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 | -0.691 | ||||
| SD | 0.657 | ||||
| Sharpe ratio (Glass type estimate) | -1.052 | ||||
| Sharpe ratio (Hedges UMVUE) | -1.048 | ||||
| df | 187.000 | ||||
| t | -0.778 | ||||
| p | 0.536 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -3.704 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.603 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -3.701 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.606 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -1.460 | ||||
| Upside Potential Ratio | 5.753 | ||||
| Upside part of mean | 2.724 | ||||
| Downside part of mean | -3.415 | ||||
| Upside SD | 0.454 | ||||
| Downside SD | 0.473 | ||||
| N nonnegative terms | 70.000 | ||||
| N negative terms | 118.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 188.000 | ||||
| Mean of predictor | 0.329 | ||||
| Mean of criterion | -0.691 | ||||
| SD of predictor | 0.124 | ||||
| SD of criterion | 0.657 | ||||
| Covariance | -0.008 | ||||
| r | -0.100 | ||||
| b (slope, estimate of beta) | -0.532 | ||||
| a (intercept, estimate of alpha) | -0.516 | ||||
| Mean Square Error | 0.430 | ||||
| DF error | 186.000 | ||||
| t(b) | -1.372 | ||||
| p(b) | 0.550 | ||||
| t(a) | -0.576 | ||||
| p(a) | 0.521 | ||||
| Lowerbound of 95% confidence interval for beta | -1.296 | ||||
| Upperbound of 95% confidence interval for beta | 0.233 | ||||
| Lowerbound of 95% confidence interval for alpha | -2.283 | ||||
| Upperbound of 95% confidence interval for alpha | 1.251 | ||||
| Treynor index (mean / b) | 1.300 | ||||
| Jensen alpha (a) | -0.516 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.906 | ||||
| SD | 0.657 | ||||
| Sharpe ratio (Glass type estimate) | -1.380 | ||||
| Sharpe ratio (Hedges UMVUE) | -1.374 | ||||
| df | 187.000 | ||||
| t | -1.020 | ||||
| p | 0.547 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -4.033 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.277 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -4.029 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.281 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -1.811 | ||||
| Upside Potential Ratio | 5.256 | ||||
| Upside part of mean | 2.629 | ||||
| Downside part of mean | -3.535 | ||||
| Upside SD | 0.426 | ||||
| Downside SD | 0.500 | ||||
| N nonnegative terms | 70.000 | ||||
| N negative terms | 118.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 188.000 | ||||
| Mean of predictor | 0.322 | ||||
| Mean of criterion | -0.906 | ||||
| SD of predictor | 0.123 | ||||
| SD of criterion | 0.657 | ||||
| Covariance | -0.008 | ||||
| r | -0.102 | ||||
| b (slope, estimate of beta) | -0.544 | ||||
| a (intercept, estimate of alpha) | -0.731 | ||||
| Mean Square Error | 0.429 | ||||
| DF error | 186.000 | ||||
| t(b) | -1.401 | ||||
| p(b) | 0.551 | ||||
| t(a) | -0.817 | ||||
| p(a) | 0.530 | ||||
| Lowerbound of 95% confidence interval for beta | -1.310 | ||||
| Upperbound of 95% confidence interval for beta | 0.222 | ||||
| Lowerbound of 95% confidence interval for alpha | -2.496 | ||||
| Upperbound of 95% confidence interval for alpha | 1.034 | ||||
| Treynor index (mean / b) | 1.666 | ||||
| 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%) | 0.059 | ||||
| Expected Shortfall on VaR | 0.073 | ||||
| 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 | 188.000 | ||||
| Minimum | 0.837 | ||||
| Quartile 1 | 0.992 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.006 | ||||
| Maximum | 1.228 | ||||
| Mean of quarter 1 | 0.962 | ||||
| Mean of quarter 2 | 0.998 | ||||
| Mean of quarter 3 | 1.001 | ||||
| Mean of quarter 4 | 1.031 | ||||
| Inter Quartile Range | 0.014 | ||||
| Number outliers low | 23.000 | ||||
| Percentage of outliers low | 0.122 | ||||
| Mean of outliers low | 0.939 | ||||
| Number of outliers high | 16.000 | ||||
| Percentage of outliers high | 0.085 | ||||
| Mean of outliers high | 1.066 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | 0.471 | ||||
| VaR(95%) (moments method) | 0.031 | ||||
| Expected Shortfall (moments method) | 0.071 | ||||
| Extreme Value Index (regression method) | 0.057 | ||||
| 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) | -0.687 | ||||
| Compounded annual return (geometric extrapolation) | -0.578 | ||||
| Calmar ratio (compounded annual return / max draw down) | -1.020 | ||||
| Compounded annual return / average of 25% largest draw downs | -1.020 | ||||
| Compounded annual return / Expected Shortfall lognormal | -7.936 | ||||
| ANALYSIS BASED ON DAILY VALUES, LAST 6 MONTHS (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.668 | ||||
| SD | 0.683 | ||||
| Sharpe ratio (Glass type estimate) | -0.978 | ||||
| Sharpe ratio (Hedges UMVUE) | -0.973 | ||||
| df | 171.000 | ||||
| t | -0.691 | ||||
| p | 0.534 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -3.750 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.797 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -3.747 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.800 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -1.360 | ||||
| Upside Potential Ratio | 5.820 | ||||
| Upside part of mean | 2.860 | ||||
| Downside part of mean | -3.528 | ||||
| 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 | 0.264 | ||||
| Mean of criterion | -0.668 | ||||
| SD of predictor | 0.121 | ||||
| SD of criterion | 0.683 | ||||
| Covariance | -0.008 | ||||
| r | -0.096 | ||||
| b (slope, estimate of beta) | -0.541 | ||||
| a (intercept, estimate of alpha) | -0.525 | ||||
| Mean Square Error | 0.465 | ||||
| DF error | 170.000 | ||||
| t(b) | -1.256 | ||||
| p(b) | 0.548 | ||||
| t(a) | -0.541 | ||||
| p(a) | 0.521 | ||||
| Lowerbound of 95% confidence interval for beta | -1.391 | ||||
| Upperbound of 95% confidence interval for beta | 0.309 | ||||
| Lowerbound of 95% confidence interval for alpha | -2.443 | ||||
| Upperbound of 95% confidence interval for alpha | 1.392 | ||||
| Treynor index (mean / b) | 1.235 | ||||
| Jensen alpha (a) | -0.525 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.900 | ||||
| SD | 0.683 | ||||
| Sharpe ratio (Glass type estimate) | -1.318 | ||||
| Sharpe ratio (Hedges UMVUE) | -1.313 | ||||
| df | 171.000 | ||||
| t | -0.932 | ||||
| p | 0.545 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -4.092 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.459 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -4.088 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.463 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -1.734 | ||||
| Upside Potential Ratio | 5.308 | ||||
| Upside part of mean | 2.757 | ||||
| Downside part of mean | -3.657 | ||||
| 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 | 0.257 | ||||
| Mean of criterion | -0.900 | ||||
| SD of predictor | 0.121 | ||||
| SD of criterion | 0.683 | ||||
| Covariance | -0.008 | ||||
| r | -0.098 | ||||
| b (slope, estimate of beta) | -0.557 | ||||
| a (intercept, estimate of alpha) | -0.758 | ||||
| Mean Square Error | 0.465 | ||||
| DF error | 170.000 | ||||
| t(b) | -1.290 | ||||
| p(b) | 0.549 | ||||
| t(a) | -0.781 | ||||
| p(a) | 0.530 | ||||
| Lowerbound of 95% confidence interval for beta | -1.408 | ||||
| Upperbound of 95% confidence interval for beta | 0.295 | ||||
| Lowerbound of 95% confidence interval for alpha | -2.673 | ||||
| Upperbound of 95% confidence interval for alpha | 1.158 | ||||
| Treynor index (mean / b) | 1.618 | ||||
| Jensen alpha (a) | -0.758 | ||||
| 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 | 0.008 | ||||
| Quartile 1 | 0.033 | ||||
| Median | 0.058 | ||||
| Quartile 3 | 0.304 | ||||
| Maximum | 0.549 | ||||
| Mean of quarter 1 | 0.008 | ||||
| Mean of quarter 2 | 0.058 | ||||
| Mean of quarter 3 | NA | ||||
| Mean of quarter 4 | 0.549 | ||||
| Inter Quartile Range | 0.271 | ||||
| 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) | -0.697 | ||||
| Compounded annual return (geometric extrapolation) | -0.575 | ||||
| Calmar ratio (compounded annual return / max draw down) | -1.048 | ||||
| Compounded annual return / average of 25% largest draw downs | -1.048 | ||||
| Compounded annual return / Expected Shortfall lognormal | -7.622 | ||||


