Advanced Statistics: SMA
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 | 0.154 | ||||
| SD | 0.212 | ||||
| Sharpe ratio (Glass type estimate) | 0.725 | ||||
| Sharpe ratio (Hedges UMVUE) | 0.713 | ||||
| df | 45.000 | ||||
| t | 1.420 | ||||
| p | 0.081 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.291 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.733 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -0.299 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.725 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 1.825 | ||||
| Upside Potential Ratio | 2.949 | ||||
| Upside part of mean | 0.249 | ||||
| Downside part of mean | -0.095 | ||||
| Upside SD | 0.197 | ||||
| Downside SD | 0.084 | ||||
| N nonnegative terms | 13.000 | ||||
| N negative terms | 33.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 46.000 | ||||
| Mean of predictor | -0.033 | ||||
| Mean of criterion | 0.154 | ||||
| SD of predictor | 0.180 | ||||
| SD of criterion | 0.212 | ||||
| Covariance | 0.004 | ||||
| r | 0.105 | ||||
| b (slope, estimate of beta) | 0.123 | ||||
| a (intercept, estimate of alpha) | 0.158 | ||||
| Mean Square Error | 0.046 | ||||
| DF error | 44.000 | ||||
| t(b) | 0.699 | ||||
| p(b) | 0.244 | ||||
| t(a) | 1.447 | ||||
| p(a) | 0.077 | ||||
| Lowerbound of 95% confidence interval for beta | -0.232 | ||||
| Upperbound of 95% confidence interval for beta | 0.479 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.062 | ||||
| Upperbound of 95% confidence interval for alpha | 0.378 | ||||
| Treynor index (mean / b) | 1.248 | ||||
| Jensen alpha (a) | 0.158 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.132 | ||||
| SD | 0.199 | ||||
| Sharpe ratio (Glass type estimate) | 0.663 | ||||
| Sharpe ratio (Hedges UMVUE) | 0.652 | ||||
| df | 45.000 | ||||
| t | 1.299 | ||||
| p | 0.100 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.351 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.670 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -0.358 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.662 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 1.482 | ||||
| Upside Potential Ratio | 2.584 | ||||
| Upside part of mean | 0.231 | ||||
| Downside part of mean | -0.098 | ||||
| Upside SD | 0.180 | ||||
| Downside SD | 0.089 | ||||
| N nonnegative terms | 13.000 | ||||
| N negative terms | 33.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 46.000 | ||||
| Mean of predictor | -0.049 | ||||
| Mean of criterion | 0.132 | ||||
| SD of predictor | 0.184 | ||||
| SD of criterion | 0.199 | ||||
| Covariance | 0.004 | ||||
| r | 0.122 | ||||
| b (slope, estimate of beta) | 0.133 | ||||
| a (intercept, estimate of alpha) | 0.139 | ||||
| Mean Square Error | 0.040 | ||||
| DF error | 44.000 | ||||
| t(b) | 0.818 | ||||
| p(b) | 0.209 | ||||
| t(a) | 1.354 | ||||
| p(a) | 0.091 | ||||
| Lowerbound of 95% confidence interval for beta | -0.195 | ||||
| Upperbound of 95% confidence interval for beta | 0.460 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.068 | ||||
| Upperbound of 95% confidence interval for alpha | 0.346 | ||||
| Treynor index (mean / b) | 0.996 | ||||
| Jensen alpha (a) | 0.139 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.080 | ||||
| Expected Shortfall on VaR | 0.102 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.022 | ||||
| Expected Shortfall on VaR | 0.048 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 46.000 | ||||
| Minimum | 0.873 | ||||
| Quartile 1 | 1.000 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.009 | ||||
| Maximum | 1.239 | ||||
| Mean of quarter 1 | 0.979 | ||||
| Mean of quarter 2 | 1.000 | ||||
| Mean of quarter 3 | 1.001 | ||||
| Mean of quarter 4 | 1.083 | ||||
| Inter Quartile Range | 0.009 | ||||
| Number outliers low | 3.000 | ||||
| Percentage of outliers low | 0.065 | ||||
| Mean of outliers low | 0.921 | ||||
| Number of outliers high | 8.000 | ||||
| Percentage of outliers high | 0.174 | ||||
| Mean of outliers high | 1.115 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | 0.971 | ||||
| VaR(95%) (moments method) | 0.001 | ||||
| Expected Shortfall (moments method) | 0.069 | ||||
| Extreme Value Index (regression method) | 0.985 | ||||
| VaR(95%) (regression method) | 0.021 | ||||
| Expected Shortfall (regression method) | 2.316 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 6.000 | ||||
| Minimum | 0.000 | ||||
| Quartile 1 | 0.001 | ||||
| Median | 0.004 | ||||
| Quartile 3 | 0.071 | ||||
| Maximum | 0.143 | ||||
| Mean of quarter 1 | 0.000 | ||||
| Mean of quarter 2 | 0.002 | ||||
| Mean of quarter 3 | 0.006 | ||||
| Mean of quarter 4 | 0.118 | ||||
| Inter Quartile Range | 0.070 | ||||
| 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) | 0.252 | ||||
| Compounded annual return (geometric extrapolation) | 0.193 | ||||
| Calmar ratio (compounded annual return / max draw down) | 1.348 | ||||
| Compounded annual return / average of 25% largest draw downs | 1.636 | ||||
| Compounded annual return / Expected Shortfall lognormal | 1.892 | ||||
| ANALYSIS BASED ON DAILY VALUES, FULL HISTORY (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.146 | ||||
| SD | 0.184 | ||||
| Sharpe ratio (Glass type estimate) | 0.797 | ||||
| Sharpe ratio (Hedges UMVUE) | 0.797 | ||||
| df | 1338.000 | ||||
| t | 1.573 | ||||
| p | 0.479 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.197 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.791 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -0.197 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.791 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 1.243 | ||||
| Upside Potential Ratio | 6.288 | ||||
| Upside part of mean | 0.741 | ||||
| Downside part of mean | -0.594 | ||||
| Upside SD | 0.141 | ||||
| Downside SD | 0.118 | ||||
| N nonnegative terms | 227.000 | ||||
| N negative terms | 1112.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 1339.000 | ||||
| Mean of predictor | 0.037 | ||||
| Mean of criterion | 0.146 | ||||
| SD of predictor | 0.298 | ||||
| SD of criterion | 0.184 | ||||
| Covariance | 0.002 | ||||
| r | 0.044 | ||||
| b (slope, estimate of beta) | 0.027 | ||||
| a (intercept, estimate of alpha) | 0.145 | ||||
| Mean Square Error | 0.034 | ||||
| DF error | 1337.000 | ||||
| t(b) | 1.616 | ||||
| p(b) | 0.472 | ||||
| t(a) | 1.563 | ||||
| p(a) | 0.473 | ||||
| Lowerbound of 95% confidence interval for beta | -0.006 | ||||
| Upperbound of 95% confidence interval for beta | 0.060 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.037 | ||||
| Upperbound of 95% confidence interval for alpha | 0.328 | ||||
| Treynor index (mean / b) | 5.378 | ||||
| Jensen alpha (a) | 0.145 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.130 | ||||
| SD | 0.183 | ||||
| Sharpe ratio (Glass type estimate) | 0.709 | ||||
| Sharpe ratio (Hedges UMVUE) | 0.708 | ||||
| df | 1338.000 | ||||
| t | 1.398 | ||||
| p | 0.481 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.285 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.702 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -0.286 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.702 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 1.081 | ||||
| Upside Potential Ratio | 6.098 | ||||
| Upside part of mean | 0.731 | ||||
| Downside part of mean | -0.601 | ||||
| Upside SD | 0.138 | ||||
| Downside SD | 0.120 | ||||
| N nonnegative terms | 227.000 | ||||
| N negative terms | 1112.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 1339.000 | ||||
| Mean of predictor | -0.008 | ||||
| Mean of criterion | 0.130 | ||||
| SD of predictor | 0.298 | ||||
| SD of criterion | 0.183 | ||||
| Covariance | 0.003 | ||||
| r | 0.048 | ||||
| b (slope, estimate of beta) | 0.029 | ||||
| a (intercept, estimate of alpha) | 0.130 | ||||
| Mean Square Error | 0.033 | ||||
| DF error | 1337.000 | ||||
| t(b) | 1.744 | ||||
| p(b) | 0.470 | ||||
| t(a) | 1.401 | ||||
| p(a) | 0.476 | ||||
| Lowerbound of 95% confidence interval for beta | -0.004 | ||||
| Upperbound of 95% confidence interval for beta | 0.062 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.052 | ||||
| Upperbound of 95% confidence interval for alpha | 0.312 | ||||
| Treynor index (mean / b) | 4.433 | ||||
| Jensen alpha (a) | 0.130 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.016 | ||||
| Expected Shortfall on VaR | 0.020 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.005 | ||||
| Expected Shortfall on VaR | 0.012 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 1339.000 | ||||
| Minimum | 0.942 | ||||
| Quartile 1 | 1.000 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.000 | ||||
| Maximum | 1.081 | ||||
| Mean of quarter 1 | 0.994 | ||||
| Mean of quarter 2 | 1.000 | ||||
| Mean of quarter 3 | 1.000 | ||||
| Mean of quarter 4 | 1.009 | ||||
| Inter Quartile Range | 0.000 | ||||
| Number outliers low | 224.000 | ||||
| Percentage of outliers low | 0.167 | ||||
| Mean of outliers low | 0.990 | ||||
| Number of outliers high | 259.000 | ||||
| Percentage of outliers high | 0.193 | ||||
| Mean of outliers high | 1.011 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | 0.262 | ||||
| VaR(95%) (moments method) | 0.003 | ||||
| Expected Shortfall (moments method) | 0.006 | ||||
| Extreme Value Index (regression method) | 0.057 | ||||
| VaR(95%) (regression method) | 0.007 | ||||
| Expected Shortfall (regression method) | 0.014 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 27.000 | ||||
| Minimum | 0.000 | ||||
| Quartile 1 | 0.008 | ||||
| Median | 0.018 | ||||
| Quartile 3 | 0.060 | ||||
| Maximum | 0.267 | ||||
| Mean of quarter 1 | 0.002 | ||||
| Mean of quarter 2 | 0.014 | ||||
| Mean of quarter 3 | 0.042 | ||||
| Mean of quarter 4 | 0.125 | ||||
| Inter Quartile Range | 0.052 | ||||
| Number outliers low | 0.000 | ||||
| Percentage of outliers low | 0.000 | ||||
| Mean of outliers low | NA | ||||
| Number of outliers high | 2.000 | ||||
| Percentage of outliers high | 0.074 | ||||
| Mean of outliers high | 0.220 | ||||
| Risk estimates based on draw downs (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | 0.302 | ||||
| VaR(95%) (moments method) | 0.138 | ||||
| Expected Shortfall (moments method) | 0.230 | ||||
| Extreme Value Index (regression method) | 1.104 | ||||
| VaR(95%) (regression method) | 0.137 | ||||
| Expected Shortfall (regression method) | NA | ||||
| COMBINED STATISTICS | |||||
| Annualized return (arithmetic extrapolation) | 0.248 | ||||
| Compounded annual return (geometric extrapolation) | 0.190 | ||||
| Calmar ratio (compounded annual return / max draw down) | 0.711 | ||||
| Compounded annual return / average of 25% largest draw downs | 1.516 | ||||
| Compounded annual return / Expected Shortfall lognormal | 9.593 | ||||
| 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 | 0.693 | ||||
| Mean of criterion | -0.044 | ||||
| SD of predictor | 0.272 | ||||
| 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 | 0.656 | ||||
| Mean of criterion | -0.044 | ||||
| SD of predictor | 0.271 | ||||
| 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) | -5548236841622975.000 | ||||
| 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) | -64754550501638344001509763579904.000 | ||||
| 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 | ||||


