Advanced Statistics: Sinersys
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 | -1.936 | ||||
| SD | 0.812 | ||||
| Sharpe ratio (Glass type estimate) | -2.385 | ||||
| Sharpe ratio (Hedges UMVUE) | -1.726 | ||||
| df | 3.000 | ||||
| t | -1.377 | ||||
| p | 0.869 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -6.096 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.605 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -5.391 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.939 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -2.160 | ||||
| Upside Potential Ratio | 0.109 | ||||
| Upside part of mean | 0.098 | ||||
| Downside part of mean | -2.034 | ||||
| Upside SD | 0.056 | ||||
| Downside SD | 0.896 | ||||
| N nonnegative terms | 1.000 | ||||
| N negative terms | 3.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 4.000 | ||||
| Mean of predictor | 0.111 | ||||
| Mean of criterion | -1.936 | ||||
| SD of predictor | 0.216 | ||||
| SD of criterion | 0.812 | ||||
| Covariance | -0.036 | ||||
| r | -0.204 | ||||
| b (slope, estimate of beta) | -0.768 | ||||
| a (intercept, estimate of alpha) | -1.850 | ||||
| Mean Square Error | 0.947 | ||||
| DF error | 2.000 | ||||
| t(b) | -0.295 | ||||
| p(b) | 0.602 | ||||
| t(a) | -1.082 | ||||
| p(a) | 0.804 | ||||
| Lowerbound of 95% confidence interval for beta | -11.955 | ||||
| Upperbound of 95% confidence interval for beta | 10.420 | ||||
| Lowerbound of 95% confidence interval for alpha | -9.207 | ||||
| Upperbound of 95% confidence interval for alpha | 5.507 | ||||
| Treynor index (mean / b) | 2.522 | ||||
| Jensen alpha (a) | -1.850 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -2.510 | ||||
| SD | 1.084 | ||||
| Sharpe ratio (Glass type estimate) | -2.315 | ||||
| Sharpe ratio (Hedges UMVUE) | -1.675 | ||||
| df | 3.000 | ||||
| t | -1.337 | ||||
| p | 0.863 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -6.003 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.648 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -5.325 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.975 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -2.119 | ||||
| Upside Potential Ratio | 0.081 | ||||
| Upside part of mean | 0.096 | ||||
| Downside part of mean | -2.606 | ||||
| Upside SD | 0.055 | ||||
| Downside SD | 1.185 | ||||
| N nonnegative terms | 1.000 | ||||
| N negative terms | 3.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 4.000 | ||||
| Mean of predictor | 0.093 | ||||
| Mean of criterion | -2.510 | ||||
| SD of predictor | 0.218 | ||||
| SD of criterion | 1.084 | ||||
| Covariance | -0.063 | ||||
| r | -0.265 | ||||
| b (slope, estimate of beta) | -1.316 | ||||
| a (intercept, estimate of alpha) | -2.388 | ||||
| Mean Square Error | 1.640 | ||||
| DF error | 2.000 | ||||
| t(b) | -0.389 | ||||
| p(b) | 0.633 | ||||
| t(a) | -1.066 | ||||
| p(a) | 0.801 | ||||
| Lowerbound of 95% confidence interval for beta | -15.875 | ||||
| Upperbound of 95% confidence interval for beta | 13.243 | ||||
| Lowerbound of 95% confidence interval for alpha | -12.026 | ||||
| Upperbound of 95% confidence interval for alpha | 7.250 | ||||
| Treynor index (mean / b) | 1.908 | ||||
| Jensen alpha (a) | -2.388 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.515 | ||||
| Expected Shortfall on VaR | 0.572 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.478 | ||||
| Expected Shortfall on VaR | 0.715 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 4.000 | ||||
| Minimum | 0.524 | ||||
| Quartile 1 | 0.738 | ||||
| Median | 0.904 | ||||
| Quartile 3 | 1.009 | ||||
| Maximum | 1.036 | ||||
| Mean of quarter 1 | 0.524 | ||||
| Mean of quarter 2 | 0.809 | ||||
| Mean of quarter 3 | 1.000 | ||||
| Mean of quarter 4 | 1.036 | ||||
| Inter Quartile Range | 0.271 | ||||
| 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 | 1.000 | ||||
| Minimum | 0.576 | ||||
| Quartile 1 | 0.576 | ||||
| Median | 0.576 | ||||
| Quartile 3 | 0.576 | ||||
| Maximum | 0.576 | ||||
| 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) | -1.681 | ||||
| Compounded annual return (geometric extrapolation) | -0.915 | ||||
| Calmar ratio (compounded annual return / max draw down) | -1.589 | ||||
| Compounded annual return / average of 25% largest draw downs | NA | ||||
| Compounded annual return / Expected Shortfall lognormal | -1.600 | ||||
| ANALYSIS BASED ON DAILY VALUES, FULL HISTORY (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -2.061 | ||||
| SD | 0.542 | ||||
| Sharpe ratio (Glass type estimate) | -3.799 | ||||
| Sharpe ratio (Hedges UMVUE) | -3.777 | ||||
| df | 129.000 | ||||
| t | -2.335 | ||||
| p | 0.627 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -7.014 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | -0.570 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -6.998 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -0.555 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -4.206 | ||||
| Upside Potential Ratio | 2.442 | ||||
| Upside part of mean | 1.196 | ||||
| Downside part of mean | -3.257 | ||||
| Upside SD | 0.254 | ||||
| Downside SD | 0.490 | ||||
| N nonnegative terms | 19.000 | ||||
| N negative terms | 111.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 130.000 | ||||
| Mean of predictor | 0.455 | ||||
| Mean of criterion | -2.061 | ||||
| SD of predictor | 0.210 | ||||
| SD of criterion | 0.542 | ||||
| Covariance | 0.002 | ||||
| r | 0.019 | ||||
| b (slope, estimate of beta) | 0.050 | ||||
| a (intercept, estimate of alpha) | -2.084 | ||||
| Mean Square Error | 0.296 | ||||
| DF error | 128.000 | ||||
| t(b) | 0.219 | ||||
| p(b) | 0.490 | ||||
| t(a) | -2.336 | ||||
| p(a) | 0.601 | ||||
| Lowerbound of 95% confidence interval for beta | -0.401 | ||||
| Upperbound of 95% confidence interval for beta | 0.501 | ||||
| Lowerbound of 95% confidence interval for alpha | -3.848 | ||||
| Upperbound of 95% confidence interval for alpha | -0.319 | ||||
| Treynor index (mean / b) | -41.322 | ||||
| Jensen alpha (a) | -2.084 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -2.219 | ||||
| SD | 0.559 | ||||
| Sharpe ratio (Glass type estimate) | -3.969 | ||||
| Sharpe ratio (Hedges UMVUE) | -3.946 | ||||
| df | 129.000 | ||||
| t | -2.440 | ||||
| p | 0.633 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -7.186 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | -0.737 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -7.170 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -0.721 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -4.316 | ||||
| Upside Potential Ratio | 2.267 | ||||
| Upside part of mean | 1.165 | ||||
| Downside part of mean | -3.385 | ||||
| Upside SD | 0.245 | ||||
| Downside SD | 0.514 | ||||
| N nonnegative terms | 19.000 | ||||
| N negative terms | 111.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 130.000 | ||||
| Mean of predictor | 0.433 | ||||
| Mean of criterion | -2.219 | ||||
| SD of predictor | 0.210 | ||||
| SD of criterion | 0.559 | ||||
| Covariance | 0.002 | ||||
| r | 0.019 | ||||
| b (slope, estimate of beta) | 0.050 | ||||
| a (intercept, estimate of alpha) | -2.241 | ||||
| Mean Square Error | 0.315 | ||||
| DF error | 128.000 | ||||
| t(b) | 0.211 | ||||
| p(b) | 0.491 | ||||
| t(a) | -2.439 | ||||
| p(a) | 0.605 | ||||
| Lowerbound of 95% confidence interval for beta | -0.416 | ||||
| Upperbound of 95% confidence interval for beta | 0.515 | ||||
| Lowerbound of 95% confidence interval for alpha | -4.058 | ||||
| Upperbound of 95% confidence interval for alpha | -0.423 | ||||
| Treynor index (mean / b) | -44.636 | ||||
| Jensen alpha (a) | -2.241 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.054 | ||||
| Expected Shortfall on VaR | 0.066 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.030 | ||||
| Expected Shortfall on VaR | 0.062 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 130.000 | ||||
| Minimum | 0.881 | ||||
| Quartile 1 | 0.997 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.000 | ||||
| Maximum | 1.088 | ||||
| Mean of quarter 1 | 0.963 | ||||
| Mean of quarter 2 | 1.000 | ||||
| Mean of quarter 3 | 1.000 | ||||
| Mean of quarter 4 | 1.014 | ||||
| Inter Quartile Range | 0.003 | ||||
| Number outliers low | 26.000 | ||||
| Percentage of outliers low | 0.200 | ||||
| Mean of outliers low | 0.955 | ||||
| Number of outliers high | 16.000 | ||||
| Percentage of outliers high | 0.123 | ||||
| Mean of outliers high | 1.028 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | 0.978 | ||||
| VaR(95%) (moments method) | 0.024 | ||||
| Expected Shortfall (moments method) | 1.241 | ||||
| Extreme Value Index (regression method) | -0.058 | ||||
| VaR(95%) (regression method) | 0.031 | ||||
| Expected Shortfall (regression method) | 0.046 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 1.000 | ||||
| Minimum | 0.576 | ||||
| Quartile 1 | 0.576 | ||||
| Median | 0.576 | ||||
| Quartile 3 | 0.576 | ||||
| Maximum | 0.576 | ||||
| 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) | -1.483 | ||||
| Compounded annual return (geometric extrapolation) | -0.886 | ||||
| Calmar ratio (compounded annual return / max draw down) | -1.539 | ||||
| Compounded annual return / average of 25% largest draw downs | NA | ||||
| Compounded annual return / Expected Shortfall lognormal | -13.375 | ||||


