Advanced Statistics: Iron Box .618
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 | -0.371 | ||||
| SD | 1.625 | ||||
| Sharpe ratio (Glass type estimate) | -0.228 | ||||
| Sharpe ratio (Hedges UMVUE) | -0.210 | ||||
| df | 10.000 | ||||
| t | -0.218 | ||||
| p | 0.584 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.272 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.827 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -2.260 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.839 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -0.372 | ||||
| Upside Potential Ratio | 1.552 | ||||
| Upside part of mean | 1.547 | ||||
| Downside part of mean | -1.918 | ||||
| Upside SD | 1.191 | ||||
| Downside SD | 0.996 | ||||
| N nonnegative terms | 2.000 | ||||
| N negative terms | 9.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 11.000 | ||||
| Mean of predictor | 0.032 | ||||
| Mean of criterion | -0.371 | ||||
| SD of predictor | 0.252 | ||||
| SD of criterion | 1.625 | ||||
| Covariance | -0.304 | ||||
| r | -0.742 | ||||
| b (slope, estimate of beta) | -4.780 | ||||
| a (intercept, estimate of alpha) | -0.218 | ||||
| Mean Square Error | 1.317 | ||||
| DF error | 9.000 | ||||
| t(b) | -3.322 | ||||
| p(b) | 0.996 | ||||
| t(a) | -0.182 | ||||
| p(a) | 0.570 | ||||
| Lowerbound of 95% confidence interval for beta | -8.035 | ||||
| Upperbound of 95% confidence interval for beta | -1.526 | ||||
| Lowerbound of 95% confidence interval for alpha | -2.931 | ||||
| Upperbound of 95% confidence interval for alpha | 2.496 | ||||
| Treynor index (mean / b) | 0.078 | ||||
| Jensen alpha (a) | -0.218 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -1.885 | ||||
| SD | 2.020 | ||||
| Sharpe ratio (Glass type estimate) | -0.933 | ||||
| Sharpe ratio (Hedges UMVUE) | -0.861 | ||||
| df | 10.000 | ||||
| t | -0.894 | ||||
| p | 0.804 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.998 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.175 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -2.943 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.220 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -1.034 | ||||
| Upside Potential Ratio | 0.609 | ||||
| Upside part of mean | 1.110 | ||||
| Downside part of mean | -2.995 | ||||
| Upside SD | 0.823 | ||||
| Downside SD | 1.824 | ||||
| N nonnegative terms | 2.000 | ||||
| N negative terms | 9.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 11.000 | ||||
| Mean of predictor | 0.003 | ||||
| Mean of criterion | -1.885 | ||||
| SD of predictor | 0.254 | ||||
| SD of criterion | 2.020 | ||||
| Covariance | -0.354 | ||||
| r | -0.691 | ||||
| b (slope, estimate of beta) | -5.507 | ||||
| a (intercept, estimate of alpha) | -1.870 | ||||
| Mean Square Error | 2.366 | ||||
| DF error | 9.000 | ||||
| t(b) | -2.870 | ||||
| p(b) | 0.991 | ||||
| t(a) | -1.164 | ||||
| p(a) | 0.863 | ||||
| Lowerbound of 95% confidence interval for beta | -9.847 | ||||
| Upperbound of 95% confidence interval for beta | -1.167 | ||||
| Lowerbound of 95% confidence interval for alpha | -5.504 | ||||
| Upperbound of 95% confidence interval for alpha | 1.765 | ||||
| Treynor index (mean / b) | 0.342 | ||||
| Jensen alpha (a) | -1.870 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.672 | ||||
| Expected Shortfall on VaR | 0.738 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.488 | ||||
| Expected Shortfall on VaR | 0.834 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 11.000 | ||||
| Minimum | 0.195 | ||||
| Quartile 1 | 0.758 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.001 | ||||
| Maximum | 2.096 | ||||
| Mean of quarter 1 | 0.515 | ||||
| Mean of quarter 2 | 0.909 | ||||
| Mean of quarter 3 | 1.000 | ||||
| Mean of quarter 4 | 1.476 | ||||
| Inter Quartile Range | 0.244 | ||||
| Number outliers low | 1.000 | ||||
| Percentage of outliers low | 0.091 | ||||
| Mean of outliers low | 0.195 | ||||
| Number of outliers high | 1.000 | ||||
| Percentage of outliers high | 0.091 | ||||
| Mean of outliers high | 2.096 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | 0.445 | ||||
| VaR(95%) (moments method) | 0.582 | ||||
| Expected Shortfall (moments method) | 1.058 | ||||
| Extreme Value Index (regression method) | 6.821 | ||||
| VaR(95%) (regression method) | 2.617 | ||||
| Expected Shortfall (regression method) | NA | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 1.000 | ||||
| Minimum | 0.816 | ||||
| Quartile 1 | 0.816 | ||||
| Median | 0.816 | ||||
| Quartile 3 | 0.816 | ||||
| Maximum | 0.816 | ||||
| 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) | -0.889 | ||||
| Compounded annual return (geometric extrapolation) | -0.841 | ||||
| Calmar ratio (compounded annual return / max draw down) | -1.032 | ||||
| Compounded annual return / average of 25% largest draw downs | NA | ||||
| Compounded annual return / Expected Shortfall lognormal | -1.140 | ||||
| ANALYSIS BASED ON DAILY VALUES, FULL HISTORY (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -1.282 | ||||
| SD | 0.939 | ||||
| Sharpe ratio (Glass type estimate) | -1.365 | ||||
| Sharpe ratio (Hedges UMVUE) | -1.362 | ||||
| df | 338.000 | ||||
| t | -1.355 | ||||
| p | 0.912 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -3.342 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.613 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -3.339 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 0.615 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -1.713 | ||||
| Upside Potential Ratio | 4.220 | ||||
| Upside part of mean | 3.159 | ||||
| Downside part of mean | -4.441 | ||||
| Upside SD | 0.569 | ||||
| Downside SD | 0.749 | ||||
| N nonnegative terms | 80.000 | ||||
| N negative terms | 259.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 339.000 | ||||
| Mean of predictor | 0.206 | ||||
| Mean of criterion | -1.282 | ||||
| SD of predictor | 0.264 | ||||
| SD of criterion | 0.939 | ||||
| Covariance | -0.042 | ||||
| r | -0.169 | ||||
| b (slope, estimate of beta) | -0.600 | ||||
| a (intercept, estimate of alpha) | -1.159 | ||||
| Mean Square Error | 0.859 | ||||
| DF error | 337.000 | ||||
| t(b) | -3.141 | ||||
| p(b) | 0.999 | ||||
| t(a) | -1.240 | ||||
| p(a) | 0.892 | ||||
| Lowerbound of 95% confidence interval for beta | -0.976 | ||||
| Upperbound of 95% confidence interval for beta | -0.224 | ||||
| Lowerbound of 95% confidence interval for alpha | -2.997 | ||||
| Upperbound of 95% confidence interval for alpha | 0.680 | ||||
| Treynor index (mean / b) | 2.137 | ||||
| Jensen alpha (a) | -1.159 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -1.757 | ||||
| SD | 0.992 | ||||
| Sharpe ratio (Glass type estimate) | -1.771 | ||||
| Sharpe ratio (Hedges UMVUE) | -1.767 | ||||
| df | 338.000 | ||||
| t | -1.758 | ||||
| p | 0.960 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -3.748 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.209 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -3.746 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 0.212 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -2.085 | ||||
| Upside Potential Ratio | 3.575 | ||||
| Upside part of mean | 3.011 | ||||
| Downside part of mean | -4.768 | ||||
| Upside SD | 0.530 | ||||
| Downside SD | 0.842 | ||||
| N nonnegative terms | 80.000 | ||||
| N negative terms | 259.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 339.000 | ||||
| Mean of predictor | 0.171 | ||||
| Mean of criterion | -1.757 | ||||
| SD of predictor | 0.264 | ||||
| SD of criterion | 0.992 | ||||
| Covariance | -0.044 | ||||
| r | -0.168 | ||||
| b (slope, estimate of beta) | -0.631 | ||||
| a (intercept, estimate of alpha) | -1.649 | ||||
| Mean Square Error | 0.959 | ||||
| DF error | 337.000 | ||||
| t(b) | -3.130 | ||||
| p(b) | 0.999 | ||||
| t(a) | -1.670 | ||||
| p(a) | 0.952 | ||||
| Lowerbound of 95% confidence interval for beta | -1.028 | ||||
| Upperbound of 95% confidence interval for beta | -0.235 | ||||
| Lowerbound of 95% confidence interval for alpha | -3.590 | ||||
| Upperbound of 95% confidence interval for alpha | 0.293 | ||||
| Treynor index (mean / b) | 2.782 | ||||
| Jensen alpha (a) | -1.649 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.089 | ||||
| Expected Shortfall on VaR | 0.109 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.038 | ||||
| Expected Shortfall on VaR | 0.081 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 339.000 | ||||
| Minimum | 0.701 | ||||
| Quartile 1 | 0.998 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.000 | ||||
| Maximum | 1.252 | ||||
| Mean of quarter 1 | 0.949 | ||||
| Mean of quarter 2 | 1.000 | ||||
| Mean of quarter 3 | 1.000 | ||||
| Mean of quarter 4 | 1.037 | ||||
| Inter Quartile Range | 0.002 | ||||
| Number outliers low | 79.000 | ||||
| Percentage of outliers low | 0.233 | ||||
| Mean of outliers low | 0.945 | ||||
| Number of outliers high | 69.000 | ||||
| Percentage of outliers high | 0.204 | ||||
| Mean of outliers high | 1.045 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | 0.395 | ||||
| VaR(95%) (moments method) | 0.012 | ||||
| Expected Shortfall (moments method) | 0.026 | ||||
| Extreme Value Index (regression method) | 0.134 | ||||
| VaR(95%) (regression method) | 0.040 | ||||
| Expected Shortfall (regression method) | 0.071 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 2.000 | ||||
| Minimum | 0.003 | ||||
| Quartile 1 | 0.206 | ||||
| Median | 0.410 | ||||
| Quartile 3 | 0.614 | ||||
| Maximum | 0.817 | ||||
| Mean of quarter 1 | 0.003 | ||||
| Mean of quarter 2 | NA | ||||
| Mean of quarter 3 | NA | ||||
| Mean of quarter 4 | 0.817 | ||||
| Inter Quartile Range | 0.407 | ||||
| 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) | -0.827 | ||||
| Compounded annual return (geometric extrapolation) | -0.820 | ||||
| Calmar ratio (compounded annual return / max draw down) | -1.003 | ||||
| Compounded annual return / average of 25% largest draw downs | -1.003 | ||||
| Compounded annual return / Expected Shortfall lognormal | -7.530 | ||||
| ANALYSIS BASED ON DAILY VALUES, LAST 6 MONTHS (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -2.629 | ||||
| SD | 0.855 | ||||
| Sharpe ratio (Glass type estimate) | -3.075 | ||||
| Sharpe ratio (Hedges UMVUE) | -3.062 | ||||
| df | 171.000 | ||||
| t | -2.174 | ||||
| p | 0.604 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -5.861 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | -0.280 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -5.852 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -0.271 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -3.141 | ||||
| Upside Potential Ratio | 0.554 | ||||
| Upside part of mean | 0.464 | ||||
| Downside part of mean | -3.093 | ||||
| Upside SD | 0.215 | ||||
| Downside SD | 0.837 | ||||
| N nonnegative terms | 7.000 | ||||
| N negative terms | 165.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 172.000 | ||||
| Mean of predictor | 0.609 | ||||
| Mean of criterion | -2.629 | ||||
| SD of predictor | 0.277 | ||||
| SD of criterion | 0.855 | ||||
| Covariance | -0.034 | ||||
| r | -0.142 | ||||
| b (slope, estimate of beta) | -0.439 | ||||
| a (intercept, estimate of alpha) | -2.362 | ||||
| Mean Square Error | 0.720 | ||||
| DF error | 170.000 | ||||
| t(b) | -1.874 | ||||
| p(b) | 0.571 | ||||
| t(a) | -1.954 | ||||
| p(a) | 0.574 | ||||
| Lowerbound of 95% confidence interval for beta | -0.902 | ||||
| Upperbound of 95% confidence interval for beta | 0.023 | ||||
| Lowerbound of 95% confidence interval for alpha | -4.748 | ||||
| Upperbound of 95% confidence interval for alpha | 0.024 | ||||
| Treynor index (mean / b) | 5.984 | ||||
| Jensen alpha (a) | -2.362 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -3.076 | ||||
| SD | 0.980 | ||||
| Sharpe ratio (Glass type estimate) | -3.139 | ||||
| Sharpe ratio (Hedges UMVUE) | -3.125 | ||||
| df | 171.000 | ||||
| t | -2.220 | ||||
| p | 0.606 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -5.927 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | -0.343 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -5.917 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -0.334 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -3.171 | ||||
| Upside Potential Ratio | 0.456 | ||||
| Upside part of mean | 0.443 | ||||
| Downside part of mean | -3.519 | ||||
| Upside SD | 0.202 | ||||
| Downside SD | 0.970 | ||||
| N nonnegative terms | 7.000 | ||||
| N negative terms | 165.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 172.000 | ||||
| Mean of predictor | 0.570 | ||||
| Mean of criterion | -3.076 | ||||
| SD of predictor | 0.276 | ||||
| SD of criterion | 0.980 | ||||
| Covariance | -0.037 | ||||
| r | -0.137 | ||||
| b (slope, estimate of beta) | -0.488 | ||||
| a (intercept, estimate of alpha) | -2.798 | ||||
| Mean Square Error | 0.948 | ||||
| DF error | 170.000 | ||||
| t(b) | -1.808 | ||||
| p(b) | 0.569 | ||||
| t(a) | -2.020 | ||||
| p(a) | 0.577 | ||||
| Lowerbound of 95% confidence interval for beta | -1.022 | ||||
| Upperbound of 95% confidence interval for beta | 0.045 | ||||
| Lowerbound of 95% confidence interval for alpha | -5.532 | ||||
| Upperbound of 95% confidence interval for alpha | -0.063 | ||||
| Treynor index (mean / b) | 6.298 | ||||
| Jensen alpha (a) | -2.798 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.091 | ||||
| Expected Shortfall on VaR | 0.111 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.030 | ||||
| Expected Shortfall on VaR | 0.068 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 172.000 | ||||
| Minimum | 0.701 | ||||
| Quartile 1 | 1.000 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.000 | ||||
| Maximum | 1.145 | ||||
| Mean of quarter 1 | 0.965 | ||||
| Mean of quarter 2 | 1.000 | ||||
| Mean of quarter 3 | 1.000 | ||||
| Mean of quarter 4 | 1.005 | ||||
| Inter Quartile Range | 0.000 | ||||
| Number outliers low | 10.000 | ||||
| Percentage of outliers low | 0.058 | ||||
| Mean of outliers low | 0.847 | ||||
| Number of outliers high | 7.000 | ||||
| Percentage of outliers high | 0.041 | ||||
| Mean of outliers high | 1.033 | ||||
| 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) | -0.900 | ||||
| VaR(95%) (regression method) | 0.045 | ||||
| Expected Shortfall (regression method) | 0.132 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 3.000 | ||||
| Minimum | 0.003 | ||||
| Quartile 1 | 0.026 | ||||
| Median | 0.049 | ||||
| Quartile 3 | 0.429 | ||||
| Maximum | 0.809 | ||||
| Mean of quarter 1 | 0.003 | ||||
| Mean of quarter 2 | 0.049 | ||||
| Mean of quarter 3 | NA | ||||
| Mean of quarter 4 | 0.809 | ||||
| Inter Quartile Range | 0.403 | ||||
| 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) | -1.561 | ||||
| Compounded annual return (geometric extrapolation) | -0.952 | ||||
| Calmar ratio (compounded annual return / max draw down) | -1.176 | ||||
| Compounded annual return / average of 25% largest draw downs | -1.176 | ||||
| Compounded annual return / Expected Shortfall lognormal | -8.570 | ||||


