650 | ||||
| p | 0.950 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.686 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.232 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -2.685 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 0.233 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -1.327 | ||||
| Upside Potential Ratio | 0.673 | ||||
| Upside part of mean | 0.110 | ||||
| Downside part of mean | -0.326 | ||||
| Upside SD | 0.068 | ||||
| Downside SD | 0.163 | ||||
| N nonnegative terms | 10.000 | ||||
| N negative terms | 612.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 622.000 | ||||
| Mean of predictor | 0.207 | ||||
| Mean of criterion | -0.216 | ||||
| SD of predictor | 0.235 | ||||
| SD of criterion | 0.176 | ||||
| Covariance | 0.002 | ||||
| r | 0.039 | ||||
| b (slope, estimate of beta) | 0.029 | ||||
| a (intercept, estimate of alpha) | -0.222 | ||||
| Mean Square Error | 0.031 | ||||
| DF error | 620.000 | ||||
| t(b) | 0.968 | ||||
| p(b) | 0.167 | ||||
| t(a) | -1.694 | ||||
| p(a) | 0.955 | ||||
| Lowerbound of 95% confidence interval for beta | -0.030 | ||||
| Upperbound of 95% confidence interval for beta | 0.088 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.480 | ||||
| Upperbound of 95% confidence interval for alpha | 0.035 | ||||
| Treynor index (mean / b) | -7.425 | ||||
| Jensen alpha (a) | -0.222 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.233 | ||||
| SD | 0.187 | ||||
| Sharpe ratio (Glass type estimate) | -1.249 | ||||
| Sharpe ratio (Hedges UMVUE) | -1.247 | ||||
| df | 621.000 | ||||
| t | -1.679 | ||||
| p | 0.953 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.708 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.211 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -2.707 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 0.212 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -1.333 | ||||
| Upside Potential Ratio | 0.614 | ||||
| Upside part of mean | 0.107 | ||||
| Downside part of mean | -0.340 | ||||
| Upside SD | 0.066 | ||||
| Downside SD | 0.175 | ||||
| N nonnegative terms | 10.000 | ||||
| N negative terms | 612.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 622.000 | ||||
| Mean of predictor | 0.179 | ||||
| Mean of criterion | -0.233 | ||||
| SD of predictor | 0.235 | ||||
| SD of criterion | 0.187 | ||||
| Covariance | 0.002 | ||||
| r | 0.040 | ||||
| b (slope, estimate of beta) | 0.032 | ||||
| a (intercept, estimate of alpha) | -0.239 | ||||
| Mean Square Error | 0.035 | ||||
| DF error | 620.000 | ||||
| t(b) | 0.993 | ||||
| p(b) | 0.161 | ||||
| t(a) | -1.719 | ||||
| p(a) | 0.957 | ||||
| Lowerbound of 95% confidence interval for beta | -0.031 | ||||
| Upperbound of 95% confidence interval for beta | 0.094 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.511 | ||||
| Upperbound of 95% confidence interval for alpha | 0.034 | ||||
| Treynor index (mean / b) | -7.374 | ||||
| Jensen alpha (a) | -0.239 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.017 | ||||
| Expected Shortfall on VaR | 0.021 | ||||
| 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 | 622.000 | ||||
| Minimum | 0.846 | ||||
| Quartile 1 | 1.000 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.000 | ||||
| Maximum | 1.068 | ||||
| Mean of quarter 1 | 0.997 | ||||
| Mean of quarter 2 | 1.000 | ||||
| Mean of quarter 3 | 1.000 | ||||
| Mean of quarter 4 | 1.001 | ||||
| Inter Quartile Range | 0.000 | ||||
| Number outliers low | 19.000 | ||||
| Percentage of outliers low | 0.031 | ||||
| Mean of outliers low | 0.973 | ||||
| Number of outliers high | 15.000 | ||||
| Percentage of outliers high | 0.024 | ||||
| Mean of outliers high | 1.013 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | -2.290 | ||||
| VaR(95%) (moments method) | -0.014 | ||||
| Expected Shortfall (moments method) | NA | ||||
| Extreme Value Index (regression method) | 0.402 | ||||
| VaR(95%) (regression method) | -0.008 | ||||
| Expected Shortfall (regression method) | NA | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 3.000 | ||||
| Minimum | 0.026 | ||||
| Quartile 1 | 0.040 | ||||
| Median | 0.055 | ||||
| Quartile 3 | 0.195 | ||||
| Maximum | 0.335 | ||||
| Mean of quarter 1 | 0.026 | ||||
| Mean of quarter 2 | 0.055 | ||||
| Mean of quarter 3 | NA | ||||
| Mean of quarter 4 | 0.335 | ||||
| Inter Quartile Range | 0.155 | ||||
| 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) | -0.160 | ||||
| Compounded annual return (geometric extrapolation) | -0.172 | ||||
| Calmar ratio (compounded annual return / max draw down) | -0.513 | ||||
| Compounded annual return / average of 25% largest draw downs | -0.513 | ||||
| Compounded annual return / Expected Shortfall lognormal | -8.126 | ||||
| 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 | 0.691 | ||||
| Mean of criterion | -0.044 | ||||
| SD of predictor | 0.293 | ||||
| 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 | 0.648 | ||||
| Mean of criterion | -0.044 | ||||
| SD of predictor | 0.292 | ||||
| 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) | -5555758831844097.000 | ||||
| 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) | 65293025186600569238916937285632.000 | ||||
| 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 | ||||


