Advanced Statistics: extreme-os
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 | 0.476 | ||||
| SD | 0.269 | ||||
| Sharpe ratio (Glass type estimate) | 1.766 | ||||
| Sharpe ratio (Hedges UMVUE) | 1.746 | ||||
| df | 66.000 | ||||
| t | 4.172 | ||||
| p | 0.000 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | 0.878 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.642 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 0.864 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 2.627 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 3.265 | ||||
| Upside Potential Ratio | 4.441 | ||||
| Upside part of mean | 0.647 | ||||
| Downside part of mean | -0.171 | ||||
| Upside SD | 0.263 | ||||
| Downside SD | 0.146 | ||||
| N nonnegative terms | 50.000 | ||||
| N negative terms | 17.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 67.000 | ||||
| Mean of predictor | -0.046 | ||||
| Mean of criterion | 0.476 | ||||
| SD of predictor | 0.183 | ||||
| SD of criterion | 0.269 | ||||
| Covariance | 0.017 | ||||
| r | 0.337 | ||||
| b (slope, estimate of beta) | 0.495 | ||||
| a (intercept, estimate of alpha) | 0.498 | ||||
| Mean Square Error | 0.065 | ||||
| DF error | 65.000 | ||||
| t(b) | 2.888 | ||||
| p(b) | 0.003 | ||||
| t(a) | 4.596 | ||||
| p(a) | 0.000 | ||||
| Lowerbound of 95% confidence interval for beta | 0.153 | ||||
| Upperbound of 95% confidence interval for beta | 0.837 | ||||
| Lowerbound of 95% confidence interval for alpha | 0.282 | ||||
| Upperbound of 95% confidence interval for alpha | 0.715 | ||||
| Treynor index (mean / b) | 0.961 | ||||
| Jensen alpha (a) | 0.498 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.430 | ||||
| SD | 0.267 | ||||
| Sharpe ratio (Glass type estimate) | 1.609 | ||||
| Sharpe ratio (Hedges UMVUE) | 1.591 | ||||
| df | 66.000 | ||||
| t | 3.802 | ||||
| p | 0.000 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | 0.730 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.477 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 0.718 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 2.463 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 2.716 | ||||
| Upside Potential Ratio | 3.869 | ||||
| Upside part of mean | 0.613 | ||||
| Downside part of mean | -0.183 | ||||
| Upside SD | 0.247 | ||||
| Downside SD | 0.158 | ||||
| N nonnegative terms | 50.000 | ||||
| N negative terms | 17.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 67.000 | ||||
| Mean of predictor | -0.063 | ||||
| Mean of criterion | 0.430 | ||||
| SD of predictor | 0.190 | ||||
| SD of criterion | 0.267 | ||||
| Covariance | 0.018 | ||||
| r | 0.357 | ||||
| b (slope, estimate of beta) | 0.503 | ||||
| a (intercept, estimate of alpha) | 0.462 | ||||
| Mean Square Error | 0.063 | ||||
| DF error | 65.000 | ||||
| t(b) | 3.080 | ||||
| p(b) | 0.002 | ||||
| t(a) | 4.317 | ||||
| p(a) | 0.000 | ||||
| Lowerbound of 95% confidence interval for beta | 0.177 | ||||
| Upperbound of 95% confidence interval for beta | 0.829 | ||||
| Lowerbound of 95% confidence interval for alpha | 0.248 | ||||
| Upperbound of 95% confidence interval for alpha | 0.676 | ||||
| Treynor index (mean / b) | 0.856 | ||||
| Jensen alpha (a) | 0.462 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.087 | ||||
| Expected Shortfall on VaR | 0.116 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.019 | ||||
| Expected Shortfall on VaR | 0.048 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 67.000 | ||||
| Minimum | 0.794 | ||||
| Quartile 1 | 1.003 | ||||
| Median | 1.049 | ||||
| Quartile 3 | 1.090 | ||||
| Maximum | 1.191 | ||||
| Mean of quarter 1 | 0.947 | ||||
| Mean of quarter 2 | 1.025 | ||||
| Mean of quarter 3 | 1.068 | ||||
| Mean of quarter 4 | 1.135 | ||||
| Inter Quartile Range | 0.088 | ||||
| Number outliers low | 3.000 | ||||
| Percentage of outliers low | 0.045 | ||||
| Mean of outliers low | 0.830 | ||||
| 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) | -9.214 | ||||
| VaR(95%) (moments method) | 0.002 | ||||
| Expected Shortfall (moments method) | 0.002 | ||||
| Extreme Value Index (regression method) | 0.467 | ||||
| VaR(95%) (regression method) | 0.043 | ||||
| Expected Shortfall (regression method) | 0.119 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 7.000 | ||||
| Minimum | 0.016 | ||||
| Quartile 1 | 0.019 | ||||
| Median | 0.026 | ||||
| Quartile 3 | 0.089 | ||||
| Maximum | 0.400 | ||||
| Mean of quarter 1 | 0.017 | ||||
| Mean of quarter 2 | 0.024 | ||||
| Mean of quarter 3 | 0.030 | ||||
| Mean of quarter 4 | 0.274 | ||||
| Inter Quartile Range | 0.070 | ||||
| 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 | 0.400 | ||||
| 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) | 2.352 | ||||
| Compounded annual return (geometric extrapolation) | 0.607 | ||||
| Calmar ratio (compounded annual return / max draw down) | 1.518 | ||||
| Compounded annual return / average of 25% largest draw downs | 2.215 | ||||
| Compounded annual return / Expected Shortfall lognormal | 5.245 | ||||
| ANALYSIS BASED ON DAILY VALUES, FULL HISTORY (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.475 | ||||
| SD | 0.340 | ||||
| Sharpe ratio (Glass type estimate) | 1.395 | ||||
| Sharpe ratio (Hedges UMVUE) | 1.394 | ||||
| df | 1943.000 | ||||
| t | 3.315 | ||||
| p | 0.452 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | 0.569 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.220 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 0.568 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 2.220 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 2.134 | ||||
| Upside Potential Ratio | 7.871 | ||||
| Upside part of mean | 1.751 | ||||
| Downside part of mean | -1.276 | ||||
| Upside SD | 0.259 | ||||
| Downside SD | 0.222 | ||||
| N nonnegative terms | 918.000 | ||||
| N negative terms | 1026.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 1944.000 | ||||
| Mean of predictor | -0.031 | ||||
| Mean of criterion | 0.475 | ||||
| SD of predictor | 0.237 | ||||
| SD of criterion | 0.340 | ||||
| Covariance | 0.032 | ||||
| r | 0.403 | ||||
| b (slope, estimate of beta) | 0.580 | ||||
| a (intercept, estimate of alpha) | 0.493 | ||||
| Mean Square Error | 0.097 | ||||
| DF error | 1942.000 | ||||
| t(b) | 19.430 | ||||
| p(b) | 0.298 | ||||
| t(a) | 3.759 | ||||
| p(a) | 0.457 | ||||
| Lowerbound of 95% confidence interval for beta | 0.522 | ||||
| Upperbound of 95% confidence interval for beta | 0.639 | ||||
| Lowerbound of 95% confidence interval for alpha | 0.236 | ||||
| Upperbound of 95% confidence interval for alpha | 0.750 | ||||
| Treynor index (mean / b) | 0.818 | ||||
| Jensen alpha (a) | 0.493 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.417 | ||||
| SD | 0.339 | ||||
| Sharpe ratio (Glass type estimate) | 1.231 | ||||
| Sharpe ratio (Hedges UMVUE) | 1.230 | ||||
| df | 1943.000 | ||||
| t | 2.926 | ||||
| p | 0.458 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | 0.405 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.056 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 0.405 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 2.056 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 1.792 | ||||
| Upside Potential Ratio | 7.388 | ||||
| Upside part of mean | 1.719 | ||||
| Downside part of mean | -1.302 | ||||
| Upside SD | 0.247 | ||||
| Downside SD | 0.233 | ||||
| N nonnegative terms | 918.000 | ||||
| N negative terms | 1026.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 1944.000 | ||||
| Mean of predictor | -0.059 | ||||
| Mean of criterion | 0.417 | ||||
| SD of predictor | 0.237 | ||||
| SD of criterion | 0.339 | ||||
| Covariance | 0.032 | ||||
| r | 0.400 | ||||
| b (slope, estimate of beta) | 0.572 | ||||
| a (intercept, estimate of alpha) | 0.451 | ||||
| Mean Square Error | 0.096 | ||||
| DF error | 1942.000 | ||||
| t(b) | 19.231 | ||||
| p(b) | 0.300 | ||||
| t(a) | 3.449 | ||||
| p(a) | 0.461 | ||||
| Lowerbound of 95% confidence interval for beta | 0.514 | ||||
| Upperbound of 95% confidence interval for beta | 0.631 | ||||
| Lowerbound of 95% confidence interval for alpha | 0.194 | ||||
| Upperbound of 95% confidence interval for alpha | 0.707 | ||||
| Treynor index (mean / b) | 0.728 | ||||
| Jensen alpha (a) | 0.451 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.028 | ||||
| Expected Shortfall on VaR | 0.036 | ||||
| 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 | 1944.000 | ||||
| Minimum | 0.789 | ||||
| Quartile 1 | 0.998 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.005 | ||||
| Maximum | 1.248 | ||||
| Mean of quarter 1 | 0.986 | ||||
| Mean of quarter 2 | 1.000 | ||||
| Mean of quarter 3 | 1.002 | ||||
| Mean of quarter 4 | 1.018 | ||||
| Inter Quartile Range | 0.007 | ||||
| Number outliers low | 175.000 | ||||
| Percentage of outliers low | 0.090 | ||||
| Mean of outliers low | 0.969 | ||||
| Number of outliers high | 186.000 | ||||
| Percentage of outliers high | 0.096 | ||||
| Mean of outliers high | 1.033 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | 0.756 | ||||
| VaR(95%) (moments method) | 0.010 | ||||
| Expected Shortfall (moments method) | 0.046 | ||||
| Extreme Value Index (regression method) | 0.318 | ||||
| VaR(95%) (regression method) | 0.012 | ||||
| Expected Shortfall (regression method) | 0.024 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 116.000 | ||||
| Minimum | 0.000 | ||||
| Quartile 1 | 0.003 | ||||
| Median | 0.008 | ||||
| Quartile 3 | 0.022 | ||||
| Maximum | 0.553 | ||||
| Mean of quarter 1 | 0.001 | ||||
| Mean of quarter 2 | 0.005 | ||||
| Mean of quarter 3 | 0.014 | ||||
| Mean of quarter 4 | 0.083 | ||||
| Inter Quartile Range | 0.019 | ||||
| Number outliers low | 0.000 | ||||
| Percentage of outliers low | 0.000 | ||||
| Mean of outliers low | NA | ||||
| Number of outliers high | 13.000 | ||||
| Percentage of outliers high | 0.112 | ||||
| Mean of outliers high | 0.147 | ||||
| Risk estimates based on draw downs (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | 0.755 | ||||
| VaR(95%) (moments method) | 0.083 | ||||
| Expected Shortfall (moments method) | 0.357 | ||||
| Extreme Value Index (regression method) | 0.921 | ||||
| VaR(95%) (regression method) | 0.063 | ||||
| Expected Shortfall (regression method) | 0.691 | ||||
| COMBINED STATISTICS | |||||
| Annualized return (arithmetic extrapolation) | 2.217 | ||||
| Compounded annual return (geometric extrapolation) | 0.586 | ||||
| Calmar ratio (compounded annual return / max draw down) | 1.060 | ||||
| Compounded annual return / average of 25% largest draw downs | 7.024 | ||||
| Compounded annual return / Expected Shortfall lognormal | 16.366 | ||||
| ANALYSIS BASED ON DAILY VALUES, LAST 6 MONTHS (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.359 | ||||
| SD | 0.284 | ||||
| Sharpe ratio (Glass type estimate) | 1.264 | ||||
| Sharpe ratio (Hedges UMVUE) | 1.259 | ||||
| df | 171.000 | ||||
| t | 0.894 | ||||
| p | 0.457 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.513 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 4.037 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -1.516 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 4.034 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 1.723 | ||||
| Upside Potential Ratio | 7.937 | ||||
| Upside part of mean | 1.653 | ||||
| Downside part of mean | -1.294 | ||||
| Upside SD | 0.193 | ||||
| Downside SD | 0.208 | ||||
| N nonnegative terms | 80.000 | ||||
| N negative terms | 92.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 172.000 | ||||
| Mean of predictor | -0.103 | ||||
| Mean of criterion | 0.359 | ||||
| SD of predictor | 0.212 | ||||
| SD of criterion | 0.284 | ||||
| Covariance | 0.024 | ||||
| r | 0.391 | ||||
| b (slope, estimate of beta) | 0.523 | ||||
| a (intercept, estimate of alpha) | 0.413 | ||||
| Mean Square Error | 0.069 | ||||
| DF error | 170.000 | ||||
| t(b) | 5.538 | ||||
| p(b) | 0.305 | ||||
| t(a) | 1.114 | ||||
| p(a) | 0.457 | ||||
| Lowerbound of 95% confidence interval for beta | 0.337 | ||||
| Upperbound of 95% confidence interval for beta | 0.709 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.319 | ||||
| Upperbound of 95% confidence interval for alpha | 1.144 | ||||
| Treynor index (mean / b) | 0.686 | ||||
| Jensen alpha (a) | 0.413 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.318 | ||||
| SD | 0.287 | ||||
| Sharpe ratio (Glass type estimate) | 1.109 | ||||
| Sharpe ratio (Hedges UMVUE) | 1.104 | ||||
| df | 171.000 | ||||
| t | 0.784 | ||||
| p | 0.462 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.667 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 3.882 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -1.670 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 3.879 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 1.482 | ||||
| Upside Potential Ratio | 7.616 | ||||
| Upside part of mean | 1.634 | ||||
| Downside part of mean | -1.316 | ||||
| Upside SD | 0.190 | ||||
| Downside SD | 0.215 | ||||
| N nonnegative terms | 80.000 | ||||
| N negative terms | 92.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 172.000 | ||||
| Mean of predictor | -0.126 | ||||
| Mean of criterion | 0.318 | ||||
| SD of predictor | 0.212 | ||||
| SD of criterion | 0.287 | ||||
| Covariance | 0.024 | ||||
| r | 0.388 | ||||
| b (slope, estimate of beta) | 0.524 | ||||
| a (intercept, estimate of alpha) | 0.384 | ||||
| Mean Square Error | 0.070 | ||||
| DF error | 170.000 | ||||
| t(b) | 5.487 | ||||
| p(b) | 0.306 | ||||
| t(a) | 1.024 | ||||
| p(a) | 0.461 | ||||
| Lowerbound of 95% confidence interval for beta | 0.336 | ||||
| Upperbound of 95% confidence interval for beta | 0.713 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.356 | ||||
| Upperbound of 95% confidence interval for alpha | 1.124 | ||||
| Treynor index (mean / b) | 0.606 | ||||
| Jensen alpha (a) | 0.384 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.024 | ||||
| Expected Shortfall on VaR | 0.030 | ||||
| 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 | 0.916 | ||||
| Quartile 1 | 0.998 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.006 | ||||
| Maximum | 1.049 | ||||
| Mean of quarter 1 | 0.986 | ||||
| Mean of quarter 2 | 1.000 | ||||
| Mean of quarter 3 | 1.002 | ||||
| Mean of quarter 4 | 1.017 | ||||
| Inter Quartile Range | 0.007 | ||||
| Number outliers low | 17.000 | ||||
| Percentage of outliers low | 0.099 | ||||
| Mean of outliers low | 0.972 | ||||
| Number of outliers high | 17.000 | ||||
| Percentage of outliers high | 0.099 | ||||
| Mean of outliers high | 1.030 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | 0.668 | ||||
| VaR(95%) (moments method) | 0.010 | ||||
| Expected Shortfall (moments method) | 0.037 | ||||
| Extreme Value Index (regression method) | 0.472 | ||||
| VaR(95%) (regression method) | 0.014 | ||||
| Expected Shortfall (regression method) | 0.034 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 17.000 | ||||
| Minimum | 0.000 | ||||
| Quartile 1 | 0.002 | ||||
| Median | 0.013 | ||||
| Quartile 3 | 0.037 | ||||
| Maximum | 0.139 | ||||
| Mean of quarter 1 | 0.001 | ||||
| Mean of quarter 2 | 0.006 | ||||
| Mean of quarter 3 | 0.034 | ||||
| Mean of quarter 4 | 0.086 | ||||
| Inter Quartile Range | 0.035 | ||||
| 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 | 0.059 | ||||
| Mean of outliers high | 0.139 | ||||
| Risk estimates based on draw downs (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | -1.505 | ||||
| VaR(95%) (moments method) | 0.081 | ||||
| Expected Shortfall (moments method) | 0.084 | ||||
| Extreme Value Index (regression method) | -0.097 | ||||
| VaR(95%) (regression method) | 0.112 | ||||
| Expected Shortfall (regression method) | 0.148 | ||||
| COMBINED STATISTICS | |||||
| Annualized return (arithmetic extrapolation) | 0.397 | ||||
| Compounded annual return (geometric extrapolation) | 0.436 | ||||
| Calmar ratio (compounded annual return / max draw down) | 3.149 | ||||
| Compounded annual return / average of 25% largest draw downs | 5.070 | ||||
| Compounded annual return / Expected Shortfall lognormal | 14.315 | ||||


