Advanced Statistics: Bravo Tango
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 | 0.213 | ||||
| SD | 0.448 | ||||
| Sharpe ratio (Glass type estimate) | 0.474 | ||||
| Sharpe ratio (Hedges UMVUE) | 0.412 | ||||
| df | 6.000 | ||||
| t | 0.362 | ||||
| p | 0.365 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.124 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 3.035 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -2.165 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 2.989 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 1.100 | ||||
| Upside Potential Ratio | 3.262 | ||||
| Upside part of mean | 0.631 | ||||
| Downside part of mean | -0.418 | ||||
| Upside SD | 0.372 | ||||
| Downside SD | 0.193 | ||||
| N nonnegative terms | 3.000 | ||||
| N negative terms | 4.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 7.000 | ||||
| Mean of predictor | -0.015 | ||||
| Mean of criterion | 0.213 | ||||
| SD of predictor | 0.132 | ||||
| SD of criterion | 0.448 | ||||
| Covariance | 0.016 | ||||
| r | 0.269 | ||||
| b (slope, estimate of beta) | 0.913 | ||||
| a (intercept, estimate of alpha) | 0.227 | ||||
| Mean Square Error | 0.224 | ||||
| DF error | 5.000 | ||||
| t(b) | 0.624 | ||||
| p(b) | 0.280 | ||||
| t(a) | 0.366 | ||||
| p(a) | 0.365 | ||||
| Lowerbound of 95% confidence interval for beta | -2.850 | ||||
| Upperbound of 95% confidence interval for beta | 4.677 | ||||
| Lowerbound of 95% confidence interval for alpha | -1.366 | ||||
| Upperbound of 95% confidence interval for alpha | 1.819 | ||||
| Treynor index (mean / b) | 0.233 | ||||
| Jensen alpha (a) | 0.227 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.133 | ||||
| SD | 0.417 | ||||
| Sharpe ratio (Glass type estimate) | 0.319 | ||||
| Sharpe ratio (Hedges UMVUE) | 0.277 | ||||
| df | 6.000 | ||||
| t | 0.244 | ||||
| p | 0.408 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.266 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.878 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -2.294 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 2.848 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 0.656 | ||||
| Upside Potential Ratio | 2.807 | ||||
| Upside part of mean | 0.569 | ||||
| Downside part of mean | -0.436 | ||||
| Upside SD | 0.331 | ||||
| Downside SD | 0.203 | ||||
| N nonnegative terms | 3.000 | ||||
| N negative terms | 4.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 7.000 | ||||
| Mean of predictor | -0.023 | ||||
| Mean of criterion | 0.133 | ||||
| SD of predictor | 0.133 | ||||
| SD of criterion | 0.417 | ||||
| Covariance | 0.014 | ||||
| r | 0.244 | ||||
| b (slope, estimate of beta) | 0.767 | ||||
| a (intercept, estimate of alpha) | 0.150 | ||||
| Mean Square Error | 0.196 | ||||
| DF error | 5.000 | ||||
| t(b) | 0.563 | ||||
| p(b) | 0.299 | ||||
| t(a) | 0.259 | ||||
| p(a) | 0.403 | ||||
| Lowerbound of 95% confidence interval for beta | -2.734 | ||||
| Upperbound of 95% confidence interval for beta | 4.267 | ||||
| Lowerbound of 95% confidence interval for alpha | -1.342 | ||||
| Upperbound of 95% confidence interval for alpha | 1.643 | ||||
| Treynor index (mean / b) | 0.173 | ||||
| Jensen alpha (a) | 0.150 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.170 | ||||
| Expected Shortfall on VaR | 0.210 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.087 | ||||
| Expected Shortfall on VaR | 0.141 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 7.000 | ||||
| Minimum | 0.888 | ||||
| Quartile 1 | 0.942 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.052 | ||||
| Maximum | 1.276 | ||||
| Mean of quarter 1 | 0.906 | ||||
| Mean of quarter 2 | 0.980 | ||||
| Mean of quarter 3 | 1.018 | ||||
| Mean of quarter 4 | 1.180 | ||||
| Inter Quartile Range | 0.110 | ||||
| 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 | 1.276 | ||||
| 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 | 2.000 | ||||
| Minimum | 0.076 | ||||
| Quartile 1 | 0.094 | ||||
| Median | 0.112 | ||||
| Quartile 3 | 0.130 | ||||
| Maximum | 0.148 | ||||
| Mean of quarter 1 | 0.076 | ||||
| Mean of quarter 2 | NA | ||||
| Mean of quarter 3 | NA | ||||
| Mean of quarter 4 | 0.148 | ||||
| Inter Quartile Range | 0.036 | ||||
| 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) | 0.186 | ||||
| Compounded annual return (geometric extrapolation) | 0.194 | ||||
| Calmar ratio (compounded annual return / max draw down) | 1.304 | ||||
| Compounded annual return / average of 25% largest draw downs | 1.304 | ||||
| Compounded annual return / Expected Shortfall lognormal | 0.920 | ||||
| ANALYSIS BASED ON DAILY VALUES, FULL HISTORY (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.150 | ||||
| SD | 0.270 | ||||
| Sharpe ratio (Glass type estimate) | 0.553 | ||||
| Sharpe ratio (Hedges UMVUE) | 0.551 | ||||
| df | 225.000 | ||||
| t | 0.448 | ||||
| p | 0.327 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.866 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.971 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -1.867 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 2.970 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 0.789 | ||||
| Upside Potential Ratio | 6.851 | ||||
| Upside part of mean | 1.299 | ||||
| Downside part of mean | -1.149 | ||||
| Upside SD | 0.192 | ||||
| Downside SD | 0.190 | ||||
| N nonnegative terms | 54.000 | ||||
| N negative terms | 172.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 226.000 | ||||
| Mean of predictor | 0.263 | ||||
| Mean of criterion | 0.150 | ||||
| SD of predictor | 0.169 | ||||
| SD of criterion | 0.270 | ||||
| Covariance | -0.000 | ||||
| r | -0.007 | ||||
| b (slope, estimate of beta) | -0.011 | ||||
| a (intercept, estimate of alpha) | 0.152 | ||||
| Mean Square Error | 0.073 | ||||
| DF error | 224.000 | ||||
| t(b) | -0.101 | ||||
| p(b) | 0.540 | ||||
| t(a) | 0.454 | ||||
| p(a) | 0.325 | ||||
| Lowerbound of 95% confidence interval for beta | -0.222 | ||||
| Upperbound of 95% confidence interval for beta | 0.200 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.508 | ||||
| Upperbound of 95% confidence interval for alpha | 0.813 | ||||
| Treynor index (mean / b) | -13.849 | ||||
| Jensen alpha (a) | 0.152 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.113 | ||||
| SD | 0.270 | ||||
| Sharpe ratio (Glass type estimate) | 0.418 | ||||
| Sharpe ratio (Hedges UMVUE) | 0.417 | ||||
| df | 225.000 | ||||
| t | 0.339 | ||||
| p | 0.367 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.001 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.836 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -2.001 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 2.835 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 0.585 | ||||
| Upside Potential Ratio | 6.620 | ||||
| Upside part of mean | 1.281 | ||||
| Downside part of mean | -1.168 | ||||
| Upside SD | 0.188 | ||||
| Downside SD | 0.193 | ||||
| N nonnegative terms | 54.000 | ||||
| N negative terms | 172.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 226.000 | ||||
| Mean of predictor | 0.249 | ||||
| Mean of criterion | 0.113 | ||||
| SD of predictor | 0.168 | ||||
| SD of criterion | 0.270 | ||||
| Covariance | -0.000 | ||||
| r | -0.006 | ||||
| b (slope, estimate of beta) | -0.009 | ||||
| a (intercept, estimate of alpha) | 0.115 | ||||
| Mean Square Error | 0.073 | ||||
| DF error | 224.000 | ||||
| t(b) | -0.083 | ||||
| p(b) | 0.533 | ||||
| t(a) | 0.344 | ||||
| p(a) | 0.366 | ||||
| Lowerbound of 95% confidence interval for beta | -0.221 | ||||
| Upperbound of 95% confidence interval for beta | 0.203 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.546 | ||||
| Upperbound of 95% confidence interval for alpha | 0.776 | ||||
| Treynor index (mean / b) | -12.643 | ||||
| Jensen alpha (a) | 0.115 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.023 | ||||
| Expected Shortfall on VaR | 0.029 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.010 | ||||
| Expected Shortfall on VaR | 0.021 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 226.000 | ||||
| Minimum | 0.946 | ||||
| Quartile 1 | 1.000 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.000 | ||||
| Maximum | 1.071 | ||||
| Mean of quarter 1 | 0.987 | ||||
| Mean of quarter 2 | 1.000 | ||||
| Mean of quarter 3 | 1.000 | ||||
| Mean of quarter 4 | 1.015 | ||||
| Inter Quartile Range | 0.000 | ||||
| Number outliers low | 43.000 | ||||
| Percentage of outliers low | 0.190 | ||||
| Mean of outliers low | 0.983 | ||||
| Number of outliers high | 54.000 | ||||
| Percentage of outliers high | 0.239 | ||||
| Mean of outliers high | 1.016 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | -0.843 | ||||
| VaR(95%) (moments method) | 0.002 | ||||
| Expected Shortfall (moments method) | 0.002 | ||||
| Extreme Value Index (regression method) | 0.136 | ||||
| VaR(95%) (regression method) | 0.011 | ||||
| Expected Shortfall (regression method) | 0.021 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 5.000 | ||||
| Minimum | 0.001 | ||||
| Quartile 1 | 0.002 | ||||
| Median | 0.014 | ||||
| Quartile 3 | 0.143 | ||||
| Maximum | 0.254 | ||||
| Mean of quarter 1 | 0.002 | ||||
| Mean of quarter 2 | 0.014 | ||||
| Mean of quarter 3 | 0.143 | ||||
| Mean of quarter 4 | 0.254 | ||||
| Inter Quartile Range | 0.141 | ||||
| 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) | 0.166 | ||||
| Compounded annual return (geometric extrapolation) | 0.170 | ||||
| Calmar ratio (compounded annual return / max draw down) | 0.670 | ||||
| Compounded annual return / average of 25% largest draw downs | 0.670 | ||||
| Compounded annual return / Expected Shortfall lognormal | 5.809 | ||||
| ANALYSIS BASED ON DAILY VALUES, LAST 6 MONTHS (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.468 | ||||
| SD | 0.280 | ||||
| Sharpe ratio (Glass type estimate) | 1.669 | ||||
| Sharpe ratio (Hedges UMVUE) | 1.662 | ||||
| df | 171.000 | ||||
| t | 1.180 | ||||
| p | 0.443 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.111 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 4.444 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -1.116 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 4.439 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 2.527 | ||||
| Upside Potential Ratio | 8.277 | ||||
| Upside part of mean | 1.533 | ||||
| Downside part of mean | -1.065 | ||||
| Upside SD | 0.211 | ||||
| Downside SD | 0.185 | ||||
| N nonnegative terms | 47.000 | ||||
| N negative terms | 125.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 172.000 | ||||
| Mean of predictor | 0.323 | ||||
| Mean of criterion | 0.468 | ||||
| SD of predictor | 0.182 | ||||
| SD of criterion | 0.280 | ||||
| Covariance | 0.001 | ||||
| r | 0.027 | ||||
| b (slope, estimate of beta) | 0.041 | ||||
| a (intercept, estimate of alpha) | 0.455 | ||||
| Mean Square Error | 0.079 | ||||
| DF error | 170.000 | ||||
| t(b) | 0.349 | ||||
| p(b) | 0.487 | ||||
| t(a) | 1.138 | ||||
| p(a) | 0.457 | ||||
| Lowerbound of 95% confidence interval for beta | -0.192 | ||||
| Upperbound of 95% confidence interval for beta | 0.274 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.334 | ||||
| Upperbound of 95% confidence interval for alpha | 1.243 | ||||
| Treynor index (mean / b) | 11.341 | ||||
| Jensen alpha (a) | 0.455 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.429 | ||||
| SD | 0.280 | ||||
| Sharpe ratio (Glass type estimate) | 1.530 | ||||
| Sharpe ratio (Hedges UMVUE) | 1.524 | ||||
| df | 171.000 | ||||
| t | 1.082 | ||||
| p | 0.448 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.248 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 4.305 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -1.253 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 4.300 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 2.266 | ||||
| Upside Potential Ratio | 7.990 | ||||
| Upside part of mean | 1.511 | ||||
| Downside part of mean | -1.083 | ||||
| Upside SD | 0.207 | ||||
| Downside SD | 0.189 | ||||
| N nonnegative terms | 47.000 | ||||
| N negative terms | 125.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 172.000 | ||||
| Mean of predictor | 0.306 | ||||
| Mean of criterion | 0.429 | ||||
| SD of predictor | 0.181 | ||||
| SD of criterion | 0.280 | ||||
| Covariance | 0.001 | ||||
| r | 0.029 | ||||
| b (slope, estimate of beta) | 0.044 | ||||
| a (intercept, estimate of alpha) | 0.415 | ||||
| Mean Square Error | 0.079 | ||||
| DF error | 170.000 | ||||
| t(b) | 0.375 | ||||
| p(b) | 0.486 | ||||
| t(a) | 1.041 | ||||
| p(a) | 0.460 | ||||
| Lowerbound of 95% confidence interval for beta | -0.189 | ||||
| Upperbound of 95% confidence interval for beta | 0.278 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.372 | ||||
| Upperbound of 95% confidence interval for alpha | 1.202 | ||||
| Treynor index (mean / b) | 9.660 | ||||
| Jensen alpha (a) | 0.415 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.023 | ||||
| Expected Shortfall on VaR | 0.029 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.009 | ||||
| Expected Shortfall on VaR | 0.019 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 172.000 | ||||
| Minimum | 0.946 | ||||
| Quartile 1 | 1.000 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.002 | ||||
| Maximum | 1.071 | ||||
| Mean of quarter 1 | 0.988 | ||||
| Mean of quarter 2 | 1.000 | ||||
| Mean of quarter 3 | 1.000 | ||||
| Mean of quarter 4 | 1.018 | ||||
| Inter Quartile Range | 0.002 | ||||
| Number outliers low | 23.000 | ||||
| Percentage of outliers low | 0.134 | ||||
| Mean of outliers low | 0.978 | ||||
| Number of outliers high | 37.000 | ||||
| Percentage of outliers high | 0.215 | ||||
| Mean of outliers high | 1.020 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | 0.007 | ||||
| VaR(95%) (moments method) | 0.002 | ||||
| Expected Shortfall (moments method) | 0.003 | ||||
| Extreme Value Index (regression method) | 0.362 | ||||
| VaR(95%) (regression method) | 0.008 | ||||
| Expected Shortfall (regression method) | 0.020 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 9.000 | ||||
| Minimum | 0.001 | ||||
| Quartile 1 | 0.007 | ||||
| Median | 0.021 | ||||
| Quartile 3 | 0.044 | ||||
| Maximum | 0.215 | ||||
| Mean of quarter 1 | 0.003 | ||||
| Mean of quarter 2 | 0.018 | ||||
| Mean of quarter 3 | 0.033 | ||||
| Mean of quarter 4 | 0.179 | ||||
| Inter Quartile Range | 0.037 | ||||
| Number outliers low | 0.000 | ||||
| Percentage of outliers low | 0.000 | ||||
| Mean of outliers low | NA | ||||
| Number of outliers high | 2.000 | ||||
| Percentage of outliers high | 0.222 | ||||
| Mean of outliers high | 0.179 | ||||
| Risk estimates based on draw downs (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | -21.259 | ||||
| VaR(95%) (moments method) | 0.107 | ||||
| Expected Shortfall (moments method) | 0.107 | ||||
| Extreme Value Index (regression method) | -1.463 | ||||
| VaR(95%) (regression method) | 0.271 | ||||
| Expected Shortfall (regression method) | 0.282 | ||||
| COMBINED STATISTICS | |||||
| Annualized return (arithmetic extrapolation) | 0.533 | ||||
| Compounded annual return (geometric extrapolation) | 0.604 | ||||
| Calmar ratio (compounded annual return / max draw down) | 2.814 | ||||
| Compounded annual return / average of 25% largest draw downs | 3.379 | ||||
| Compounded annual return / Expected Shortfall lognormal | 20.521 | ||||


