Advanced Statistics: Easy Does It
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 | 0.114 | ||||
| SD | 0.984 | ||||
| Sharpe ratio (Glass type estimate) | 0.116 | ||||
| Sharpe ratio (Hedges UMVUE) | 0.106 | ||||
| df | 9.000 | ||||
| t | 0.106 | ||||
| p | 0.459 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.035 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.260 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -2.042 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 2.253 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 0.180 | ||||
| Upside Potential Ratio | 1.946 | ||||
| Upside part of mean | 1.229 | ||||
| Downside part of mean | -1.115 | ||||
| Upside SD | 0.688 | ||||
| Downside SD | 0.632 | ||||
| N nonnegative terms | 3.000 | ||||
| N negative terms | 7.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 10.000 | ||||
| Mean of predictor | 0.251 | ||||
| Mean of criterion | 0.114 | ||||
| SD of predictor | 0.131 | ||||
| SD of criterion | 0.984 | ||||
| Covariance | -0.056 | ||||
| r | -0.434 | ||||
| b (slope, estimate of beta) | -3.263 | ||||
| a (intercept, estimate of alpha) | 0.932 | ||||
| Mean Square Error | 0.885 | ||||
| DF error | 8.000 | ||||
| t(b) | -1.361 | ||||
| p(b) | 0.895 | ||||
| t(a) | 0.781 | ||||
| p(a) | 0.229 | ||||
| Lowerbound of 95% confidence interval for beta | -8.792 | ||||
| Upperbound of 95% confidence interval for beta | 2.265 | ||||
| Lowerbound of 95% confidence interval for alpha | -1.819 | ||||
| Upperbound of 95% confidence interval for alpha | 3.683 | ||||
| Treynor index (mean / b) | -0.035 | ||||
| Jensen alpha (a) | 0.932 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.345 | ||||
| SD | 1.034 | ||||
| Sharpe ratio (Glass type estimate) | -0.334 | ||||
| Sharpe ratio (Hedges UMVUE) | -0.305 | ||||
| df | 9.000 | ||||
| t | -0.305 | ||||
| p | 0.616 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.477 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.828 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -2.457 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.847 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -0.431 | ||||
| Upside Potential Ratio | 1.298 | ||||
| Upside part of mean | 1.039 | ||||
| Downside part of mean | -1.384 | ||||
| Upside SD | 0.574 | ||||
| Downside SD | 0.801 | ||||
| N nonnegative terms | 3.000 | ||||
| N negative terms | 7.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 10.000 | ||||
| Mean of predictor | 0.240 | ||||
| Mean of criterion | -0.345 | ||||
| SD of predictor | 0.127 | ||||
| SD of criterion | 1.034 | ||||
| Covariance | -0.054 | ||||
| r | -0.410 | ||||
| b (slope, estimate of beta) | -3.336 | ||||
| a (intercept, estimate of alpha) | 0.455 | ||||
| Mean Square Error | 1.000 | ||||
| DF error | 8.000 | ||||
| t(b) | -1.270 | ||||
| p(b) | 0.880 | ||||
| t(a) | 0.360 | ||||
| p(a) | 0.364 | ||||
| Lowerbound of 95% confidence interval for beta | -9.394 | ||||
| Upperbound of 95% confidence interval for beta | 2.722 | ||||
| Lowerbound of 95% confidence interval for alpha | -2.459 | ||||
| Upperbound of 95% confidence interval for alpha | 3.370 | ||||
| Treynor index (mean / b) | 0.103 | ||||
| Jensen alpha (a) | 0.455 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.405 | ||||
| Expected Shortfall on VaR | 0.472 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.262 | ||||
| Expected Shortfall on VaR | 0.481 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 10.000 | ||||
| Minimum | 0.593 | ||||
| Quartile 1 | 0.928 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.149 | ||||
| Maximum | 1.498 | ||||
| Mean of quarter 1 | 0.704 | ||||
| Mean of quarter 2 | 0.992 | ||||
| Mean of quarter 3 | 1.000 | ||||
| Mean of quarter 4 | 1.345 | ||||
| Inter Quartile Range | 0.221 | ||||
| Number outliers low | 1.000 | ||||
| Percentage of outliers low | 0.100 | ||||
| Mean of outliers low | 0.593 | ||||
| Number of outliers high | 1.000 | ||||
| Percentage of outliers high | 0.100 | ||||
| Mean of outliers high | 1.498 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | -2112.260 | ||||
| VaR(95%) (moments method) | 0.225 | ||||
| Expected Shortfall (moments method) | NA | ||||
| Extreme Value Index (regression method) | -5.041 | ||||
| VaR(95%) (regression method) | 1.005 | ||||
| Expected Shortfall (regression method) | 1.006 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 1.000 | ||||
| Minimum | 0.515 | ||||
| Quartile 1 | 0.515 | ||||
| Median | 0.515 | ||||
| Quartile 3 | 0.515 | ||||
| Maximum | 0.515 | ||||
| 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) | -0.266 | ||||
| Compounded annual return (geometric extrapolation) | -0.260 | ||||
| Calmar ratio (compounded annual return / max draw down) | -0.505 | ||||
| Compounded annual return / average of 25% largest draw downs | NA | ||||
| Compounded annual return / Expected Shortfall lognormal | -0.551 | ||||
| ANALYSIS BASED ON DAILY VALUES, FULL HISTORY (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.419 | ||||
| SD | 1.214 | ||||
| Sharpe ratio (Glass type estimate) | 0.345 | ||||
| Sharpe ratio (Hedges UMVUE) | 0.344 | ||||
| df | 295.000 | ||||
| t | 0.320 | ||||
| p | 0.375 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.768 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.458 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -1.769 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 2.457 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 0.502 | ||||
| Upside Potential Ratio | 6.839 | ||||
| Upside part of mean | 5.712 | ||||
| Downside part of mean | -5.293 | ||||
| Upside SD | 0.879 | ||||
| Downside SD | 0.835 | ||||
| N nonnegative terms | 70.000 | ||||
| N negative terms | 226.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 296.000 | ||||
| Mean of predictor | 0.306 | ||||
| Mean of criterion | 0.419 | ||||
| SD of predictor | 0.203 | ||||
| SD of criterion | 1.214 | ||||
| Covariance | 0.000 | ||||
| r | 0.002 | ||||
| b (slope, estimate of beta) | 0.010 | ||||
| a (intercept, estimate of alpha) | 0.416 | ||||
| Mean Square Error | 1.480 | ||||
| DF error | 294.000 | ||||
| t(b) | 0.028 | ||||
| p(b) | 0.489 | ||||
| t(a) | 0.316 | ||||
| p(a) | 0.376 | ||||
| Lowerbound of 95% confidence interval for beta | -0.676 | ||||
| Upperbound of 95% confidence interval for beta | 0.696 | ||||
| Lowerbound of 95% confidence interval for alpha | -2.174 | ||||
| Upperbound of 95% confidence interval for alpha | 3.006 | ||||
| Treynor index (mean / b) | 42.498 | ||||
| Jensen alpha (a) | 0.416 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.336 | ||||
| SD | 1.244 | ||||
| Sharpe ratio (Glass type estimate) | -0.270 | ||||
| Sharpe ratio (Hedges UMVUE) | -0.269 | ||||
| df | 295.000 | ||||
| t | -0.250 | ||||
| p | 0.599 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.382 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.844 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -2.382 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.844 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -0.355 | ||||
| Upside Potential Ratio | 5.677 | ||||
| Upside part of mean | 5.368 | ||||
| Downside part of mean | -5.703 | ||||
| Upside SD | 0.806 | ||||
| Downside SD | 0.946 | ||||
| N nonnegative terms | 70.000 | ||||
| N negative terms | 226.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 296.000 | ||||
| Mean of predictor | 0.286 | ||||
| Mean of criterion | -0.336 | ||||
| SD of predictor | 0.202 | ||||
| SD of criterion | 1.244 | ||||
| Covariance | 0.002 | ||||
| r | 0.006 | ||||
| b (slope, estimate of beta) | 0.038 | ||||
| a (intercept, estimate of alpha) | -0.347 | ||||
| Mean Square Error | 1.554 | ||||
| DF error | 294.000 | ||||
| t(b) | 0.107 | ||||
| p(b) | 0.457 | ||||
| t(a) | -0.257 | ||||
| p(a) | 0.601 | ||||
| Lowerbound of 95% confidence interval for beta | -0.667 | ||||
| Upperbound of 95% confidence interval for beta | 0.744 | ||||
| Lowerbound of 95% confidence interval for alpha | -2.999 | ||||
| Upperbound of 95% confidence interval for alpha | 2.306 | ||||
| Treynor index (mean / b) | -8.724 | ||||
| Jensen alpha (a) | -0.347 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.105 | ||||
| Expected Shortfall on VaR | 0.130 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.045 | ||||
| Expected Shortfall on VaR | 0.096 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 296.000 | ||||
| Minimum | 0.664 | ||||
| Quartile 1 | 0.994 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.000 | ||||
| Maximum | 1.373 | ||||
| Mean of quarter 1 | 0.939 | ||||
| Mean of quarter 2 | 1.000 | ||||
| Mean of quarter 3 | 1.000 | ||||
| Mean of quarter 4 | 1.067 | ||||
| Inter Quartile Range | 0.006 | ||||
| Number outliers low | 64.000 | ||||
| Percentage of outliers low | 0.216 | ||||
| Mean of outliers low | 0.931 | ||||
| Number of outliers high | 61.000 | ||||
| Percentage of outliers high | 0.206 | ||||
| Mean of outliers high | 1.080 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | 0.328 | ||||
| VaR(95%) (moments method) | 0.031 | ||||
| Expected Shortfall (moments method) | 0.060 | ||||
| Extreme Value Index (regression method) | 0.280 | ||||
| VaR(95%) (regression method) | 0.059 | ||||
| Expected Shortfall (regression method) | 0.117 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 1.000 | ||||
| Minimum | 0.682 | ||||
| Quartile 1 | 0.682 | ||||
| Median | 0.682 | ||||
| Quartile 3 | 0.682 | ||||
| Maximum | 0.682 | ||||
| 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) | -0.258 | ||||
| Compounded annual return (geometric extrapolation) | -0.253 | ||||
| Calmar ratio (compounded annual return / max draw down) | -0.371 | ||||
| Compounded annual return / average of 25% largest draw downs | NA | ||||
| Compounded annual return / Expected Shortfall lognormal | -1.948 | ||||
| ANALYSIS BASED ON DAILY VALUES, LAST 6 MONTHS (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 2.410 | ||||
| SD | 1.155 | ||||
| Sharpe ratio (Glass type estimate) | 2.087 | ||||
| Sharpe ratio (Hedges UMVUE) | 2.078 | ||||
| df | 171.000 | ||||
| t | 1.476 | ||||
| p | 0.429 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.696 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 4.865 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -0.702 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 4.859 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 3.507 | ||||
| Upside Potential Ratio | 8.124 | ||||
| Upside part of mean | 5.583 | ||||
| Downside part of mean | -3.173 | ||||
| Upside SD | 0.933 | ||||
| Downside SD | 0.687 | ||||
| N nonnegative terms | 30.000 | ||||
| N negative terms | 142.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 172.000 | ||||
| Mean of predictor | 0.268 | ||||
| Mean of criterion | 2.410 | ||||
| SD of predictor | 0.188 | ||||
| SD of criterion | 1.155 | ||||
| Covariance | -0.017 | ||||
| r | -0.079 | ||||
| b (slope, estimate of beta) | -0.484 | ||||
| a (intercept, estimate of alpha) | 2.540 | ||||
| Mean Square Error | 1.333 | ||||
| DF error | 170.000 | ||||
| t(b) | -1.032 | ||||
| p(b) | 0.539 | ||||
| t(a) | 1.551 | ||||
| p(a) | 0.441 | ||||
| Lowerbound of 95% confidence interval for beta | -1.410 | ||||
| Upperbound of 95% confidence interval for beta | 0.442 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.692 | ||||
| Upperbound of 95% confidence interval for alpha | 5.773 | ||||
| Treynor index (mean / b) | -4.980 | ||||
| Jensen alpha (a) | 2.540 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 1.743 | ||||
| SD | 1.159 | ||||
| Sharpe ratio (Glass type estimate) | 1.504 | ||||
| Sharpe ratio (Hedges UMVUE) | 1.498 | ||||
| df | 171.000 | ||||
| t | 1.064 | ||||
| p | 0.448 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.274 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 4.279 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -1.279 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 4.274 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 2.203 | ||||
| Upside Potential Ratio | 6.572 | ||||
| Upside part of mean | 5.200 | ||||
| Downside part of mean | -3.457 | ||||
| Upside SD | 0.847 | ||||
| Downside SD | 0.791 | ||||
| N nonnegative terms | 30.000 | ||||
| N negative terms | 142.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 172.000 | ||||
| Mean of predictor | 0.251 | ||||
| Mean of criterion | 1.743 | ||||
| SD of predictor | 0.187 | ||||
| SD of criterion | 1.159 | ||||
| Covariance | -0.015 | ||||
| r | -0.070 | ||||
| b (slope, estimate of beta) | -0.431 | ||||
| a (intercept, estimate of alpha) | 1.851 | ||||
| Mean Square Error | 1.344 | ||||
| DF error | 170.000 | ||||
| t(b) | -0.912 | ||||
| p(b) | 0.535 | ||||
| t(a) | 1.126 | ||||
| p(a) | 0.457 | ||||
| Lowerbound of 95% confidence interval for beta | -1.365 | ||||
| Upperbound of 95% confidence interval for beta | 0.502 | ||||
| Lowerbound of 95% confidence interval for alpha | -1.394 | ||||
| Upperbound of 95% confidence interval for alpha | 5.096 | ||||
| Treynor index (mean / b) | -4.043 | ||||
| Jensen alpha (a) | 1.851 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.093 | ||||
| Expected Shortfall on VaR | 0.116 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.028 | ||||
| Expected Shortfall on VaR | 0.063 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 172.000 | ||||
| Minimum | 0.664 | ||||
| Quartile 1 | 1.000 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.000 | ||||
| Maximum | 1.373 | ||||
| Mean of quarter 1 | 0.964 | ||||
| Mean of quarter 2 | 1.000 | ||||
| Mean of quarter 3 | 1.000 | ||||
| Mean of quarter 4 | 1.065 | ||||
| Inter Quartile Range | 0.000 | ||||
| Number outliers low | 25.000 | ||||
| Percentage of outliers low | 0.145 | ||||
| Mean of outliers low | 0.937 | ||||
| Number of outliers high | 30.000 | ||||
| Percentage of outliers high | 0.174 | ||||
| Mean of outliers high | 1.093 | ||||
| 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) | 0.454 | ||||
| VaR(95%) (regression method) | 0.038 | ||||
| Expected Shortfall (regression method) | 0.119 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 4.000 | ||||
| Minimum | 0.110 | ||||
| Quartile 1 | 0.111 | ||||
| Median | 0.248 | ||||
| Quartile 3 | 0.393 | ||||
| Maximum | 0.417 | ||||
| Mean of quarter 1 | 0.110 | ||||
| Mean of quarter 2 | 0.112 | ||||
| Mean of quarter 3 | 0.385 | ||||
| Mean of quarter 4 | 0.417 | ||||
| Inter Quartile Range | 0.282 | ||||
| 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) | 2.888 | ||||
| Compounded annual return (geometric extrapolation) | 4.973 | ||||
| Calmar ratio (compounded annual return / max draw down) | 11.926 | ||||
| Compounded annual return / average of 25% largest draw downs | 11.926 | ||||
| Compounded annual return / Expected Shortfall lognormal | 42.788 | ||||


