Advanced Statistics: MORE FX
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 | -0.773 | ||||
| SD | 0.443 | ||||
| Sharpe ratio (Glass type estimate) | -1.746 | ||||
| Sharpe ratio (Hedges UMVUE) | -1.468 | ||||
| df | 5.000 | ||||
| t | -1.235 | ||||
| p | 0.864 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -4.638 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.292 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -4.386 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.449 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -1.788 | ||||
| Upside Potential Ratio | 0.546 | ||||
| Upside part of mean | 0.236 | ||||
| Downside part of mean | -1.009 | ||||
| Upside SD | 0.162 | ||||
| Downside SD | 0.432 | ||||
| N nonnegative terms | 3.000 | ||||
| N negative terms | 3.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 6.000 | ||||
| Mean of predictor | 0.155 | ||||
| Mean of criterion | -0.773 | ||||
| SD of predictor | 0.143 | ||||
| SD of criterion | 0.443 | ||||
| Covariance | 0.004 | ||||
| r | 0.067 | ||||
| b (slope, estimate of beta) | 0.208 | ||||
| a (intercept, estimate of alpha) | -0.805 | ||||
| Mean Square Error | 0.244 | ||||
| DF error | 4.000 | ||||
| t(b) | 0.134 | ||||
| p(b) | 0.450 | ||||
| t(a) | -1.090 | ||||
| p(a) | 0.832 | ||||
| Lowerbound of 95% confidence interval for beta | -4.090 | ||||
| Upperbound of 95% confidence interval for beta | 4.506 | ||||
| Lowerbound of 95% confidence interval for alpha | -2.856 | ||||
| Upperbound of 95% confidence interval for alpha | 1.245 | ||||
| Treynor index (mean / b) | -3.720 | ||||
| Jensen alpha (a) | -0.805 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.889 | ||||
| SD | 0.474 | ||||
| Sharpe ratio (Glass type estimate) | -1.876 | ||||
| Sharpe ratio (Hedges UMVUE) | -1.577 | ||||
| df | 5.000 | ||||
| t | -1.327 | ||||
| p | 0.879 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -4.793 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.195 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -4.516 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.362 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -1.855 | ||||
| Upside Potential Ratio | 0.466 | ||||
| Upside part of mean | 0.223 | ||||
| Downside part of mean | -1.112 | ||||
| Upside SD | 0.153 | ||||
| Downside SD | 0.479 | ||||
| N nonnegative terms | 3.000 | ||||
| N negative terms | 3.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 6.000 | ||||
| Mean of predictor | 0.146 | ||||
| Mean of criterion | -0.889 | ||||
| SD of predictor | 0.143 | ||||
| SD of criterion | 0.474 | ||||
| Covariance | 0.004 | ||||
| r | 0.057 | ||||
| b (slope, estimate of beta) | 0.188 | ||||
| a (intercept, estimate of alpha) | -0.916 | ||||
| Mean Square Error | 0.280 | ||||
| DF error | 4.000 | ||||
| t(b) | 0.113 | ||||
| p(b) | 0.458 | ||||
| t(a) | -1.166 | ||||
| p(a) | 0.846 | ||||
| Lowerbound of 95% confidence interval for beta | -4.414 | ||||
| Upperbound of 95% confidence interval for beta | 4.790 | ||||
| Lowerbound of 95% confidence interval for alpha | -3.099 | ||||
| Upperbound of 95% confidence interval for alpha | 1.266 | ||||
| Treynor index (mean / b) | -4.727 | ||||
| Jensen alpha (a) | -0.916 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.259 | ||||
| Expected Shortfall on VaR | 0.299 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.196 | ||||
| Expected Shortfall on VaR | 0.298 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 6.000 | ||||
| Minimum | 0.797 | ||||
| Quartile 1 | 0.826 | ||||
| Median | 0.958 | ||||
| Quartile 3 | 1.006 | ||||
| Maximum | 1.118 | ||||
| Mean of quarter 1 | 0.798 | ||||
| Mean of quarter 2 | 0.911 | ||||
| Mean of quarter 3 | 1.004 | ||||
| Mean of quarter 4 | 1.062 | ||||
| Inter Quartile Range | 0.180 | ||||
| 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) | NA | ||||
| VaR(95%) (regression method) | NA | ||||
| Expected Shortfall (regression method) | NA | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 1.000 | ||||
| Minimum | 0.420 | ||||
| Quartile 1 | 0.420 | ||||
| Median | 0.420 | ||||
| Quartile 3 | 0.420 | ||||
| Maximum | 0.420 | ||||
| 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) | -0.689 | ||||
| Compounded annual return (geometric extrapolation) | -0.570 | ||||
| Calmar ratio (compounded annual return / max draw down) | -1.358 | ||||
| Compounded annual return / average of 25% largest draw downs | NA | ||||
| Compounded annual return / Expected Shortfall lognormal | -1.909 | ||||
| ANALYSIS BASED ON DAILY VALUES, FULL HISTORY (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.684 | ||||
| SD | 0.654 | ||||
| Sharpe ratio (Glass type estimate) | -1.047 | ||||
| Sharpe ratio (Hedges UMVUE) | -1.043 | ||||
| df | 189.000 | ||||
| t | -0.778 | ||||
| p | 0.536 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -3.685 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.594 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -3.682 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.596 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -1.453 | ||||
| Upside Potential Ratio | 5.723 | ||||
| Upside part of mean | 2.695 | ||||
| Downside part of mean | -3.380 | ||||
| Upside SD | 0.452 | ||||
| Downside SD | 0.471 | ||||
| N nonnegative terms | 70.000 | ||||
| N negative terms | 120.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 190.000 | ||||
| Mean of predictor | 0.364 | ||||
| Mean of criterion | -0.684 | ||||
| SD of predictor | 0.126 | ||||
| SD of criterion | 0.654 | ||||
| Covariance | -0.008 | ||||
| r | -0.097 | ||||
| b (slope, estimate of beta) | -0.507 | ||||
| a (intercept, estimate of alpha) | -0.500 | ||||
| Mean Square Error | 0.425 | ||||
| DF error | 188.000 | ||||
| t(b) | -1.341 | ||||
| p(b) | 0.549 | ||||
| t(a) | -0.563 | ||||
| p(a) | 0.520 | ||||
| Lowerbound of 95% confidence interval for beta | -1.252 | ||||
| Upperbound of 95% confidence interval for beta | 0.239 | ||||
| Lowerbound of 95% confidence interval for alpha | -2.252 | ||||
| Upperbound of 95% confidence interval for alpha | 1.252 | ||||
| Treynor index (mean / b) | 1.351 | ||||
| Jensen alpha (a) | -0.500 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.897 | ||||
| SD | 0.653 | ||||
| Sharpe ratio (Glass type estimate) | -1.373 | ||||
| Sharpe ratio (Hedges UMVUE) | -1.368 | ||||
| df | 189.000 | ||||
| t | -1.021 | ||||
| p | 0.547 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -4.012 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.269 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -4.009 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.273 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -1.803 | ||||
| Upside Potential Ratio | 5.229 | ||||
| Upside part of mean | 2.602 | ||||
| Downside part of mean | -3.499 | ||||
| Upside SD | 0.423 | ||||
| Downside SD | 0.498 | ||||
| N nonnegative terms | 70.000 | ||||
| N negative terms | 120.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 190.000 | ||||
| Mean of predictor | 0.356 | ||||
| Mean of criterion | -0.897 | ||||
| SD of predictor | 0.125 | ||||
| SD of criterion | 0.653 | ||||
| Covariance | -0.008 | ||||
| r | -0.099 | ||||
| b (slope, estimate of beta) | -0.517 | ||||
| a (intercept, estimate of alpha) | -0.713 | ||||
| Mean Square Error | 0.425 | ||||
| DF error | 188.000 | ||||
| t(b) | -1.366 | ||||
| p(b) | 0.550 | ||||
| t(a) | -0.803 | ||||
| p(a) | 0.529 | ||||
| Lowerbound of 95% confidence interval for beta | -1.265 | ||||
| Upperbound of 95% confidence interval for beta | 0.230 | ||||
| Lowerbound of 95% confidence interval for alpha | -2.463 | ||||
| Upperbound of 95% confidence interval for alpha | 1.038 | ||||
| Treynor index (mean / b) | 1.734 | ||||
| Jensen alpha (a) | -0.713 | ||||
| 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 | 0.072 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.026 | ||||
| Expected Shortfall on VaR | 0.054 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 190.000 | ||||
| Minimum | 0.837 | ||||
| Quartile 1 | 0.993 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.006 | ||||
| Maximum | 1.228 | ||||
| Mean of quarter 1 | 0.963 | ||||
| Mean of quarter 2 | 0.998 | ||||
| Mean of quarter 3 | 1.001 | ||||
| Mean of quarter 4 | 1.030 | ||||
| Inter Quartile Range | 0.013 | ||||
| Number outliers low | 23.000 | ||||
| Percentage of outliers low | 0.121 | ||||
| Mean of outliers low | 0.939 | ||||
| Number of outliers high | 16.000 | ||||
| Percentage of outliers high | 0.084 | ||||
| Mean of outliers high | 1.066 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | 0.519 | ||||
| VaR(95%) (moments method) | 0.032 | ||||
| Expected Shortfall (moments method) | 0.077 | ||||
| Extreme Value Index (regression method) | 0.072 | ||||
| VaR(95%) (regression method) | 0.031 | ||||
| Expected Shortfall (regression method) | 0.048 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 2.000 | ||||
| Minimum | 0.013 | ||||
| Quartile 1 | 0.151 | ||||
| Median | 0.290 | ||||
| Quartile 3 | 0.428 | ||||
| Maximum | 0.567 | ||||
| Mean of quarter 1 | 0.013 | ||||
| Mean of quarter 2 | NA | ||||
| Mean of quarter 3 | NA | ||||
| Mean of quarter 4 | 0.567 | ||||
| Inter Quartile Range | 0.277 | ||||
| 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) | -0.680 | ||||
| Compounded annual return (geometric extrapolation) | -0.574 | ||||
| Calmar ratio (compounded annual return / max draw down) | -1.013 | ||||
| Compounded annual return / average of 25% largest draw downs | -1.013 | ||||
| Compounded annual return / Expected Shortfall lognormal | -7.925 | ||||
| ANALYSIS BASED ON DAILY VALUES, LAST 6 MONTHS (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.656 | ||||
| SD | 0.683 | ||||
| Sharpe ratio (Glass type estimate) | -0.960 | ||||
| Sharpe ratio (Hedges UMVUE) | -0.956 | ||||
| df | 171.000 | ||||
| t | -0.679 | ||||
| p | 0.533 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -3.733 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.815 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -3.730 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.818 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -1.336 | ||||
| Upside Potential Ratio | 5.821 | ||||
| Upside part of mean | 2.860 | ||||
| Downside part of mean | -3.516 | ||||
| Upside SD | 0.473 | ||||
| Downside SD | 0.491 | ||||
| N nonnegative terms | 63.000 | ||||
| N negative terms | 109.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 172.000 | ||||
| Mean of predictor | 0.307 | ||||
| Mean of criterion | -0.656 | ||||
| SD of predictor | 0.124 | ||||
| SD of criterion | 0.683 | ||||
| Covariance | -0.008 | ||||
| r | -0.093 | ||||
| b (slope, estimate of beta) | -0.512 | ||||
| a (intercept, estimate of alpha) | -0.499 | ||||
| Mean Square Error | 0.466 | ||||
| DF error | 170.000 | ||||
| t(b) | -1.217 | ||||
| p(b) | 0.546 | ||||
| t(a) | -0.513 | ||||
| p(a) | 0.520 | ||||
| Lowerbound of 95% confidence interval for beta | -1.343 | ||||
| Upperbound of 95% confidence interval for beta | 0.319 | ||||
| Lowerbound of 95% confidence interval for alpha | -2.421 | ||||
| Upperbound of 95% confidence interval for alpha | 1.423 | ||||
| Treynor index (mean / b) | 1.281 | ||||
| Jensen alpha (a) | -0.499 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.889 | ||||
| SD | 0.683 | ||||
| Sharpe ratio (Glass type estimate) | -1.301 | ||||
| Sharpe ratio (Hedges UMVUE) | -1.295 | ||||
| df | 171.000 | ||||
| t | -0.920 | ||||
| p | 0.545 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -4.074 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.476 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -4.070 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.480 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -1.711 | ||||
| Upside Potential Ratio | 5.308 | ||||
| Upside part of mean | 2.757 | ||||
| Downside part of mean | -3.645 | ||||
| Upside SD | 0.443 | ||||
| Downside SD | 0.519 | ||||
| N nonnegative terms | 63.000 | ||||
| N negative terms | 109.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 172.000 | ||||
| Mean of predictor | 0.299 | ||||
| Mean of criterion | -0.889 | ||||
| SD of predictor | 0.124 | ||||
| SD of criterion | 0.683 | ||||
| Covariance | -0.008 | ||||
| r | -0.095 | ||||
| b (slope, estimate of beta) | -0.526 | ||||
| a (intercept, estimate of alpha) | -0.731 | ||||
| Mean Square Error | 0.465 | ||||
| DF error | 170.000 | ||||
| t(b) | -1.246 | ||||
| p(b) | 0.548 | ||||
| t(a) | -0.752 | ||||
| p(a) | 0.529 | ||||
| Lowerbound of 95% confidence interval for beta | -1.358 | ||||
| Upperbound of 95% confidence interval for beta | 0.307 | ||||
| Lowerbound of 95% confidence interval for alpha | -2.651 | ||||
| Upperbound of 95% confidence interval for alpha | 1.188 | ||||
| Treynor index (mean / b) | 1.691 | ||||
| Jensen alpha (a) | -0.731 | ||||
| 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%) | 0.027 | ||||
| Expected Shortfall on VaR | 0.056 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 172.000 | ||||
| Minimum | 0.837 | ||||
| Quartile 1 | 0.993 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.006 | ||||
| Maximum | 1.228 | ||||
| Mean of quarter 1 | 0.961 | ||||
| Mean of quarter 2 | 0.999 | ||||
| Mean of quarter 3 | 1.001 | ||||
| Mean of quarter 4 | 1.032 | ||||
| Inter Quartile Range | 0.013 | ||||
| Number outliers low | 23.000 | ||||
| Percentage of outliers low | 0.134 | ||||
| Mean of outliers low | 0.939 | ||||
| Number of outliers high | 16.000 | ||||
| Percentage of outliers high | 0.093 | ||||
| Mean of outliers high | 1.066 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | 0.435 | ||||
| VaR(95%) (moments method) | 0.030 | ||||
| Expected Shortfall (moments method) | 0.066 | ||||
| Extreme Value Index (regression method) | 0.004 | ||||
| VaR(95%) (regression method) | 0.033 | ||||
| Expected Shortfall (regression method) | 0.049 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 3.000 | ||||
| Minimum | 0.002 | ||||
| Quartile 1 | 0.030 | ||||
| Median | 0.058 | ||||
| Quartile 3 | 0.304 | ||||
| Maximum | 0.549 | ||||
| Mean of quarter 1 | 0.002 | ||||
| Mean of quarter 2 | 0.058 | ||||
| Mean of quarter 3 | NA | ||||
| Mean of quarter 4 | 0.549 | ||||
| Inter Quartile Range | 0.274 | ||||
| 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) | -0.689 | ||||
| Compounded annual return (geometric extrapolation) | -0.570 | ||||
| Calmar ratio (compounded annual return / max draw down) | -1.039 | ||||
| Compounded annual return / average of 25% largest draw downs | -1.039 | ||||
| Compounded annual return / Expected Shortfall lognormal | -7.558 | ||||


