Advanced Statistics: constantine
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 | 0.363 | ||||
| SD | 0.765 | ||||
| Sharpe ratio (Glass type estimate) | 0.474 | ||||
| Sharpe ratio (Hedges UMVUE) | 0.465 | ||||
| df | 41.000 | ||||
| t | 0.887 | ||||
| p | 0.190 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.582 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.524 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -0.587 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.518 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 0.815 | ||||
| Upside Potential Ratio | 2.266 | ||||
| Upside part of mean | 1.008 | ||||
| Downside part of mean | -0.646 | ||||
| Upside SD | 0.620 | ||||
| Downside SD | 0.445 | ||||
| N nonnegative terms | 21.000 | ||||
| N negative terms | 21.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 42.000 | ||||
| Mean of predictor | 0.001 | ||||
| Mean of criterion | 0.363 | ||||
| SD of predictor | 0.285 | ||||
| SD of criterion | 0.765 | ||||
| Covariance | -0.057 | ||||
| r | -0.261 | ||||
| b (slope, estimate of beta) | -0.702 | ||||
| a (intercept, estimate of alpha) | 0.363 | ||||
| Mean Square Error | 0.559 | ||||
| DF error | 40.000 | ||||
| t(b) | -1.712 | ||||
| p(b) | 0.953 | ||||
| t(a) | 0.909 | ||||
| p(a) | 0.184 | ||||
| Lowerbound of 95% confidence interval for beta | -1.531 | ||||
| Upperbound of 95% confidence interval for beta | 0.127 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.444 | ||||
| Upperbound of 95% confidence interval for alpha | 1.171 | ||||
| Treynor index (mean / b) | -0.516 | ||||
| Jensen alpha (a) | 0.363 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.067 | ||||
| SD | 0.806 | ||||
| Sharpe ratio (Glass type estimate) | 0.083 | ||||
| Sharpe ratio (Hedges UMVUE) | 0.081 | ||||
| df | 41.000 | ||||
| t | 0.154 | ||||
| p | 0.439 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.966 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.130 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -0.967 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.129 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 0.107 | ||||
| Upside Potential Ratio | 1.383 | ||||
| Upside part of mean | 0.863 | ||||
| Downside part of mean | -0.797 | ||||
| Upside SD | 0.495 | ||||
| Downside SD | 0.624 | ||||
| N nonnegative terms | 21.000 | ||||
| N negative terms | 21.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 42.000 | ||||
| Mean of predictor | -0.041 | ||||
| Mean of criterion | 0.067 | ||||
| SD of predictor | 0.300 | ||||
| SD of criterion | 0.806 | ||||
| Covariance | -0.061 | ||||
| r | -0.253 | ||||
| b (slope, estimate of beta) | -0.680 | ||||
| a (intercept, estimate of alpha) | 0.039 | ||||
| Mean Square Error | 0.623 | ||||
| DF error | 40.000 | ||||
| t(b) | -1.652 | ||||
| p(b) | 0.947 | ||||
| t(a) | 0.091 | ||||
| p(a) | 0.464 | ||||
| Lowerbound of 95% confidence interval for beta | -1.512 | ||||
| Upperbound of 95% confidence interval for beta | 0.152 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.815 | ||||
| Upperbound of 95% confidence interval for alpha | 0.892 | ||||
| Treynor index (mean / b) | -0.098 | ||||
| Jensen alpha (a) | 0.039 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.314 | ||||
| Expected Shortfall on VaR | 0.375 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.122 | ||||
| Expected Shortfall on VaR | 0.255 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 42.000 | ||||
| Minimum | 0.377 | ||||
| Quartile 1 | 0.935 | ||||
| Median | 1.005 | ||||
| Quartile 3 | 1.106 | ||||
| Maximum | 1.841 | ||||
| Mean of quarter 1 | 0.816 | ||||
| Mean of quarter 2 | 0.984 | ||||
| Mean of quarter 3 | 1.052 | ||||
| Mean of quarter 4 | 1.281 | ||||
| Inter Quartile Range | 0.171 | ||||
| Number outliers low | 2.000 | ||||
| Percentage of outliers low | 0.048 | ||||
| Mean of outliers low | 0.513 | ||||
| Number of outliers high | 3.000 | ||||
| Percentage of outliers high | 0.071 | ||||
| Mean of outliers high | 1.557 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | 0.662 | ||||
| VaR(95%) (moments method) | 0.211 | ||||
| Expected Shortfall (moments method) | 0.651 | ||||
| Extreme Value Index (regression method) | 1.094 | ||||
| VaR(95%) (regression method) | 0.192 | ||||
| Expected Shortfall (regression method) | NA | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 3.000 | ||||
| Minimum | 0.025 | ||||
| Quartile 1 | 0.198 | ||||
| Median | 0.370 | ||||
| Quartile 3 | 0.563 | ||||
| Maximum | 0.755 | ||||
| Mean of quarter 1 | 0.025 | ||||
| Mean of quarter 2 | 0.370 | ||||
| Mean of quarter 3 | NA | ||||
| Mean of quarter 4 | 0.755 | ||||
| Inter Quartile Range | 0.365 | ||||
| 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) | 0.135 | ||||
| Compounded annual return (geometric extrapolation) | 0.117 | ||||
| Calmar ratio (compounded annual return / max draw down) | 0.155 | ||||
| Compounded annual return / average of 25% largest draw downs | 0.155 | ||||
| Compounded annual return / Expected Shortfall lognormal | 0.311 | ||||
| ANALYSIS BASED ON DAILY VALUES, FULL HISTORY (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.322 | ||||
| SD | 0.651 | ||||
| Sharpe ratio (Glass type estimate) | 0.495 | ||||
| Sharpe ratio (Hedges UMVUE) | 0.495 | ||||
| df | 1228.000 | ||||
| t | 0.935 | ||||
| p | 0.487 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.542 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.532 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -0.543 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.532 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 0.684 | ||||
| Upside Potential Ratio | 7.375 | ||||
| Upside part of mean | 3.475 | ||||
| Downside part of mean | -3.153 | ||||
| Upside SD | 0.449 | ||||
| Downside SD | 0.471 | ||||
| N nonnegative terms | 555.000 | ||||
| N negative terms | 674.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 1229.000 | ||||
| Mean of predictor | 0.063 | ||||
| Mean of criterion | 0.322 | ||||
| SD of predictor | 0.304 | ||||
| SD of criterion | 0.651 | ||||
| Covariance | -0.035 | ||||
| r | -0.179 | ||||
| b (slope, estimate of beta) | -0.383 | ||||
| a (intercept, estimate of alpha) | 0.346 | ||||
| Mean Square Error | 0.411 | ||||
| DF error | 1227.000 | ||||
| t(b) | -6.362 | ||||
| p(b) | 0.613 | ||||
| t(a) | 1.022 | ||||
| p(a) | 0.481 | ||||
| Lowerbound of 95% confidence interval for beta | -0.501 | ||||
| Upperbound of 95% confidence interval for beta | -0.265 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.319 | ||||
| Upperbound of 95% confidence interval for alpha | 1.012 | ||||
| Treynor index (mean / b) | -0.841 | ||||
| Jensen alpha (a) | 0.346 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.097 | ||||
| SD | 0.686 | ||||
| Sharpe ratio (Glass type estimate) | 0.141 | ||||
| Sharpe ratio (Hedges UMVUE) | 0.141 | ||||
| df | 1228.000 | ||||
| t | 0.267 | ||||
| p | 0.496 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.896 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.178 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -0.896 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.178 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 0.180 | ||||
| Upside Potential Ratio | 6.292 | ||||
| Upside part of mean | 3.381 | ||||
| Downside part of mean | -3.284 | ||||
| Upside SD | 0.425 | ||||
| Downside SD | 0.537 | ||||
| N nonnegative terms | 555.000 | ||||
| N negative terms | 674.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 1229.000 | ||||
| Mean of predictor | 0.017 | ||||
| Mean of criterion | 0.097 | ||||
| SD of predictor | 0.304 | ||||
| SD of criterion | 0.686 | ||||
| Covariance | -0.036 | ||||
| r | -0.172 | ||||
| b (slope, estimate of beta) | -0.389 | ||||
| a (intercept, estimate of alpha) | 0.103 | ||||
| Mean Square Error | 0.456 | ||||
| DF error | 1227.000 | ||||
| t(b) | -6.127 | ||||
| p(b) | 0.609 | ||||
| t(a) | 0.290 | ||||
| p(a) | 0.495 | ||||
| Lowerbound of 95% confidence interval for beta | -0.513 | ||||
| Upperbound of 95% confidence interval for beta | -0.264 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.598 | ||||
| Upperbound of 95% confidence interval for alpha | 0.805 | ||||
| Treynor index (mean / b) | -0.249 | ||||
| Jensen alpha (a) | 0.103 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.059 | ||||
| Expected Shortfall on VaR | 0.073 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.022 | ||||
| Expected Shortfall on VaR | 0.047 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 1229.000 | ||||
| Minimum | 0.603 | ||||
| Quartile 1 | 0.990 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.012 | ||||
| Maximum | 1.321 | ||||
| Mean of quarter 1 | 0.967 | ||||
| Mean of quarter 2 | 0.997 | ||||
| Mean of quarter 3 | 1.004 | ||||
| Mean of quarter 4 | 1.036 | ||||
| Inter Quartile Range | 0.022 | ||||
| Number outliers low | 55.000 | ||||
| Percentage of outliers low | 0.045 | ||||
| Mean of outliers low | 0.918 | ||||
| Number of outliers high | 65.000 | ||||
| Percentage of outliers high | 0.053 | ||||
| Mean of outliers high | 1.080 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | 0.243 | ||||
| VaR(95%) (moments method) | 0.029 | ||||
| Expected Shortfall (moments method) | 0.047 | ||||
| Extreme Value Index (regression method) | 0.151 | ||||
| VaR(95%) (regression method) | 0.029 | ||||
| Expected Shortfall (regression method) | 0.044 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 12.000 | ||||
| Minimum | 0.001 | ||||
| Quartile 1 | 0.048 | ||||
| Median | 0.117 | ||||
| Quartile 3 | 0.168 | ||||
| Maximum | 0.788 | ||||
| Mean of quarter 1 | 0.017 | ||||
| Mean of quarter 2 | 0.091 | ||||
| Mean of quarter 3 | 0.147 | ||||
| Mean of quarter 4 | 0.479 | ||||
| Inter Quartile Range | 0.120 | ||||
| Number outliers low | 0.000 | ||||
| Percentage of outliers low | 0.000 | ||||
| Mean of outliers low | NA | ||||
| Number of outliers high | 2.000 | ||||
| Percentage of outliers high | 0.167 | ||||
| Mean of outliers high | 0.627 | ||||
| Risk estimates based on draw downs (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | -8.811 | ||||
| VaR(95%) (moments method) | 0.426 | ||||
| Expected Shortfall (moments method) | 0.426 | ||||
| Extreme Value Index (regression method) | -0.821 | ||||
| VaR(95%) (regression method) | 0.873 | ||||
| Expected Shortfall (regression method) | 0.997 | ||||
| COMBINED STATISTICS | |||||
| Annualized return (arithmetic extrapolation) | 0.183 | ||||
| Compounded annual return (geometric extrapolation) | 0.151 | ||||
| Calmar ratio (compounded annual return / max draw down) | 0.192 | ||||
| Compounded annual return / average of 25% largest draw downs | 0.316 | ||||
| Compounded annual return / Expected Shortfall lognormal | 2.070 | ||||
| ANALYSIS BASED ON DAILY VALUES, LAST 6 MONTHS (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.424 | ||||
| SD | 0.408 | ||||
| Sharpe ratio (Glass type estimate) | 1.039 | ||||
| Sharpe ratio (Hedges UMVUE) | 1.035 | ||||
| df | 171.000 | ||||
| t | 0.735 | ||||
| p | 0.464 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.736 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 3.812 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -1.739 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 3.809 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 1.624 | ||||
| Upside Potential Ratio | 11.613 | ||||
| Upside part of mean | 3.035 | ||||
| Downside part of mean | -2.610 | ||||
| Upside SD | 0.313 | ||||
| Downside SD | 0.261 | ||||
| N nonnegative terms | 83.000 | ||||
| N negative terms | 89.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 172.000 | ||||
| Mean of predictor | 0.644 | ||||
| Mean of criterion | 0.424 | ||||
| SD of predictor | 0.277 | ||||
| SD of criterion | 0.408 | ||||
| Covariance | -0.042 | ||||
| r | -0.370 | ||||
| b (slope, estimate of beta) | -0.544 | ||||
| a (intercept, estimate of alpha) | 0.775 | ||||
| Mean Square Error | 0.145 | ||||
| DF error | 170.000 | ||||
| t(b) | -5.185 | ||||
| p(b) | 0.685 | ||||
| t(a) | 1.429 | ||||
| p(a) | 0.446 | ||||
| Lowerbound of 95% confidence interval for beta | -0.752 | ||||
| Upperbound of 95% confidence interval for beta | -0.337 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.296 | ||||
| Upperbound of 95% confidence interval for alpha | 1.846 | ||||
| Treynor index (mean / b) | -0.779 | ||||
| Jensen alpha (a) | 0.775 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.342 | ||||
| SD | 0.407 | ||||
| Sharpe ratio (Glass type estimate) | 0.840 | ||||
| Sharpe ratio (Hedges UMVUE) | 0.837 | ||||
| df | 171.000 | ||||
| t | 0.594 | ||||
| p | 0.471 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.934 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 3.612 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -1.937 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 3.610 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 1.286 | ||||
| Upside Potential Ratio | 11.241 | ||||
| Upside part of mean | 2.986 | ||||
| Downside part of mean | -2.645 | ||||
| Upside SD | 0.307 | ||||
| Downside SD | 0.266 | ||||
| N nonnegative terms | 83.000 | ||||
| N negative terms | 89.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 172.000 | ||||
| Mean of predictor | 0.606 | ||||
| Mean of criterion | 0.342 | ||||
| SD of predictor | 0.277 | ||||
| SD of criterion | 0.407 | ||||
| Covariance | -0.042 | ||||
| r | -0.372 | ||||
| b (slope, estimate of beta) | -0.546 | ||||
| a (intercept, estimate of alpha) | 0.672 | ||||
| Mean Square Error | 0.143 | ||||
| DF error | 170.000 | ||||
| t(b) | -5.230 | ||||
| p(b) | 0.686 | ||||
| t(a) | 1.248 | ||||
| p(a) | 0.452 | ||||
| Lowerbound of 95% confidence interval for beta | -0.753 | ||||
| Upperbound of 95% confidence interval for beta | -0.340 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.392 | ||||
| Upperbound of 95% confidence interval for alpha | 1.737 | ||||
| Treynor index (mean / b) | -0.625 | ||||
| Jensen alpha (a) | 0.672 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.034 | ||||
| Expected Shortfall on VaR | 0.043 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.018 | ||||
| Expected Shortfall on VaR | 0.033 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 172.000 | ||||
| Minimum | 0.953 | ||||
| Quartile 1 | 0.990 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.012 | ||||
| Maximum | 1.061 | ||||
| Mean of quarter 1 | 0.975 | ||||
| Mean of quarter 2 | 0.995 | ||||
| Mean of quarter 3 | 1.005 | ||||
| Mean of quarter 4 | 1.030 | ||||
| Inter Quartile Range | 0.021 | ||||
| Number outliers low | 5.000 | ||||
| Percentage of outliers low | 0.029 | ||||
| Mean of outliers low | 0.955 | ||||
| Number of outliers high | 8.000 | ||||
| Percentage of outliers high | 0.047 | ||||
| Mean of outliers high | 1.053 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | -0.883 | ||||
| VaR(95%) (moments method) | 0.024 | ||||
| Expected Shortfall (moments method) | 0.026 | ||||
| Extreme Value Index (regression method) | -0.565 | ||||
| VaR(95%) (regression method) | 0.024 | ||||
| Expected Shortfall (regression method) | 0.028 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 7.000 | ||||
| Minimum | 0.002 | ||||
| Quartile 1 | 0.006 | ||||
| Median | 0.010 | ||||
| Quartile 3 | 0.111 | ||||
| Maximum | 0.180 | ||||
| Mean of quarter 1 | 0.002 | ||||
| Mean of quarter 2 | 0.010 | ||||
| Mean of quarter 3 | 0.102 | ||||
| Mean of quarter 4 | 0.150 | ||||
| Inter Quartile Range | 0.105 | ||||
| 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) | 0.425 | ||||
| Compounded annual return (geometric extrapolation) | 0.471 | ||||
| Calmar ratio (compounded annual return / max draw down) | 2.610 | ||||
| Compounded annual return / average of 25% largest draw downs | 3.137 | ||||
| Compounded annual return / Expected Shortfall lognormal | 10.885 | ||||


