Advanced Statistics: Will Oli Forex
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 | 0.565 | ||||
| Sharpe ratio (Glass type estimate) | -0.159 | ||||
| Sharpe ratio (Hedges UMVUE) | -0.134 | ||||
| df | 5.000 | ||||
| t | -0.112 | ||||
| p | 0.543 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.925 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.622 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -2.907 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 2.639 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -0.219 | ||||
| Upside Potential Ratio | 1.498 | ||||
| Upside part of mean | 0.614 | ||||
| Downside part of mean | -0.704 | ||||
| Upside SD | 0.315 | ||||
| Downside SD | 0.410 | ||||
| N nonnegative terms | 2.000 | ||||
| N negative terms | 4.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 6.000 | ||||
| Mean of predictor | 0.037 | ||||
| Mean of criterion | -0.090 | ||||
| SD of predictor | 0.133 | ||||
| SD of criterion | 0.565 | ||||
| Covariance | -0.060 | ||||
| r | -0.790 | ||||
| b (slope, estimate of beta) | -3.344 | ||||
| a (intercept, estimate of alpha) | 0.034 | ||||
| Mean Square Error | 0.150 | ||||
| DF error | 4.000 | ||||
| t(b) | -2.575 | ||||
| p(b) | 0.969 | ||||
| t(a) | 0.062 | ||||
| p(a) | 0.477 | ||||
| Lowerbound of 95% confidence interval for beta | -6.951 | ||||
| Upperbound of 95% confidence interval for beta | 0.263 | ||||
| Lowerbound of 95% confidence interval for alpha | -1.494 | ||||
| Upperbound of 95% confidence interval for alpha | 1.563 | ||||
| Treynor index (mean / b) | 0.027 | ||||
| Jensen alpha (a) | 0.034 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.236 | ||||
| SD | 0.608 | ||||
| Sharpe ratio (Glass type estimate) | -0.389 | ||||
| Sharpe ratio (Hedges UMVUE) | -0.327 | ||||
| df | 5.000 | ||||
| t | -0.275 | ||||
| p | 0.603 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -3.152 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.411 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -3.106 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 2.452 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -0.495 | ||||
| Upside Potential Ratio | 1.188 | ||||
| Upside part of mean | 0.567 | ||||
| Downside part of mean | -0.804 | ||||
| Upside SD | 0.290 | ||||
| Downside SD | 0.478 | ||||
| N nonnegative terms | 2.000 | ||||
| N negative terms | 4.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 6.000 | ||||
| Mean of predictor | 0.029 | ||||
| Mean of criterion | -0.236 | ||||
| SD of predictor | 0.135 | ||||
| SD of criterion | 0.608 | ||||
| Covariance | -0.062 | ||||
| r | -0.762 | ||||
| b (slope, estimate of beta) | -3.434 | ||||
| a (intercept, estimate of alpha) | -0.135 | ||||
| Mean Square Error | 0.194 | ||||
| DF error | 4.000 | ||||
| t(b) | -2.353 | ||||
| p(b) | 0.961 | ||||
| t(a) | -0.217 | ||||
| p(a) | 0.581 | ||||
| Lowerbound of 95% confidence interval for beta | -7.487 | ||||
| Upperbound of 95% confidence interval for beta | 0.619 | ||||
| Lowerbound of 95% confidence interval for alpha | -1.867 | ||||
| Upperbound of 95% confidence interval for alpha | 1.597 | ||||
| Treynor index (mean / b) | 0.069 | ||||
| Jensen alpha (a) | -0.135 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.265 | ||||
| Expected Shortfall on VaR | 0.316 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.161 | ||||
| Expected Shortfall on VaR | 0.301 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 6.000 | ||||
| Minimum | 0.720 | ||||
| Quartile 1 | 0.959 | ||||
| Median | 0.998 | ||||
| Quartile 3 | 1.092 | ||||
| Maximum | 1.192 | ||||
| Mean of quarter 1 | 0.833 | ||||
| Mean of quarter 2 | 0.996 | ||||
| Mean of quarter 3 | 1.000 | ||||
| Mean of quarter 4 | 1.157 | ||||
| Inter Quartile Range | 0.133 | ||||
| Number outliers low | 1.000 | ||||
| Percentage of outliers low | 0.167 | ||||
| Mean of outliers low | 0.720 | ||||
| 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 | 2.000 | ||||
| Minimum | 0.053 | ||||
| Quartile 1 | 0.110 | ||||
| Median | 0.168 | ||||
| Quartile 3 | 0.226 | ||||
| Maximum | 0.283 | ||||
| Mean of quarter 1 | 0.053 | ||||
| Mean of quarter 2 | NA | ||||
| Mean of quarter 3 | NA | ||||
| Mean of quarter 4 | 0.283 | ||||
| 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 | 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) | -0.183 | ||||
| Compounded annual return (geometric extrapolation) | -0.175 | ||||
| Calmar ratio (compounded annual return / max draw down) | -0.618 | ||||
| Compounded annual return / average of 25% largest draw downs | -0.618 | ||||
| Compounded annual return / Expected Shortfall lognormal | -0.554 | ||||
| ANALYSIS BASED ON DAILY VALUES, FULL HISTORY (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.009 | ||||
| SD | 0.670 | ||||
| Sharpe ratio (Glass type estimate) | 0.014 | ||||
| Sharpe ratio (Hedges UMVUE) | 0.014 | ||||
| df | 195.000 | ||||
| t | 0.010 | ||||
| p | 0.500 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.583 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.610 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -2.583 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 2.610 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 0.020 | ||||
| Upside Potential Ratio | 6.785 | ||||
| Upside part of mean | 3.086 | ||||
| Downside part of mean | -3.077 | ||||
| Upside SD | 0.489 | ||||
| Downside SD | 0.455 | ||||
| N nonnegative terms | 43.000 | ||||
| N negative terms | 153.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 196.000 | ||||
| Mean of predictor | 0.307 | ||||
| Mean of criterion | 0.009 | ||||
| SD of predictor | 0.177 | ||||
| SD of criterion | 0.670 | ||||
| Covariance | -0.011 | ||||
| r | -0.094 | ||||
| b (slope, estimate of beta) | -0.354 | ||||
| a (intercept, estimate of alpha) | 0.118 | ||||
| Mean Square Error | 0.447 | ||||
| DF error | 194.000 | ||||
| t(b) | -1.309 | ||||
| p(b) | 0.547 | ||||
| t(a) | 0.133 | ||||
| p(a) | 0.495 | ||||
| Lowerbound of 95% confidence interval for beta | -0.886 | ||||
| Upperbound of 95% confidence interval for beta | 0.179 | ||||
| Lowerbound of 95% confidence interval for alpha | -1.637 | ||||
| Upperbound of 95% confidence interval for alpha | 1.872 | ||||
| Treynor index (mean / b) | -0.026 | ||||
| Jensen alpha (a) | 0.118 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.213 | ||||
| SD | 0.668 | ||||
| Sharpe ratio (Glass type estimate) | -0.319 | ||||
| Sharpe ratio (Hedges UMVUE) | -0.317 | ||||
| df | 195.000 | ||||
| t | -0.241 | ||||
| p | 0.511 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.915 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.278 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -2.914 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 2.279 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -0.446 | ||||
| Upside Potential Ratio | 6.232 | ||||
| Upside part of mean | 2.974 | ||||
| Downside part of mean | -3.187 | ||||
| Upside SD | 0.465 | ||||
| Downside SD | 0.477 | ||||
| N nonnegative terms | 43.000 | ||||
| N negative terms | 153.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 196.000 | ||||
| Mean of predictor | 0.291 | ||||
| Mean of criterion | -0.213 | ||||
| SD of predictor | 0.177 | ||||
| SD of criterion | 0.668 | ||||
| Covariance | -0.011 | ||||
| r | -0.092 | ||||
| b (slope, estimate of beta) | -0.347 | ||||
| a (intercept, estimate of alpha) | -0.112 | ||||
| Mean Square Error | 0.445 | ||||
| DF error | 194.000 | ||||
| t(b) | -1.282 | ||||
| p(b) | 0.546 | ||||
| t(a) | -0.126 | ||||
| p(a) | 0.505 | ||||
| Lowerbound of 95% confidence interval for beta | -0.880 | ||||
| Upperbound of 95% confidence interval for beta | 0.187 | ||||
| Lowerbound of 95% confidence interval for alpha | -1.862 | ||||
| Upperbound of 95% confidence interval for alpha | 1.638 | ||||
| Treynor index (mean / b) | 0.614 | ||||
| Jensen alpha (a) | -0.112 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.058 | ||||
| Expected Shortfall on VaR | 0.072 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.027 | ||||
| Expected Shortfall on VaR | 0.055 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 196.000 | ||||
| Minimum | 0.858 | ||||
| Quartile 1 | 0.999 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.000 | ||||
| Maximum | 1.170 | ||||
| Mean of quarter 1 | 0.965 | ||||
| Mean of quarter 2 | 1.000 | ||||
| Mean of quarter 3 | 1.000 | ||||
| Mean of quarter 4 | 1.036 | ||||
| Inter Quartile Range | 0.001 | ||||
| Number outliers low | 47.000 | ||||
| Percentage of outliers low | 0.240 | ||||
| Mean of outliers low | 0.963 | ||||
| Number of outliers high | 41.000 | ||||
| Percentage of outliers high | 0.209 | ||||
| Mean of outliers high | 1.043 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | 0.350 | ||||
| VaR(95%) (moments method) | 0.011 | ||||
| Expected Shortfall (moments method) | 0.023 | ||||
| Extreme Value Index (regression method) | 0.058 | ||||
| VaR(95%) (regression method) | 0.033 | ||||
| Expected Shortfall (regression method) | 0.055 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 6.000 | ||||
| Minimum | 0.002 | ||||
| Quartile 1 | 0.040 | ||||
| Median | 0.099 | ||||
| Quartile 3 | 0.255 | ||||
| Maximum | 0.357 | ||||
| Mean of quarter 1 | 0.018 | ||||
| Mean of quarter 2 | 0.057 | ||||
| Mean of quarter 3 | 0.141 | ||||
| Mean of quarter 4 | 0.325 | ||||
| Inter Quartile Range | 0.215 | ||||
| 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) | -0.161 | ||||
| Compounded annual return (geometric extrapolation) | -0.155 | ||||
| Calmar ratio (compounded annual return / max draw down) | -0.435 | ||||
| Compounded annual return / average of 25% largest draw downs | -0.478 | ||||
| Compounded annual return / Expected Shortfall lognormal | -2.155 | ||||
| ANALYSIS BASED ON DAILY VALUES, LAST 6 MONTHS (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.009 | ||||
| SD | 0.702 | ||||
| Sharpe ratio (Glass type estimate) | 0.013 | ||||
| Sharpe ratio (Hedges UMVUE) | 0.013 | ||||
| df | 171.000 | ||||
| t | 0.009 | ||||
| p | 0.500 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.759 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.785 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -2.759 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 2.785 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 0.020 | ||||
| Upside Potential Ratio | 6.816 | ||||
| Upside part of mean | 3.227 | ||||
| Downside part of mean | -3.218 | ||||
| Upside SD | 0.515 | ||||
| Downside SD | 0.474 | ||||
| N nonnegative terms | 36.000 | ||||
| N negative terms | 136.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 172.000 | ||||
| Mean of predictor | 0.296 | ||||
| Mean of criterion | 0.009 | ||||
| SD of predictor | 0.186 | ||||
| SD of criterion | 0.702 | ||||
| Covariance | -0.012 | ||||
| r | -0.090 | ||||
| b (slope, estimate of beta) | -0.339 | ||||
| a (intercept, estimate of alpha) | 0.110 | ||||
| Mean Square Error | 0.491 | ||||
| DF error | 170.000 | ||||
| t(b) | -1.174 | ||||
| p(b) | 0.545 | ||||
| t(a) | 0.110 | ||||
| p(a) | 0.496 | ||||
| Lowerbound of 95% confidence interval for beta | -0.908 | ||||
| Upperbound of 95% confidence interval for beta | 0.231 | ||||
| Lowerbound of 95% confidence interval for alpha | -1.855 | ||||
| Upperbound of 95% confidence interval for alpha | 2.074 | ||||
| Treynor index (mean / b) | -0.027 | ||||
| Jensen alpha (a) | 0.110 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.234 | ||||
| SD | 0.700 | ||||
| Sharpe ratio (Glass type estimate) | -0.335 | ||||
| Sharpe ratio (Hedges UMVUE) | -0.333 | ||||
| df | 171.000 | ||||
| t | -0.237 | ||||
| p | 0.512 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -3.107 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.438 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -3.105 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 2.439 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -0.471 | ||||
| Upside Potential Ratio | 6.240 | ||||
| Upside part of mean | 3.103 | ||||
| Downside part of mean | -3.337 | ||||
| Upside SD | 0.490 | ||||
| Downside SD | 0.497 | ||||
| N nonnegative terms | 36.000 | ||||
| N negative terms | 136.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 172.000 | ||||
| Mean of predictor | 0.279 | ||||
| Mean of criterion | -0.234 | ||||
| SD of predictor | 0.185 | ||||
| SD of criterion | 0.700 | ||||
| Covariance | -0.011 | ||||
| r | -0.088 | ||||
| b (slope, estimate of beta) | -0.331 | ||||
| a (intercept, estimate of alpha) | -0.142 | ||||
| Mean Square Error | 0.489 | ||||
| DF error | 170.000 | ||||
| t(b) | -1.146 | ||||
| p(b) | 0.544 | ||||
| t(a) | -0.143 | ||||
| p(a) | 0.505 | ||||
| Lowerbound of 95% confidence interval for beta | -0.901 | ||||
| Upperbound of 95% confidence interval for beta | 0.239 | ||||
| Lowerbound of 95% confidence interval for alpha | -2.100 | ||||
| Upperbound of 95% confidence interval for alpha | 1.816 | ||||
| Treynor index (mean / b) | 0.708 | ||||
| Jensen alpha (a) | -0.142 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.061 | ||||
| Expected Shortfall on VaR | 0.075 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.028 | ||||
| Expected Shortfall on VaR | 0.058 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 172.000 | ||||
| Minimum | 0.858 | ||||
| Quartile 1 | 1.000 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.000 | ||||
| Maximum | 1.170 | ||||
| Mean of quarter 1 | 0.963 | ||||
| Mean of quarter 2 | 1.000 | ||||
| Mean of quarter 3 | 1.000 | ||||
| Mean of quarter 4 | 1.038 | ||||
| Inter Quartile Range | 0.000 | ||||
| Number outliers low | 43.000 | ||||
| Percentage of outliers low | 0.250 | ||||
| Mean of outliers low | 0.963 | ||||
| Number of outliers high | 36.000 | ||||
| Percentage of outliers high | 0.209 | ||||
| Mean of outliers high | 1.045 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | -1.234 | ||||
| VaR(95%) (moments method) | 0.005 | ||||
| Expected Shortfall (moments method) | 0.005 | ||||
| Extreme Value Index (regression method) | -0.103 | ||||
| VaR(95%) (regression method) | 0.038 | ||||
| Expected Shortfall (regression method) | 0.057 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 5.000 | ||||
| Minimum | 0.002 | ||||
| Quartile 1 | 0.057 | ||||
| Median | 0.095 | ||||
| Quartile 3 | 0.293 | ||||
| Maximum | 0.357 | ||||
| Mean of quarter 1 | 0.030 | ||||
| Mean of quarter 2 | 0.095 | ||||
| Mean of quarter 3 | 0.293 | ||||
| Mean of quarter 4 | 0.357 | ||||
| Inter Quartile Range | 0.235 | ||||
| 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) | -0.182 | ||||
| Compounded annual return (geometric extrapolation) | -0.173 | ||||
| Calmar ratio (compounded annual return / max draw down) | -0.485 | ||||
| Compounded annual return / average of 25% largest draw downs | -0.485 | ||||
| Compounded annual return / Expected Shortfall lognormal | -2.298 | ||||


