Advanced Statistics: Smart 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 | -0.077 | ||||
| SD | 0.047 | ||||
| Sharpe ratio (Glass type estimate) | -1.641 | ||||
| Sharpe ratio (Hedges UMVUE) | -1.606 | ||||
| df | 36.000 | ||||
| t | -2.881 | ||||
| p | 0.997 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.809 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | -0.452 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -2.783 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -0.430 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -1.507 | ||||
| Upside Potential Ratio | 0.055 | ||||
| Upside part of mean | 0.003 | ||||
| Downside part of mean | -0.080 | ||||
| Upside SD | 0.005 | ||||
| Downside SD | 0.051 | ||||
| N nonnegative terms | 1.000 | ||||
| N negative terms | 36.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 37.000 | ||||
| Mean of predictor | 0.011 | ||||
| Mean of criterion | -0.077 | ||||
| SD of predictor | 0.203 | ||||
| SD of criterion | 0.047 | ||||
| Covariance | 0.003 | ||||
| r | 0.342 | ||||
| b (slope, estimate of beta) | 0.079 | ||||
| a (intercept, estimate of alpha) | -0.078 | ||||
| Mean Square Error | 0.002 | ||||
| DF error | 35.000 | ||||
| t(b) | 2.153 | ||||
| p(b) | 0.019 | ||||
| t(a) | -3.058 | ||||
| p(a) | 0.998 | ||||
| Lowerbound of 95% confidence interval for beta | 0.004 | ||||
| Upperbound of 95% confidence interval for beta | 0.153 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.129 | ||||
| Upperbound of 95% confidence interval for alpha | -0.026 | ||||
| Treynor index (mean / b) | -0.974 | ||||
| Jensen alpha (a) | -0.078 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.078 | ||||
| SD | 0.048 | ||||
| Sharpe ratio (Glass type estimate) | -1.611 | ||||
| Sharpe ratio (Hedges UMVUE) | -1.577 | ||||
| df | 36.000 | ||||
| t | -2.829 | ||||
| p | 0.996 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.777 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | -0.425 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -2.751 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -0.403 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -1.484 | ||||
| Upside Potential Ratio | 0.053 | ||||
| Upside part of mean | 0.003 | ||||
| Downside part of mean | -0.081 | ||||
| Upside SD | 0.005 | ||||
| Downside SD | 0.053 | ||||
| N nonnegative terms | 1.000 | ||||
| N negative terms | 36.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 37.000 | ||||
| Mean of predictor | -0.010 | ||||
| Mean of criterion | -0.078 | ||||
| SD of predictor | 0.209 | ||||
| SD of criterion | 0.048 | ||||
| Covariance | 0.003 | ||||
| r | 0.340 | ||||
| b (slope, estimate of beta) | 0.079 | ||||
| a (intercept, estimate of alpha) | -0.077 | ||||
| Mean Square Error | 0.002 | ||||
| DF error | 35.000 | ||||
| t(b) | 2.139 | ||||
| p(b) | 0.020 | ||||
| t(a) | -2.937 | ||||
| p(a) | 0.997 | ||||
| Lowerbound of 95% confidence interval for beta | 0.004 | ||||
| Upperbound of 95% confidence interval for beta | 0.153 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.131 | ||||
| Upperbound of 95% confidence interval for alpha | -0.024 | ||||
| Treynor index (mean / b) | -0.990 | ||||
| Jensen alpha (a) | -0.077 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.029 | ||||
| Expected Shortfall on VaR | 0.035 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.023 | ||||
| Expected Shortfall on VaR | 0.043 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 37.000 | ||||
| Minimum | 0.928 | ||||
| Quartile 1 | 1.000 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.000 | ||||
| Maximum | 1.012 | ||||
| Mean of quarter 1 | 0.988 | ||||
| Mean of quarter 2 | 1.000 | ||||
| Mean of quarter 3 | 1.000 | ||||
| Mean of quarter 4 | 1.002 | ||||
| Inter Quartile Range | 0.000 | ||||
| Number outliers low | 7.000 | ||||
| Percentage of outliers low | 0.189 | ||||
| Mean of outliers low | 0.984 | ||||
| Number of outliers high | 4.000 | ||||
| Percentage of outliers high | 0.108 | ||||
| Mean of outliers high | 1.004 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | -1.877 | ||||
| VaR(95%) (moments method) | 0.002 | ||||
| Expected Shortfall (moments method) | 0.002 | ||||
| Extreme Value Index (regression method) | 0.672 | ||||
| VaR(95%) (regression method) | 0.018 | ||||
| Expected Shortfall (regression method) | 0.110 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 1.000 | ||||
| Minimum | 0.110 | ||||
| Quartile 1 | 0.110 | ||||
| Median | 0.110 | ||||
| Quartile 3 | 0.110 | ||||
| Maximum | 0.110 | ||||
| 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) | -0.032 | ||||
| Compounded annual return (geometric extrapolation) | -0.033 | ||||
| Calmar ratio (compounded annual return / max draw down) | -0.302 | ||||
| Compounded annual return / average of 25% largest draw downs | NA | ||||
| Compounded annual return / Expected Shortfall lognormal | -0.962 | ||||
| ANALYSIS BASED ON DAILY VALUES, FULL HISTORY (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.076 | ||||
| SD | 0.045 | ||||
| Sharpe ratio (Glass type estimate) | -1.692 | ||||
| Sharpe ratio (Hedges UMVUE) | -1.691 | ||||
| df | 1077.000 | ||||
| t | -2.995 | ||||
| p | 0.558 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.801 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | -0.582 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -2.800 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -0.581 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -1.733 | ||||
| Upside Potential Ratio | 0.421 | ||||
| Upside part of mean | 0.019 | ||||
| Downside part of mean | -0.095 | ||||
| Upside SD | 0.010 | ||||
| Downside SD | 0.044 | ||||
| N nonnegative terms | 14.000 | ||||
| N negative terms | 1064.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 1078.000 | ||||
| Mean of predictor | 0.084 | ||||
| Mean of criterion | -0.076 | ||||
| SD of predictor | 0.317 | ||||
| SD of criterion | 0.045 | ||||
| Covariance | -0.000 | ||||
| r | -0.018 | ||||
| b (slope, estimate of beta) | -0.003 | ||||
| a (intercept, estimate of alpha) | -0.076 | ||||
| Mean Square Error | 0.002 | ||||
| DF error | 1076.000 | ||||
| t(b) | -0.586 | ||||
| p(b) | 0.509 | ||||
| t(a) | -2.986 | ||||
| p(a) | 0.545 | ||||
| Lowerbound of 95% confidence interval for beta | -0.011 | ||||
| Upperbound of 95% confidence interval for beta | 0.006 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.126 | ||||
| Upperbound of 95% confidence interval for alpha | -0.026 | ||||
| Treynor index (mean / b) | 29.980 | ||||
| Jensen alpha (a) | -0.076 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.077 | ||||
| SD | 0.046 | ||||
| Sharpe ratio (Glass type estimate) | -1.668 | ||||
| Sharpe ratio (Hedges UMVUE) | -1.667 | ||||
| df | 1077.000 | ||||
| t | -2.953 | ||||
| p | 0.557 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.777 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | -0.558 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -2.776 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -0.557 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -1.705 | ||||
| Upside Potential Ratio | 0.407 | ||||
| Upside part of mean | 0.018 | ||||
| Downside part of mean | -0.096 | ||||
| Upside SD | 0.010 | ||||
| Downside SD | 0.045 | ||||
| N nonnegative terms | 14.000 | ||||
| N negative terms | 1064.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 1078.000 | ||||
| Mean of predictor | 0.034 | ||||
| Mean of criterion | -0.077 | ||||
| SD of predictor | 0.317 | ||||
| SD of criterion | 0.046 | ||||
| Covariance | -0.000 | ||||
| r | -0.018 | ||||
| b (slope, estimate of beta) | -0.003 | ||||
| a (intercept, estimate of alpha) | -0.077 | ||||
| Mean Square Error | 0.002 | ||||
| DF error | 1076.000 | ||||
| t(b) | -0.583 | ||||
| p(b) | 0.509 | ||||
| t(a) | -2.948 | ||||
| p(a) | 0.545 | ||||
| Lowerbound of 95% confidence interval for beta | -0.011 | ||||
| Upperbound of 95% confidence interval for beta | 0.006 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.129 | ||||
| Upperbound of 95% confidence interval for alpha | -0.026 | ||||
| Treynor index (mean / b) | 29.755 | ||||
| Jensen alpha (a) | -0.077 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.004 | ||||
| Expected Shortfall on VaR | 0.005 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.001 | ||||
| Expected Shortfall on VaR | 0.002 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 1078.000 | ||||
| Minimum | 0.932 | ||||
| Quartile 1 | 1.000 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.000 | ||||
| Maximum | 1.010 | ||||
| Mean of quarter 1 | 0.999 | ||||
| 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 | 51.000 | ||||
| Percentage of outliers low | 0.047 | ||||
| Mean of outliers low | 0.997 | ||||
| Number of outliers high | 45.000 | ||||
| Percentage of outliers high | 0.042 | ||||
| Mean of outliers high | 1.001 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | 1.168 | ||||
| VaR(95%) (moments method) | -0.000 | ||||
| Expected Shortfall (moments method) | NA | ||||
| Extreme Value Index (regression method) | 1.538 | ||||
| VaR(95%) (regression method) | 0.000 | ||||
| Expected Shortfall (regression method) | NA | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 1.000 | ||||
| Minimum | 0.114 | ||||
| Quartile 1 | 0.114 | ||||
| Median | 0.114 | ||||
| Quartile 3 | 0.114 | ||||
| Maximum | 0.114 | ||||
| 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) | -0.032 | ||||
| Compounded annual return (geometric extrapolation) | -0.033 | ||||
| Calmar ratio (compounded annual return / max draw down) | -0.287 | ||||
| Compounded annual return / average of 25% largest draw downs | NA | ||||
| Compounded annual return / Expected Shortfall lognormal | -6.111 | ||||
| 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 | 0.280 | ||||
| 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 | 0.609 | ||||
| Mean of criterion | -0.044 | ||||
| SD of predictor | 0.280 | ||||
| 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) | -5557154359609737.000 | ||||
| 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) | -87389924737078860097109849276416.000 | ||||
| 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 | ||||


