Advanced Statistics: Momentum and Volatility Trading
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 | 0.158 | ||||
| SD | 0.152 | ||||
| Sharpe ratio (Glass type estimate) | 1.043 | ||||
| Sharpe ratio (Hedges UMVUE) | 0.832 | ||||
| df | 4.000 | ||||
| t | 0.673 | ||||
| p | 0.269 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.131 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 4.100 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -2.258 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 3.923 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 6.583 | ||||
| Upside Potential Ratio | 9.095 | ||||
| Upside part of mean | 0.219 | ||||
| Downside part of mean | -0.060 | ||||
| Upside SD | 0.141 | ||||
| Downside SD | 0.024 | ||||
| N nonnegative terms | 1.000 | ||||
| N negative terms | 4.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 5.000 | ||||
| Mean of predictor | -0.008 | ||||
| Mean of criterion | 0.158 | ||||
| SD of predictor | 0.140 | ||||
| SD of criterion | 0.152 | ||||
| Covariance | -0.004 | ||||
| r | -0.193 | ||||
| b (slope, estimate of beta) | -0.209 | ||||
| a (intercept, estimate of alpha) | 0.157 | ||||
| Mean Square Error | 0.030 | ||||
| DF error | 3.000 | ||||
| t(b) | -0.341 | ||||
| p(b) | 0.622 | ||||
| t(a) | 0.588 | ||||
| p(a) | 0.299 | ||||
| Lowerbound of 95% confidence interval for beta | -2.165 | ||||
| Upperbound of 95% confidence interval for beta | 1.746 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.692 | ||||
| Upperbound of 95% confidence interval for alpha | 1.005 | ||||
| Treynor index (mean / b) | -0.757 | ||||
| Jensen alpha (a) | 0.157 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.148 | ||||
| SD | 0.145 | ||||
| Sharpe ratio (Glass type estimate) | 1.019 | ||||
| Sharpe ratio (Hedges UMVUE) | 0.813 | ||||
| df | 4.000 | ||||
| t | 0.658 | ||||
| p | 0.273 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.150 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 4.074 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -2.275 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 3.902 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 6.142 | ||||
| Upside Potential Ratio | 8.651 | ||||
| Upside part of mean | 0.209 | ||||
| Downside part of mean | -0.061 | ||||
| Upside SD | 0.135 | ||||
| Downside SD | 0.024 | ||||
| N nonnegative terms | 1.000 | ||||
| N negative terms | 4.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 5.000 | ||||
| Mean of predictor | -0.016 | ||||
| Mean of criterion | 0.148 | ||||
| SD of predictor | 0.141 | ||||
| SD of criterion | 0.145 | ||||
| Covariance | -0.004 | ||||
| r | -0.186 | ||||
| b (slope, estimate of beta) | -0.192 | ||||
| a (intercept, estimate of alpha) | 0.145 | ||||
| Mean Square Error | 0.027 | ||||
| DF error | 3.000 | ||||
| t(b) | -0.328 | ||||
| p(b) | 0.618 | ||||
| t(a) | 0.568 | ||||
| p(a) | 0.305 | ||||
| Lowerbound of 95% confidence interval for beta | -2.058 | ||||
| Upperbound of 95% confidence interval for beta | 1.674 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.669 | ||||
| Upperbound of 95% confidence interval for alpha | 0.959 | ||||
| Treynor index (mean / b) | -0.771 | ||||
| Jensen alpha (a) | 0.145 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.055 | ||||
| Expected Shortfall on VaR | 0.071 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.014 | ||||
| Expected Shortfall on VaR | 0.018 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 5.000 | ||||
| Minimum | 0.990 | ||||
| Quartile 1 | 1.000 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.000 | ||||
| Maximum | 1.095 | ||||
| Mean of quarter 1 | 0.995 | ||||
| Mean of quarter 2 | 1.000 | ||||
| Mean of quarter 3 | 1.000 | ||||
| Mean of quarter 4 | 1.095 | ||||
| Inter Quartile Range | 0.000 | ||||
| Number outliers low | 1.000 | ||||
| Percentage of outliers low | 0.200 | ||||
| Mean of outliers low | 0.990 | ||||
| Number of outliers high | 1.000 | ||||
| Percentage of outliers high | 0.200 | ||||
| Mean of outliers high | 1.095 | ||||
| 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 | 0.011 | ||||
| Quartile 1 | 0.011 | ||||
| Median | 0.011 | ||||
| Quartile 3 | 0.011 | ||||
| Maximum | 0.011 | ||||
| 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) | 0.200 | ||||
| Compounded annual return (geometric extrapolation) | 0.212 | ||||
| Calmar ratio (compounded annual return / max draw down) | 20.188 | ||||
| Compounded annual return / average of 25% largest draw downs | NA | ||||
| Compounded annual return / Expected Shortfall lognormal | 2.968 | ||||
| ANALYSIS BASED ON DAILY VALUES, FULL HISTORY (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.122 | ||||
| SD | 0.076 | ||||
| Sharpe ratio (Glass type estimate) | 1.599 | ||||
| Sharpe ratio (Hedges UMVUE) | 1.592 | ||||
| df | 168.000 | ||||
| t | 1.121 | ||||
| p | 0.457 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.205 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 4.398 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -1.210 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 4.393 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 2.952 | ||||
| Upside Potential Ratio | 8.824 | ||||
| Upside part of mean | 0.365 | ||||
| Downside part of mean | -0.243 | ||||
| Upside SD | 0.064 | ||||
| Downside SD | 0.041 | ||||
| N nonnegative terms | 34.000 | ||||
| N negative terms | 135.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 169.000 | ||||
| Mean of predictor | 0.383 | ||||
| Mean of criterion | 0.122 | ||||
| SD of predictor | 0.199 | ||||
| SD of criterion | 0.076 | ||||
| Covariance | -0.002 | ||||
| r | -0.160 | ||||
| b (slope, estimate of beta) | -0.061 | ||||
| a (intercept, estimate of alpha) | 0.145 | ||||
| Mean Square Error | 0.006 | ||||
| DF error | 167.000 | ||||
| t(b) | -2.095 | ||||
| p(b) | 0.601 | ||||
| t(a) | 1.343 | ||||
| p(a) | 0.434 | ||||
| Lowerbound of 95% confidence interval for beta | -0.119 | ||||
| Upperbound of 95% confidence interval for beta | -0.004 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.068 | ||||
| Upperbound of 95% confidence interval for alpha | 0.359 | ||||
| Treynor index (mean / b) | -1.989 | ||||
| Jensen alpha (a) | 0.145 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.119 | ||||
| SD | 0.076 | ||||
| Sharpe ratio (Glass type estimate) | 1.568 | ||||
| Sharpe ratio (Hedges UMVUE) | 1.561 | ||||
| df | 168.000 | ||||
| t | 1.099 | ||||
| p | 0.458 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.236 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 4.367 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -1.241 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 4.362 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 2.869 | ||||
| Upside Potential Ratio | 8.736 | ||||
| Upside part of mean | 0.362 | ||||
| Downside part of mean | -0.243 | ||||
| Upside SD | 0.064 | ||||
| Downside SD | 0.041 | ||||
| N nonnegative terms | 34.000 | ||||
| N negative terms | 135.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 169.000 | ||||
| Mean of predictor | 0.363 | ||||
| Mean of criterion | 0.119 | ||||
| SD of predictor | 0.198 | ||||
| SD of criterion | 0.076 | ||||
| Covariance | -0.002 | ||||
| r | -0.160 | ||||
| b (slope, estimate of beta) | -0.061 | ||||
| a (intercept, estimate of alpha) | 0.141 | ||||
| Mean Square Error | 0.006 | ||||
| DF error | 167.000 | ||||
| t(b) | -2.097 | ||||
| p(b) | 0.602 | ||||
| t(a) | 1.311 | ||||
| p(a) | 0.436 | ||||
| Lowerbound of 95% confidence interval for beta | -0.119 | ||||
| Upperbound of 95% confidence interval for beta | -0.004 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.071 | ||||
| Upperbound of 95% confidence interval for alpha | 0.354 | ||||
| Treynor index (mean / b) | -1.941 | ||||
| Jensen alpha (a) | 0.141 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.006 | ||||
| Expected Shortfall on VaR | 0.008 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.002 | ||||
| Expected Shortfall on VaR | 0.005 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 169.000 | ||||
| Minimum | 0.988 | ||||
| Quartile 1 | 1.000 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.000 | ||||
| Maximum | 1.025 | ||||
| Mean of quarter 1 | 0.998 | ||||
| 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 | 18.000 | ||||
| Percentage of outliers low | 0.107 | ||||
| Mean of outliers low | 0.994 | ||||
| Number of outliers high | 34.000 | ||||
| Percentage of outliers high | 0.201 | ||||
| Mean of outliers high | 1.005 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | -1.333 | ||||
| VaR(95%) (moments method) | 0.002 | ||||
| Expected Shortfall (moments method) | 0.003 | ||||
| Extreme Value Index (regression method) | -0.753 | ||||
| VaR(95%) (regression method) | 0.004 | ||||
| Expected Shortfall (regression method) | 0.007 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 5.000 | ||||
| Minimum | 0.002 | ||||
| Quartile 1 | 0.007 | ||||
| Median | 0.008 | ||||
| Quartile 3 | 0.017 | ||||
| Maximum | 0.041 | ||||
| Mean of quarter 1 | 0.004 | ||||
| Mean of quarter 2 | 0.008 | ||||
| Mean of quarter 3 | 0.017 | ||||
| Mean of quarter 4 | 0.041 | ||||
| Inter Quartile Range | 0.010 | ||||
| Number outliers low | 0.000 | ||||
| Percentage of outliers low | 0.000 | ||||
| Mean of outliers low | NA | ||||
| Number of outliers high | 1.000 | ||||
| Percentage of outliers high | 0.200 | ||||
| Mean of outliers high | 0.041 | ||||
| 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) | 0.170 | ||||
| Compounded annual return (geometric extrapolation) | 0.177 | ||||
| Calmar ratio (compounded annual return / max draw down) | 4.362 | ||||
| Compounded annual return / average of 25% largest draw downs | 4.362 | ||||
| Compounded annual return / Expected Shortfall lognormal | 21.961 | ||||


