Advanced Statistics: MaxProfits
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 | 3.135 | ||||
| SD | 1.598 | ||||
| Sharpe ratio (Glass type estimate) | 1.962 | ||||
| Sharpe ratio (Hedges UMVUE) | 1.771 | ||||
| df | 8.000 | ||||
| t | 1.699 | ||||
| p | 0.064 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.542 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 4.363 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -0.653 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 4.195 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 5.250 | ||||
| Upside Potential Ratio | 6.841 | ||||
| Upside part of mean | 4.086 | ||||
| Downside part of mean | -0.951 | ||||
| Upside SD | 1.653 | ||||
| Downside SD | 0.597 | ||||
| N nonnegative terms | 5.000 | ||||
| N negative terms | 4.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 9.000 | ||||
| Mean of predictor | 0.138 | ||||
| Mean of criterion | 3.135 | ||||
| SD of predictor | 0.183 | ||||
| SD of criterion | 1.598 | ||||
| Covariance | -0.016 | ||||
| r | -0.055 | ||||
| b (slope, estimate of beta) | -0.481 | ||||
| a (intercept, estimate of alpha) | 3.202 | ||||
| Mean Square Error | 2.910 | ||||
| DF error | 7.000 | ||||
| t(b) | -0.146 | ||||
| p(b) | 0.556 | ||||
| t(a) | 1.584 | ||||
| p(a) | 0.079 | ||||
| Lowerbound of 95% confidence interval for beta | -8.255 | ||||
| Upperbound of 95% confidence interval for beta | 7.293 | ||||
| Lowerbound of 95% confidence interval for alpha | -1.579 | ||||
| Upperbound of 95% confidence interval for alpha | 7.983 | ||||
| Treynor index (mean / b) | -6.517 | ||||
| Jensen alpha (a) | 3.202 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 1.940 | ||||
| SD | 1.435 | ||||
| Sharpe ratio (Glass type estimate) | 1.352 | ||||
| Sharpe ratio (Hedges UMVUE) | 1.220 | ||||
| df | 8.000 | ||||
| t | 1.171 | ||||
| p | 0.138 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.042 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 3.669 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -1.121 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 3.561 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 2.536 | ||||
| Upside Potential Ratio | 4.097 | ||||
| Upside part of mean | 3.134 | ||||
| Downside part of mean | -1.194 | ||||
| Upside SD | 1.249 | ||||
| Downside SD | 0.765 | ||||
| N nonnegative terms | 5.000 | ||||
| N negative terms | 4.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 9.000 | ||||
| Mean of predictor | 0.123 | ||||
| Mean of criterion | 1.940 | ||||
| SD of predictor | 0.180 | ||||
| SD of criterion | 1.435 | ||||
| Covariance | -0.020 | ||||
| r | -0.078 | ||||
| b (slope, estimate of beta) | -0.622 | ||||
| a (intercept, estimate of alpha) | 2.016 | ||||
| Mean Square Error | 2.340 | ||||
| DF error | 7.000 | ||||
| t(b) | -0.206 | ||||
| p(b) | 0.579 | ||||
| t(a) | 1.117 | ||||
| p(a) | 0.150 | ||||
| Lowerbound of 95% confidence interval for beta | -7.744 | ||||
| Upperbound of 95% confidence interval for beta | 6.501 | ||||
| Lowerbound of 95% confidence interval for alpha | -2.251 | ||||
| Upperbound of 95% confidence interval for alpha | 6.284 | ||||
| Treynor index (mean / b) | -3.121 | ||||
| Jensen alpha (a) | 2.016 | ||||
| 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 | 0.494 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.168 | ||||
| Expected Shortfall on VaR | 0.344 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 9.000 | ||||
| Minimum | 0.555 | ||||
| Quartile 1 | 1.000 | ||||
| Median | 1.359 | ||||
| Quartile 3 | 1.592 | ||||
| Maximum | 1.924 | ||||
| Mean of quarter 1 | 0.767 | ||||
| Mean of quarter 2 | 1.180 | ||||
| Mean of quarter 3 | 1.563 | ||||
| Mean of quarter 4 | 1.799 | ||||
| Inter Quartile Range | 0.592 | ||||
| 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) | -1.396 | ||||
| VaR(95%) (regression method) | 0.586 | ||||
| Expected Shortfall (regression method) | 0.617 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 1.000 | ||||
| Minimum | 0.445 | ||||
| Quartile 1 | 0.445 | ||||
| Median | 0.445 | ||||
| Quartile 3 | 0.445 | ||||
| Maximum | 0.445 | ||||
| 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) | 4.571 | ||||
| Compounded annual return (geometric extrapolation) | 6.273 | ||||
| Calmar ratio (compounded annual return / max draw down) | 14.085 | ||||
| Compounded annual return / average of 25% largest draw downs | NA | ||||
| Compounded annual return / Expected Shortfall lognormal | 12.688 | ||||
| ANALYSIS BASED ON DAILY VALUES, FULL HISTORY (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 2.420 | ||||
| SD | 1.028 | ||||
| Sharpe ratio (Glass type estimate) | 2.355 | ||||
| Sharpe ratio (Hedges UMVUE) | 2.348 | ||||
| df | 263.000 | ||||
| t | 2.063 | ||||
| p | 0.020 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | 0.106 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 4.599 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 0.102 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 4.594 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 3.856 | ||||
| Upside Potential Ratio | 10.997 | ||||
| Upside part of mean | 6.902 | ||||
| Downside part of mean | -4.482 | ||||
| Upside SD | 0.822 | ||||
| Downside SD | 0.628 | ||||
| N nonnegative terms | 109.000 | ||||
| N negative terms | 155.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 264.000 | ||||
| Mean of predictor | 0.228 | ||||
| Mean of criterion | 2.420 | ||||
| SD of predictor | 0.155 | ||||
| SD of criterion | 1.028 | ||||
| Covariance | -0.018 | ||||
| r | -0.114 | ||||
| b (slope, estimate of beta) | -0.751 | ||||
| a (intercept, estimate of alpha) | 2.591 | ||||
| Mean Square Error | 1.047 | ||||
| DF error | 262.000 | ||||
| t(b) | -1.850 | ||||
| p(b) | 0.967 | ||||
| t(a) | 2.212 | ||||
| p(a) | 0.014 | ||||
| Lowerbound of 95% confidence interval for beta | -1.551 | ||||
| Upperbound of 95% confidence interval for beta | 0.049 | ||||
| Lowerbound of 95% confidence interval for alpha | 0.284 | ||||
| Upperbound of 95% confidence interval for alpha | 4.897 | ||||
| Treynor index (mean / b) | -3.220 | ||||
| Jensen alpha (a) | 2.591 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 1.895 | ||||
| SD | 1.018 | ||||
| Sharpe ratio (Glass type estimate) | 1.861 | ||||
| Sharpe ratio (Hedges UMVUE) | 1.856 | ||||
| df | 263.000 | ||||
| t | 1.630 | ||||
| p | 0.052 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.384 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 4.102 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -0.387 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 4.099 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 2.812 | ||||
| Upside Potential Ratio | 9.782 | ||||
| Upside part of mean | 6.593 | ||||
| Downside part of mean | -4.698 | ||||
| Upside SD | 0.768 | ||||
| Downside SD | 0.674 | ||||
| N nonnegative terms | 109.000 | ||||
| N negative terms | 155.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 264.000 | ||||
| Mean of predictor | 0.215 | ||||
| Mean of criterion | 1.895 | ||||
| SD of predictor | 0.155 | ||||
| SD of criterion | 1.018 | ||||
| Covariance | -0.019 | ||||
| r | -0.118 | ||||
| b (slope, estimate of beta) | -0.777 | ||||
| a (intercept, estimate of alpha) | 2.062 | ||||
| Mean Square Error | 1.026 | ||||
| DF error | 262.000 | ||||
| t(b) | -1.925 | ||||
| p(b) | 0.972 | ||||
| t(a) | 1.778 | ||||
| p(a) | 0.038 | ||||
| Lowerbound of 95% confidence interval for beta | -1.572 | ||||
| Upperbound of 95% confidence interval for beta | 0.018 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.221 | ||||
| Upperbound of 95% confidence interval for alpha | 4.346 | ||||
| Treynor index (mean / b) | -2.438 | ||||
| Jensen alpha (a) | 2.062 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.081 | ||||
| Expected Shortfall on VaR | 0.102 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.033 | ||||
| Expected Shortfall on VaR | 0.069 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 264.000 | ||||
| Minimum | 0.765 | ||||
| Quartile 1 | 0.992 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.024 | ||||
| Maximum | 1.314 | ||||
| Mean of quarter 1 | 0.949 | ||||
| Mean of quarter 2 | 0.999 | ||||
| Mean of quarter 3 | 1.008 | ||||
| Mean of quarter 4 | 1.073 | ||||
| Inter Quartile Range | 0.032 | ||||
| Number outliers low | 22.000 | ||||
| Percentage of outliers low | 0.083 | ||||
| Mean of outliers low | 0.901 | ||||
| Number of outliers high | 27.000 | ||||
| Percentage of outliers high | 0.102 | ||||
| Mean of outliers high | 1.118 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | 0.329 | ||||
| VaR(95%) (moments method) | 0.034 | ||||
| Expected Shortfall (moments method) | 0.065 | ||||
| Extreme Value Index (regression method) | 0.149 | ||||
| VaR(95%) (regression method) | 0.052 | ||||
| Expected Shortfall (regression method) | 0.087 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 11.000 | ||||
| Minimum | 0.002 | ||||
| Quartile 1 | 0.015 | ||||
| Median | 0.054 | ||||
| Quartile 3 | 0.130 | ||||
| Maximum | 0.559 | ||||
| Mean of quarter 1 | 0.008 | ||||
| Mean of quarter 2 | 0.031 | ||||
| Mean of quarter 3 | 0.108 | ||||
| Mean of quarter 4 | 0.326 | ||||
| Inter Quartile Range | 0.115 | ||||
| Number outliers low | 0.000 | ||||
| Percentage of outliers low | 0.000 | ||||
| Mean of outliers low | NA | ||||
| Number of outliers high | 1.000 | ||||
| Percentage of outliers high | 0.091 | ||||
| Mean of outliers high | 0.559 | ||||
| Risk estimates based on draw downs (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | -3.750 | ||||
| VaR(95%) (moments method) | 0.317 | ||||
| Expected Shortfall (moments method) | 0.319 | ||||
| Extreme Value Index (regression method) | -0.157 | ||||
| VaR(95%) (regression method) | 0.596 | ||||
| Expected Shortfall (regression method) | 0.814 | ||||
| COMBINED STATISTICS | |||||
| Annualized return (arithmetic extrapolation) | 4.468 | ||||
| Compounded annual return (geometric extrapolation) | 5.952 | ||||
| Calmar ratio (compounded annual return / max draw down) | 10.641 | ||||
| Compounded annual return / average of 25% largest draw downs | 18.246 | ||||
| Compounded annual return / Expected Shortfall lognormal | 58.377 | ||||
| ANALYSIS BASED ON DAILY VALUES, LAST 6 MONTHS (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.500 | ||||
| SD | 0.960 | ||||
| Sharpe ratio (Glass type estimate) | 0.521 | ||||
| Sharpe ratio (Hedges UMVUE) | 0.518 | ||||
| df | 171.000 | ||||
| t | 0.368 | ||||
| p | 0.482 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.252 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 3.292 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -2.254 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 3.291 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 0.724 | ||||
| Upside Potential Ratio | 7.944 | ||||
| Upside part of mean | 5.484 | ||||
| Downside part of mean | -4.984 | ||||
| Upside SD | 0.664 | ||||
| Downside SD | 0.690 | ||||
| N nonnegative terms | 56.000 | ||||
| N negative terms | 116.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 172.000 | ||||
| Mean of predictor | 0.427 | ||||
| Mean of criterion | 0.500 | ||||
| SD of predictor | 0.164 | ||||
| SD of criterion | 0.960 | ||||
| Covariance | -0.013 | ||||
| r | -0.080 | ||||
| b (slope, estimate of beta) | -0.469 | ||||
| a (intercept, estimate of alpha) | 0.700 | ||||
| Mean Square Error | 0.921 | ||||
| DF error | 170.000 | ||||
| t(b) | -1.049 | ||||
| p(b) | 0.540 | ||||
| t(a) | 0.511 | ||||
| p(a) | 0.480 | ||||
| Lowerbound of 95% confidence interval for beta | -1.352 | ||||
| Upperbound of 95% confidence interval for beta | 0.414 | ||||
| Lowerbound of 95% confidence interval for alpha | -2.005 | ||||
| Upperbound of 95% confidence interval for alpha | 3.406 | ||||
| Treynor index (mean / b) | -1.066 | ||||
| Jensen alpha (a) | 0.700 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.030 | ||||
| SD | 0.980 | ||||
| Sharpe ratio (Glass type estimate) | 0.030 | ||||
| Sharpe ratio (Hedges UMVUE) | 0.030 | ||||
| df | 171.000 | ||||
| t | 0.022 | ||||
| p | 0.499 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.741 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.802 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -2.741 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 2.802 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 0.040 | ||||
| Upside Potential Ratio | 7.074 | ||||
| Upside part of mean | 5.277 | ||||
| Downside part of mean | -5.247 | ||||
| Upside SD | 0.631 | ||||
| Downside SD | 0.746 | ||||
| N nonnegative terms | 56.000 | ||||
| N negative terms | 116.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 172.000 | ||||
| Mean of predictor | 0.414 | ||||
| Mean of criterion | 0.030 | ||||
| SD of predictor | 0.163 | ||||
| SD of criterion | 0.980 | ||||
| Covariance | -0.014 | ||||
| r | -0.089 | ||||
| b (slope, estimate of beta) | -0.536 | ||||
| a (intercept, estimate of alpha) | 0.252 | ||||
| Mean Square Error | 0.958 | ||||
| DF error | 170.000 | ||||
| t(b) | -1.170 | ||||
| p(b) | 0.545 | ||||
| t(a) | 0.180 | ||||
| p(a) | 0.493 | ||||
| Lowerbound of 95% confidence interval for beta | -1.441 | ||||
| Upperbound of 95% confidence interval for beta | 0.368 | ||||
| Lowerbound of 95% confidence interval for alpha | -2.507 | ||||
| Upperbound of 95% confidence interval for alpha | 3.010 | ||||
| Treynor index (mean / b) | -0.056 | ||||
| Jensen alpha (a) | 0.252 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.083 | ||||
| Expected Shortfall on VaR | 0.103 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.040 | ||||
| Expected Shortfall on VaR | 0.082 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 172.000 | ||||
| Minimum | 0.765 | ||||
| Quartile 1 | 0.991 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.019 | ||||
| Maximum | 1.200 | ||||
| Mean of quarter 1 | 0.943 | ||||
| Mean of quarter 2 | 0.999 | ||||
| Mean of quarter 3 | 1.003 | ||||
| Mean of quarter 4 | 1.061 | ||||
| Inter Quartile Range | 0.029 | ||||
| Number outliers low | 16.000 | ||||
| Percentage of outliers low | 0.093 | ||||
| Mean of outliers low | 0.898 | ||||
| Number of outliers high | 18.000 | ||||
| Percentage of outliers high | 0.105 | ||||
| Mean of outliers high | 1.096 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | -0.029 | ||||
| VaR(95%) (moments method) | 0.034 | ||||
| Expected Shortfall (moments method) | 0.048 | ||||
| Extreme Value Index (regression method) | 0.141 | ||||
| VaR(95%) (regression method) | 0.062 | ||||
| Expected Shortfall (regression method) | 0.105 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 3.000 | ||||
| Minimum | 0.054 | ||||
| Quartile 1 | 0.090 | ||||
| Median | 0.127 | ||||
| Quartile 3 | 0.343 | ||||
| Maximum | 0.559 | ||||
| Mean of quarter 1 | 0.054 | ||||
| Mean of quarter 2 | 0.127 | ||||
| Mean of quarter 3 | NA | ||||
| Mean of quarter 4 | 0.559 | ||||
| Inter Quartile Range | 0.253 | ||||
| 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) | 0.075 | ||||
| Compounded annual return (geometric extrapolation) | 0.077 | ||||
| Calmar ratio (compounded annual return / max draw down) | 0.137 | ||||
| Compounded annual return / average of 25% largest draw downs | 0.137 | ||||
| Compounded annual return / Expected Shortfall lognormal | 0.744 | ||||


