Advanced Statistics: FOREX Formula
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 | 0.001 | ||||
| SD | 0.155 | ||||
| Sharpe ratio (Glass type estimate) | 0.005 | ||||
| Sharpe ratio (Hedges UMVUE) | 0.005 | ||||
| df | 71.000 | ||||
| t | 0.012 | ||||
| p | 0.495 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.795 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.805 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -0.795 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 0.805 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 0.008 | ||||
| Upside Potential Ratio | 1.139 | ||||
| Upside part of mean | 0.103 | ||||
| Downside part of mean | -0.102 | ||||
| Upside SD | 0.124 | ||||
| Downside SD | 0.090 | ||||
| N nonnegative terms | 9.000 | ||||
| N negative terms | 63.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 72.000 | ||||
| Mean of predictor | 0.020 | ||||
| Mean of criterion | 0.001 | ||||
| SD of predictor | 0.216 | ||||
| SD of criterion | 0.155 | ||||
| Covariance | -0.002 | ||||
| r | -0.069 | ||||
| b (slope, estimate of beta) | -0.049 | ||||
| a (intercept, estimate of alpha) | 0.002 | ||||
| Mean Square Error | 0.024 | ||||
| DF error | 70.000 | ||||
| t(b) | -0.575 | ||||
| p(b) | 0.716 | ||||
| t(a) | 0.027 | ||||
| p(a) | 0.489 | ||||
| Lowerbound of 95% confidence interval for beta | -0.219 | ||||
| Upperbound of 95% confidence interval for beta | 0.121 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.125 | ||||
| Upperbound of 95% confidence interval for alpha | 0.128 | ||||
| Treynor index (mean / b) | -0.015 | ||||
| Jensen alpha (a) | 0.002 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.011 | ||||
| SD | 0.151 | ||||
| Sharpe ratio (Glass type estimate) | -0.070 | ||||
| Sharpe ratio (Hedges UMVUE) | -0.069 | ||||
| df | 71.000 | ||||
| t | -0.172 | ||||
| p | 0.568 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.870 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.730 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -0.870 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 0.731 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -0.108 | ||||
| Upside Potential Ratio | 0.974 | ||||
| Upside part of mean | 0.096 | ||||
| Downside part of mean | -0.106 | ||||
| Upside SD | 0.113 | ||||
| Downside SD | 0.098 | ||||
| N nonnegative terms | 9.000 | ||||
| N negative terms | 63.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 72.000 | ||||
| Mean of predictor | -0.004 | ||||
| Mean of criterion | -0.011 | ||||
| SD of predictor | 0.222 | ||||
| SD of criterion | 0.151 | ||||
| Covariance | -0.002 | ||||
| r | -0.064 | ||||
| b (slope, estimate of beta) | -0.044 | ||||
| a (intercept, estimate of alpha) | -0.011 | ||||
| Mean Square Error | 0.023 | ||||
| DF error | 70.000 | ||||
| t(b) | -0.538 | ||||
| p(b) | 0.704 | ||||
| t(a) | -0.174 | ||||
| p(a) | 0.569 | ||||
| Lowerbound of 95% confidence interval for beta | -0.205 | ||||
| Upperbound of 95% confidence interval for beta | 0.118 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.134 | ||||
| Upperbound of 95% confidence interval for alpha | 0.112 | ||||
| Treynor index (mean / b) | 0.242 | ||||
| Jensen alpha (a) | -0.011 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.070 | ||||
| Expected Shortfall on VaR | 0.086 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.027 | ||||
| Expected Shortfall on VaR | 0.057 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 72.000 | ||||
| Minimum | 0.810 | ||||
| Quartile 1 | 1.000 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.000 | ||||
| Maximum | 1.261 | ||||
| Mean of quarter 1 | 0.979 | ||||
| Mean of quarter 2 | 1.000 | ||||
| Mean of quarter 3 | 1.000 | ||||
| Mean of quarter 4 | 1.036 | ||||
| Inter Quartile Range | 0.000 | ||||
| Number outliers low | 17.000 | ||||
| Percentage of outliers low | 0.236 | ||||
| Mean of outliers low | 0.977 | ||||
| Number of outliers high | 16.000 | ||||
| Percentage of outliers high | 0.222 | ||||
| Mean of outliers high | 1.041 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | 2.030 | ||||
| VaR(95%) (moments method) | 0.007 | ||||
| Expected Shortfall (moments method) | NA | ||||
| Extreme Value Index (regression method) | 2.278 | ||||
| VaR(95%) (regression method) | 0.006 | ||||
| Expected Shortfall (regression method) | NA | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 3.000 | ||||
| Minimum | 0.047 | ||||
| Quartile 1 | 0.072 | ||||
| Median | 0.097 | ||||
| Quartile 3 | 0.162 | ||||
| Maximum | 0.227 | ||||
| Mean of quarter 1 | 0.047 | ||||
| Mean of quarter 2 | 0.097 | ||||
| Mean of quarter 3 | NA | ||||
| Mean of quarter 4 | 0.227 | ||||
| Inter Quartile Range | 0.090 | ||||
| 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) | 0.037 | ||||
| Compounded annual return (geometric extrapolation) | 0.034 | ||||
| Calmar ratio (compounded annual return / max draw down) | 0.150 | ||||
| Compounded annual return / average of 25% largest draw downs | 0.150 | ||||
| Compounded annual return / Expected Shortfall lognormal | 0.394 | ||||
| ANALYSIS BASED ON DAILY VALUES, FULL HISTORY (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.000 | ||||
| SD | 0.146 | ||||
| Sharpe ratio (Glass type estimate) | -0.001 | ||||
| Sharpe ratio (Hedges UMVUE) | -0.001 | ||||
| df | 2071.000 | ||||
| t | -0.003 | ||||
| p | 0.501 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.800 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.797 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -0.800 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 0.797 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -0.002 | ||||
| Upside Potential Ratio | 3.400 | ||||
| Upside part of mean | 0.305 | ||||
| Downside part of mean | -0.305 | ||||
| Upside SD | 0.116 | ||||
| Downside SD | 0.090 | ||||
| N nonnegative terms | 240.000 | ||||
| N negative terms | 1832.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 2072.000 | ||||
| Mean of predictor | 0.036 | ||||
| Mean of criterion | -0.000 | ||||
| SD of predictor | 0.253 | ||||
| SD of criterion | 0.146 | ||||
| Covariance | 0.001 | ||||
| r | 0.021 | ||||
| b (slope, estimate of beta) | 0.012 | ||||
| a (intercept, estimate of alpha) | -0.001 | ||||
| Mean Square Error | 0.021 | ||||
| DF error | 2070.000 | ||||
| t(b) | 0.941 | ||||
| p(b) | 0.174 | ||||
| t(a) | -0.011 | ||||
| p(a) | 0.504 | ||||
| Lowerbound of 95% confidence interval for beta | -0.013 | ||||
| Upperbound of 95% confidence interval for beta | 0.037 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.118 | ||||
| Upperbound of 95% confidence interval for alpha | 0.116 | ||||
| Treynor index (mean / b) | -0.017 | ||||
| Jensen alpha (a) | -0.001 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.011 | ||||
| SD | 0.144 | ||||
| Sharpe ratio (Glass type estimate) | -0.074 | ||||
| Sharpe ratio (Hedges UMVUE) | -0.074 | ||||
| df | 2071.000 | ||||
| t | -0.182 | ||||
| p | 0.572 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.873 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.724 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -0.873 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 0.724 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -0.116 | ||||
| Upside Potential Ratio | 3.244 | ||||
| Upside part of mean | 0.298 | ||||
| Downside part of mean | -0.309 | ||||
| Upside SD | 0.111 | ||||
| Downside SD | 0.092 | ||||
| N nonnegative terms | 240.000 | ||||
| N negative terms | 1832.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 2072.000 | ||||
| Mean of predictor | 0.004 | ||||
| Mean of criterion | -0.011 | ||||
| SD of predictor | 0.253 | ||||
| SD of criterion | 0.144 | ||||
| Covariance | 0.001 | ||||
| r | 0.021 | ||||
| b (slope, estimate of beta) | 0.012 | ||||
| a (intercept, estimate of alpha) | -0.011 | ||||
| Mean Square Error | 0.021 | ||||
| DF error | 2070.000 | ||||
| t(b) | 0.970 | ||||
| p(b) | 0.166 | ||||
| t(a) | -0.183 | ||||
| p(a) | 0.573 | ||||
| Lowerbound of 95% confidence interval for beta | -0.012 | ||||
| Upperbound of 95% confidence interval for beta | 0.037 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.126 | ||||
| Upperbound of 95% confidence interval for alpha | 0.105 | ||||
| Treynor index (mean / b) | -0.881 | ||||
| Jensen alpha (a) | -0.011 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.013 | ||||
| Expected Shortfall on VaR | 0.016 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.003 | ||||
| Expected Shortfall on VaR | 0.006 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 2072.000 | ||||
| Minimum | 0.905 | ||||
| Quartile 1 | 1.000 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.000 | ||||
| Maximum | 1.155 | ||||
| Mean of quarter 1 | 0.997 | ||||
| Mean of quarter 2 | 1.000 | ||||
| Mean of quarter 3 | 1.000 | ||||
| Mean of quarter 4 | 1.004 | ||||
| Inter Quartile Range | 0.000 | ||||
| Number outliers low | 439.000 | ||||
| Percentage of outliers low | 0.212 | ||||
| Mean of outliers low | 0.996 | ||||
| Number of outliers high | 447.000 | ||||
| Percentage of outliers high | 0.216 | ||||
| Mean of outliers high | 1.004 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | 0.649 | ||||
| VaR(95%) (moments method) | 0.001 | ||||
| Expected Shortfall (moments method) | 0.008 | ||||
| Extreme Value Index (regression method) | 0.255 | ||||
| VaR(95%) (regression method) | 0.002 | ||||
| Expected Shortfall (regression method) | 0.008 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 19.000 | ||||
| Minimum | 0.000 | ||||
| Quartile 1 | 0.003 | ||||
| Median | 0.009 | ||||
| Quartile 3 | 0.043 | ||||
| Maximum | 0.273 | ||||
| Mean of quarter 1 | 0.001 | ||||
| Mean of quarter 2 | 0.006 | ||||
| Mean of quarter 3 | 0.027 | ||||
| Mean of quarter 4 | 0.155 | ||||
| Inter Quartile Range | 0.040 | ||||
| Number outliers low | 0.000 | ||||
| Percentage of outliers low | 0.000 | ||||
| Mean of outliers low | NA | ||||
| Number of outliers high | 3.000 | ||||
| Percentage of outliers high | 0.158 | ||||
| Mean of outliers high | 0.224 | ||||
| Risk estimates based on draw downs (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | 0.176 | ||||
| VaR(95%) (moments method) | 0.140 | ||||
| Expected Shortfall (moments method) | 0.227 | ||||
| Extreme Value Index (regression method) | 0.743 | ||||
| VaR(95%) (regression method) | 0.140 | ||||
| Expected Shortfall (regression method) | 0.515 | ||||
| COMBINED STATISTICS | |||||
| Annualized return (arithmetic extrapolation) | 0.037 | ||||
| Compounded annual return (geometric extrapolation) | 0.034 | ||||
| Calmar ratio (compounded annual return / max draw down) | 0.124 | ||||
| Compounded annual return / average of 25% largest draw downs | 0.219 | ||||
| Compounded annual return / Expected Shortfall lognormal | 2.126 | ||||
| ANALYSIS BASED ON DAILY VALUES, LAST 6 MONTHS (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.044 | ||||
| SD | 0.000 | ||||
| Sharpe ratio (Glass type estimate) | NA | ||||
| Sharpe ratio (Hedges UMVUE) | NA | ||||
| df | NA | ||||
| t | NA | ||||
| p | NA | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | NA | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | NA | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | NA | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | NA | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -18.547 | ||||
| Upside Potential Ratio | 0.000 | ||||
| Upside part of mean | 0.000 | ||||
| Downside part of mean | -0.044 | ||||
| Upside SD | 0.000 | ||||
| Downside SD | 0.002 | ||||
| N nonnegative terms | 0.000 | ||||
| N negative terms | 172.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 172.000 | ||||
| Mean of predictor | 0.648 | ||||
| Mean of criterion | -0.044 | ||||
| SD of predictor | 0.302 | ||||
| SD of criterion | 0.000 | ||||
| Covariance | 0.000 | ||||
| r | NA | ||||
| b (slope, estimate of beta) | NA | ||||
| a (intercept, estimate of alpha) | NA | ||||
| Mean Square Error | NA | ||||
| DF error | NA | ||||
| t(b) | NA | ||||
| p(b) | NA | ||||
| t(a) | NA | ||||
| p(a) | NA | ||||
| Lowerbound of 95% confidence interval for beta | NA | ||||
| Upperbound of 95% confidence interval for beta | NA | ||||
| Lowerbound of 95% confidence interval for alpha | NA | ||||
| Upperbound of 95% confidence interval for alpha | NA | ||||
| Treynor index (mean / b) | NA | ||||
| Jensen alpha (a) | NA | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.044 | ||||
| SD | 0.000 | ||||
| Sharpe ratio (Glass type estimate) | -7936535306446244.000 | ||||
| Sharpe ratio (Hedges UMVUE) | -7901674975671223.000 | ||||
| df | 171.000 | ||||
| t | -5611977934314593.000 | ||||
| p | 1.000 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | NA | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | NA | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -8739115425704417.000 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -7064234525638030.000 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -18.547 | ||||
| Upside Potential Ratio | 0.000 | ||||
| Upside part of mean | 0.000 | ||||
| Downside part of mean | -0.044 | ||||
| Upside SD | 0.000 | ||||
| Downside SD | 0.002 | ||||
| N nonnegative terms | 0.000 | ||||
| N negative terms | 172.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 172.000 | ||||
| Mean of predictor | 0.603 | ||||
| Mean of criterion | -0.044 | ||||
| SD of predictor | 0.300 | ||||
| SD of criterion | 0.000 | ||||
| Covariance | -0.000 | ||||
| r | -0.000 | ||||
| b (slope, estimate of beta) | -0.000 | ||||
| a (intercept, estimate of alpha) | -0.044 | ||||
| Mean Square Error | 0.000 | ||||
| DF error | 170.000 | ||||
| t(b) | -0.000 | ||||
| p(b) | 0.500 | ||||
| t(a) | -5562757747689063.000 | ||||
| p(a) | 1.000 | ||||
| Lowerbound of 95% confidence interval for beta | -0.000 | ||||
| Upperbound of 95% confidence interval for beta | 0.000 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.044 | ||||
| Upperbound of 95% confidence interval for alpha | -0.044 | ||||
| Treynor index (mean / b) | 105669131314030172227945485041664.000 | ||||
| Jensen alpha (a) | -0.044 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.000 | ||||
| Expected Shortfall on VaR | 0.000 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.000 | ||||
| Expected Shortfall on VaR | 0.000 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 172.000 | ||||
| Minimum | 1.000 | ||||
| Quartile 1 | 1.000 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.000 | ||||
| Maximum | 1.000 | ||||
| Mean of quarter 1 | 1.000 | ||||
| Mean of quarter 2 | 1.000 | ||||
| Mean of quarter 3 | 1.000 | ||||
| Mean of quarter 4 | 1.000 | ||||
| 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 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 | 0.000 | ||||
| Minimum | NA | ||||
| Quartile 1 | NA | ||||
| Median | NA | ||||
| Quartile 3 | NA | ||||
| Maximum | NA | ||||
| 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 | NA | ||||
| Mean of outliers low | NA | ||||
| Number of outliers high | 0.000 | ||||
| Percentage of outliers high | NA | ||||
| 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) | 0.000 | ||||
| Compounded annual return (geometric extrapolation) | 0.000 | ||||
| Calmar ratio (compounded annual return / max draw down) | NA | ||||
| Compounded annual return / average of 25% largest draw downs | NA | ||||
| Compounded annual return / Expected Shortfall lognormal | 0.000 | ||||


