Advanced Statistics: CYCLE
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 | -0.090 | ||||
| SD | 0.028 | ||||
| Sharpe ratio (Glass type estimate) | -3.157 | ||||
| Sharpe ratio (Hedges UMVUE) | -2.284 | ||||
| df | 3.000 | ||||
| t | -1.823 | ||||
| p | 0.917 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -7.164 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.156 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -6.140 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.571 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -2.511 | ||||
| Upside Potential Ratio | 0.000 | ||||
| Upside part of mean | 0.000 | ||||
| Downside part of mean | -0.090 | ||||
| Upside SD | 0.000 | ||||
| Downside SD | 0.036 | ||||
| N nonnegative terms | 0.000 | ||||
| N negative terms | 4.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 4.000 | ||||
| Mean of predictor | 0.663 | ||||
| Mean of criterion | -0.090 | ||||
| SD of predictor | 0.292 | ||||
| SD of criterion | 0.028 | ||||
| Covariance | 0.003 | ||||
| r | 0.401 | ||||
| b (slope, estimate of beta) | 0.039 | ||||
| a (intercept, estimate of alpha) | -0.116 | ||||
| Mean Square Error | 0.001 | ||||
| DF error | 2.000 | ||||
| t(b) | 0.619 | ||||
| p(b) | 0.299 | ||||
| t(a) | -1.669 | ||||
| p(a) | 0.882 | ||||
| Lowerbound of 95% confidence interval for beta | -0.232 | ||||
| Upperbound of 95% confidence interval for beta | 0.311 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.415 | ||||
| Upperbound of 95% confidence interval for alpha | 0.183 | ||||
| Treynor index (mean / b) | -2.301 | ||||
| Jensen alpha (a) | -0.116 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.090 | ||||
| SD | 0.029 | ||||
| Sharpe ratio (Glass type estimate) | -3.145 | ||||
| Sharpe ratio (Hedges UMVUE) | -2.276 | ||||
| df | 3.000 | ||||
| t | -1.816 | ||||
| p | 0.916 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -7.147 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.162 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -6.128 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.577 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -2.507 | ||||
| Upside Potential Ratio | 0.000 | ||||
| Upside part of mean | 0.000 | ||||
| Downside part of mean | -0.090 | ||||
| Upside SD | 0.000 | ||||
| Downside SD | 0.036 | ||||
| N nonnegative terms | 0.000 | ||||
| N negative terms | 4.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 4.000 | ||||
| Mean of predictor | 0.616 | ||||
| Mean of criterion | -0.090 | ||||
| SD of predictor | 0.269 | ||||
| SD of criterion | 0.029 | ||||
| Covariance | 0.003 | ||||
| r | 0.417 | ||||
| b (slope, estimate of beta) | 0.045 | ||||
| a (intercept, estimate of alpha) | -0.118 | ||||
| Mean Square Error | 0.001 | ||||
| DF error | 2.000 | ||||
| t(b) | 0.649 | ||||
| p(b) | 0.291 | ||||
| t(a) | -1.690 | ||||
| p(a) | 0.883 | ||||
| Lowerbound of 95% confidence interval for beta | -0.251 | ||||
| Upperbound of 95% confidence interval for beta | 0.340 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.417 | ||||
| Upperbound of 95% confidence interval for alpha | 0.182 | ||||
| Treynor index (mean / b) | -2.024 | ||||
| Jensen alpha (a) | -0.118 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.021 | ||||
| Expected Shortfall on VaR | 0.024 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.022 | ||||
| Expected Shortfall on VaR | 0.028 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 4.000 | ||||
| Minimum | 0.984 | ||||
| Quartile 1 | 0.995 | ||||
| Median | 0.999 | ||||
| Quartile 3 | 1.000 | ||||
| Maximum | 1.003 | ||||
| Mean of quarter 1 | 0.984 | ||||
| Mean of quarter 2 | 0.999 | ||||
| Mean of quarter 3 | 0.999 | ||||
| Mean of quarter 4 | 1.003 | ||||
| Inter Quartile Range | 0.005 | ||||
| Number outliers low | 1.000 | ||||
| Percentage of outliers low | 0.250 | ||||
| Mean of outliers low | 0.984 | ||||
| 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 | 0.017 | ||||
| Quartile 1 | 0.017 | ||||
| Median | 0.017 | ||||
| Quartile 3 | 0.017 | ||||
| Maximum | 0.017 | ||||
| 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) | -0.046 | ||||
| Compounded annual return (geometric extrapolation) | -0.045 | ||||
| Calmar ratio (compounded annual return / max draw down) | -2.691 | ||||
| Compounded annual return / average of 25% largest draw downs | NA | ||||
| Compounded annual return / Expected Shortfall lognormal | -1.859 | ||||
| ANALYSIS BASED ON DAILY VALUES, FULL HISTORY (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.082 | ||||
| SD | 0.126 | ||||
| Sharpe ratio (Glass type estimate) | -0.655 | ||||
| Sharpe ratio (Hedges UMVUE) | -0.651 | ||||
| df | 114.000 | ||||
| t | -0.379 | ||||
| p | 0.518 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -4.045 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.737 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -4.042 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 2.740 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -0.957 | ||||
| Upside Potential Ratio | 8.853 | ||||
| Upside part of mean | 0.762 | ||||
| Downside part of mean | -0.844 | ||||
| Upside SD | 0.091 | ||||
| Downside SD | 0.086 | ||||
| N nonnegative terms | 47.000 | ||||
| N negative terms | 68.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 115.000 | ||||
| Mean of predictor | 0.638 | ||||
| Mean of criterion | -0.082 | ||||
| SD of predictor | 0.219 | ||||
| SD of criterion | 0.126 | ||||
| Covariance | 0.010 | ||||
| r | 0.377 | ||||
| b (slope, estimate of beta) | 0.216 | ||||
| a (intercept, estimate of alpha) | -0.220 | ||||
| Mean Square Error | 0.014 | ||||
| DF error | 113.000 | ||||
| t(b) | 4.326 | ||||
| p(b) | 0.266 | ||||
| t(a) | -1.077 | ||||
| p(a) | 0.564 | ||||
| Lowerbound of 95% confidence interval for beta | 0.117 | ||||
| Upperbound of 95% confidence interval for beta | 0.315 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.626 | ||||
| Upperbound of 95% confidence interval for alpha | 0.185 | ||||
| Treynor index (mean / b) | -0.381 | ||||
| Jensen alpha (a) | -0.220 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.090 | ||||
| SD | 0.125 | ||||
| Sharpe ratio (Glass type estimate) | -0.719 | ||||
| Sharpe ratio (Hedges UMVUE) | -0.714 | ||||
| df | 114.000 | ||||
| t | -0.415 | ||||
| p | 0.519 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -4.108 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.674 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -4.105 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 2.677 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -1.041 | ||||
| Upside Potential Ratio | 8.753 | ||||
| Upside part of mean | 0.758 | ||||
| Downside part of mean | -0.848 | ||||
| Upside SD | 0.090 | ||||
| Downside SD | 0.087 | ||||
| N nonnegative terms | 47.000 | ||||
| N negative terms | 68.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 115.000 | ||||
| Mean of predictor | 0.614 | ||||
| Mean of criterion | -0.090 | ||||
| SD of predictor | 0.218 | ||||
| SD of criterion | 0.125 | ||||
| Covariance | 0.010 | ||||
| r | 0.376 | ||||
| b (slope, estimate of beta) | 0.216 | ||||
| a (intercept, estimate of alpha) | -0.223 | ||||
| Mean Square Error | 0.014 | ||||
| DF error | 113.000 | ||||
| t(b) | 4.311 | ||||
| p(b) | 0.267 | ||||
| t(a) | -1.090 | ||||
| p(a) | 0.565 | ||||
| Lowerbound of 95% confidence interval for beta | 0.117 | ||||
| Upperbound of 95% confidence interval for beta | 0.315 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.627 | ||||
| Upperbound of 95% confidence interval for alpha | 0.182 | ||||
| Treynor index (mean / b) | -0.417 | ||||
| Jensen alpha (a) | -0.223 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.011 | ||||
| Expected Shortfall on VaR | 0.014 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.006 | ||||
| Expected Shortfall on VaR | 0.012 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 115.000 | ||||
| Minimum | 0.981 | ||||
| Quartile 1 | 0.997 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.003 | ||||
| Maximum | 1.022 | ||||
| Mean of quarter 1 | 0.992 | ||||
| Mean of quarter 2 | 0.999 | ||||
| Mean of quarter 3 | 1.001 | ||||
| Mean of quarter 4 | 1.008 | ||||
| Inter Quartile Range | 0.006 | ||||
| Number outliers low | 5.000 | ||||
| Percentage of outliers low | 0.043 | ||||
| Mean of outliers low | 0.985 | ||||
| Number of outliers high | 7.000 | ||||
| Percentage of outliers high | 0.061 | ||||
| Mean of outliers high | 1.017 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | -0.472 | ||||
| VaR(95%) (moments method) | 0.008 | ||||
| Expected Shortfall (moments method) | 0.009 | ||||
| Extreme Value Index (regression method) | -0.292 | ||||
| VaR(95%) (regression method) | 0.008 | ||||
| Expected Shortfall (regression method) | 0.010 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 3.000 | ||||
| Minimum | 0.020 | ||||
| Quartile 1 | 0.031 | ||||
| Median | 0.042 | ||||
| Quartile 3 | 0.055 | ||||
| Maximum | 0.067 | ||||
| Mean of quarter 1 | 0.020 | ||||
| Mean of quarter 2 | 0.042 | ||||
| Mean of quarter 3 | NA | ||||
| Mean of quarter 4 | 0.067 | ||||
| Inter Quartile Range | 0.024 | ||||
| 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) | -0.046 | ||||
| Compounded annual return (geometric extrapolation) | -0.045 | ||||
| Calmar ratio (compounded annual return / max draw down) | -0.669 | ||||
| Compounded annual return / average of 25% largest draw downs | -0.669 | ||||
| Compounded annual return / Expected Shortfall lognormal | -3.194 | ||||


