Advanced Statistics: eminialerts
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 | 0.186 | ||||
| SD | 0.437 | ||||
| Sharpe ratio (Glass type estimate) | 0.426 | ||||
| Sharpe ratio (Hedges UMVUE) | 0.417 | ||||
| df | 37.000 | ||||
| t | 0.757 | ||||
| p | 0.227 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.683 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.528 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -0.689 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.522 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 0.895 | ||||
| Upside Potential Ratio | 2.585 | ||||
| Upside part of mean | 0.537 | ||||
| Downside part of mean | -0.351 | ||||
| Upside SD | 0.381 | ||||
| Downside SD | 0.208 | ||||
| N nonnegative terms | 19.000 | ||||
| N negative terms | 19.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 38.000 | ||||
| Mean of predictor | 0.071 | ||||
| Mean of criterion | 0.186 | ||||
| SD of predictor | 0.139 | ||||
| SD of criterion | 0.437 | ||||
| Covariance | -0.022 | ||||
| r | -0.364 | ||||
| b (slope, estimate of beta) | -1.141 | ||||
| a (intercept, estimate of alpha) | 0.267 | ||||
| Mean Square Error | 0.170 | ||||
| DF error | 36.000 | ||||
| t(b) | -2.348 | ||||
| p(b) | 0.988 | ||||
| t(a) | 1.140 | ||||
| p(a) | 0.131 | ||||
| Lowerbound of 95% confidence interval for beta | -2.127 | ||||
| Upperbound of 95% confidence interval for beta | -0.156 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.208 | ||||
| Upperbound of 95% confidence interval for alpha | 0.742 | ||||
| Treynor index (mean / b) | -0.163 | ||||
| Jensen alpha (a) | 0.267 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.104 | ||||
| SD | 0.394 | ||||
| Sharpe ratio (Glass type estimate) | 0.265 | ||||
| Sharpe ratio (Hedges UMVUE) | 0.259 | ||||
| df | 37.000 | ||||
| t | 0.471 | ||||
| p | 0.320 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.840 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.366 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -0.844 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.362 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 0.454 | ||||
| Upside Potential Ratio | 2.081 | ||||
| Upside part of mean | 0.479 | ||||
| Downside part of mean | -0.374 | ||||
| Upside SD | 0.315 | ||||
| Downside SD | 0.230 | ||||
| N nonnegative terms | 19.000 | ||||
| N negative terms | 19.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 38.000 | ||||
| Mean of predictor | 0.061 | ||||
| Mean of criterion | 0.104 | ||||
| SD of predictor | 0.140 | ||||
| SD of criterion | 0.394 | ||||
| Covariance | -0.018 | ||||
| r | -0.328 | ||||
| b (slope, estimate of beta) | -0.924 | ||||
| a (intercept, estimate of alpha) | 0.161 | ||||
| Mean Square Error | 0.143 | ||||
| DF error | 36.000 | ||||
| t(b) | -2.085 | ||||
| p(b) | 0.978 | ||||
| t(a) | 0.752 | ||||
| p(a) | 0.229 | ||||
| Lowerbound of 95% confidence interval for beta | -1.823 | ||||
| Upperbound of 95% confidence interval for beta | -0.025 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.273 | ||||
| Upperbound of 95% confidence interval for alpha | 0.595 | ||||
| Treynor index (mean / b) | -0.113 | ||||
| Jensen alpha (a) | 0.161 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.164 | ||||
| Expected Shortfall on VaR | 0.202 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.067 | ||||
| Expected Shortfall on VaR | 0.132 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 38.000 | ||||
| Minimum | 0.748 | ||||
| Quartile 1 | 0.966 | ||||
| Median | 1.007 | ||||
| Quartile 3 | 1.054 | ||||
| Maximum | 1.583 | ||||
| Mean of quarter 1 | 0.911 | ||||
| Mean of quarter 2 | 0.983 | ||||
| Mean of quarter 3 | 1.025 | ||||
| Mean of quarter 4 | 1.154 | ||||
| Inter Quartile Range | 0.089 | ||||
| Number outliers low | 2.000 | ||||
| Percentage of outliers low | 0.053 | ||||
| Mean of outliers low | 0.781 | ||||
| Number of outliers high | 2.000 | ||||
| Percentage of outliers high | 0.053 | ||||
| Mean of outliers high | 1.408 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | 0.470 | ||||
| VaR(95%) (moments method) | 0.098 | ||||
| Expected Shortfall (moments method) | 0.205 | ||||
| Extreme Value Index (regression method) | 0.510 | ||||
| VaR(95%) (regression method) | 0.090 | ||||
| Expected Shortfall (regression method) | 0.190 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 1.000 | ||||
| Minimum | 0.521 | ||||
| Quartile 1 | 0.521 | ||||
| Median | 0.521 | ||||
| Quartile 3 | 0.521 | ||||
| Maximum | 0.521 | ||||
| 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) | 0.189 | ||||
| Compounded annual return (geometric extrapolation) | 0.160 | ||||
| Calmar ratio (compounded annual return / max draw down) | 0.307 | ||||
| Compounded annual return / average of 25% largest draw downs | NA | ||||
| Compounded annual return / Expected Shortfall lognormal | 0.793 | ||||
| ANALYSIS BASED ON DAILY VALUES, FULL HISTORY (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.136 | ||||
| SD | 0.303 | ||||
| Sharpe ratio (Glass type estimate) | 0.450 | ||||
| Sharpe ratio (Hedges UMVUE) | 0.449 | ||||
| df | 1096.000 | ||||
| t | 0.803 | ||||
| p | 0.488 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.648 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.547 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -0.648 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.547 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 0.640 | ||||
| Upside Potential Ratio | 7.113 | ||||
| Upside part of mean | 1.515 | ||||
| Downside part of mean | -1.378 | ||||
| Upside SD | 0.215 | ||||
| Downside SD | 0.213 | ||||
| N nonnegative terms | 383.000 | ||||
| N negative terms | 714.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 1097.000 | ||||
| Mean of predictor | 0.074 | ||||
| Mean of criterion | 0.136 | ||||
| SD of predictor | 0.179 | ||||
| SD of criterion | 0.303 | ||||
| Covariance | -0.002 | ||||
| r | -0.037 | ||||
| b (slope, estimate of beta) | -0.063 | ||||
| a (intercept, estimate of alpha) | 0.141 | ||||
| Mean Square Error | 0.092 | ||||
| DF error | 1095.000 | ||||
| t(b) | -1.238 | ||||
| p(b) | 0.524 | ||||
| t(a) | 0.830 | ||||
| p(a) | 0.484 | ||||
| Lowerbound of 95% confidence interval for beta | -0.163 | ||||
| Upperbound of 95% confidence interval for beta | 0.037 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.192 | ||||
| Upperbound of 95% confidence interval for alpha | 0.474 | ||||
| Treynor index (mean / b) | -2.155 | ||||
| Jensen alpha (a) | 0.141 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.090 | ||||
| SD | 0.305 | ||||
| Sharpe ratio (Glass type estimate) | 0.295 | ||||
| Sharpe ratio (Hedges UMVUE) | 0.295 | ||||
| df | 1096.000 | ||||
| t | 0.526 | ||||
| p | 0.492 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.803 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.392 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -0.803 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.392 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 0.407 | ||||
| Upside Potential Ratio | 6.751 | ||||
| Upside part of mean | 1.492 | ||||
| Downside part of mean | -1.402 | ||||
| Upside SD | 0.210 | ||||
| Downside SD | 0.221 | ||||
| N nonnegative terms | 383.000 | ||||
| N negative terms | 714.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 1097.000 | ||||
| Mean of predictor | 0.057 | ||||
| Mean of criterion | 0.090 | ||||
| SD of predictor | 0.180 | ||||
| SD of criterion | 0.305 | ||||
| Covariance | -0.002 | ||||
| r | -0.038 | ||||
| b (slope, estimate of beta) | -0.065 | ||||
| a (intercept, estimate of alpha) | 0.094 | ||||
| Mean Square Error | 0.093 | ||||
| DF error | 1095.000 | ||||
| t(b) | -1.262 | ||||
| p(b) | 0.524 | ||||
| t(a) | 0.548 | ||||
| p(a) | 0.489 | ||||
| Lowerbound of 95% confidence interval for beta | -0.165 | ||||
| Upperbound of 95% confidence interval for beta | 0.036 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.241 | ||||
| Upperbound of 95% confidence interval for alpha | 0.429 | ||||
| Treynor index (mean / b) | -1.389 | ||||
| Jensen alpha (a) | 0.094 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.026 | ||||
| Expected Shortfall on VaR | 0.033 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.011 | ||||
| Expected Shortfall on VaR | 0.023 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 1097.000 | ||||
| Minimum | 0.841 | ||||
| Quartile 1 | 0.997 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.004 | ||||
| Maximum | 1.120 | ||||
| Mean of quarter 1 | 0.985 | ||||
| Mean of quarter 2 | 0.999 | ||||
| Mean of quarter 3 | 1.001 | ||||
| Mean of quarter 4 | 1.017 | ||||
| Inter Quartile Range | 0.007 | ||||
| Number outliers low | 92.000 | ||||
| Percentage of outliers low | 0.084 | ||||
| Mean of outliers low | 0.969 | ||||
| Number of outliers high | 106.000 | ||||
| Percentage of outliers high | 0.097 | ||||
| Mean of outliers high | 1.031 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | 0.544 | ||||
| VaR(95%) (moments method) | 0.013 | ||||
| Expected Shortfall (moments method) | 0.033 | ||||
| Extreme Value Index (regression method) | 0.423 | ||||
| VaR(95%) (regression method) | 0.013 | ||||
| Expected Shortfall (regression method) | 0.026 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 12.000 | ||||
| Minimum | 0.000 | ||||
| Quartile 1 | 0.004 | ||||
| Median | 0.026 | ||||
| Quartile 3 | 0.047 | ||||
| Maximum | 0.544 | ||||
| Mean of quarter 1 | 0.001 | ||||
| Mean of quarter 2 | 0.016 | ||||
| Mean of quarter 3 | 0.037 | ||||
| Mean of quarter 4 | 0.233 | ||||
| Inter Quartile Range | 0.042 | ||||
| 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 | 0.083 | ||||
| Mean of outliers high | 0.544 | ||||
| Risk estimates based on draw downs (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | 0.286 | ||||
| VaR(95%) (moments method) | 0.163 | ||||
| Expected Shortfall (moments method) | 0.317 | ||||
| Extreme Value Index (regression method) | 2.030 | ||||
| VaR(95%) (regression method) | 0.547 | ||||
| Expected Shortfall (regression method) | NA | ||||
| COMBINED STATISTICS | |||||
| Annualized return (arithmetic extrapolation) | 0.167 | ||||
| Compounded annual return (geometric extrapolation) | 0.143 | ||||
| Calmar ratio (compounded annual return / max draw down) | 0.263 | ||||
| Compounded annual return / average of 25% largest draw downs | 0.615 | ||||
| Compounded annual return / Expected Shortfall lognormal | 4.332 | ||||
| ANALYSIS BASED ON DAILY VALUES, LAST 6 MONTHS (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.545 | ||||
| SD | 0.439 | ||||
| Sharpe ratio (Glass type estimate) | 1.242 | ||||
| Sharpe ratio (Hedges UMVUE) | 1.237 | ||||
| df | 171.000 | ||||
| t | 0.879 | ||||
| p | 0.457 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.534 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 4.016 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -1.538 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 4.012 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 1.902 | ||||
| Upside Potential Ratio | 9.387 | ||||
| Upside part of mean | 2.690 | ||||
| Downside part of mean | -2.145 | ||||
| Upside SD | 0.332 | ||||
| Downside SD | 0.287 | ||||
| N nonnegative terms | 71.000 | ||||
| N negative terms | 101.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 172.000 | ||||
| Mean of predictor | 0.308 | ||||
| Mean of criterion | 0.545 | ||||
| SD of predictor | 0.113 | ||||
| SD of criterion | 0.439 | ||||
| Covariance | 0.000 | ||||
| r | 0.010 | ||||
| b (slope, estimate of beta) | 0.039 | ||||
| a (intercept, estimate of alpha) | 0.533 | ||||
| Mean Square Error | 0.194 | ||||
| DF error | 170.000 | ||||
| t(b) | 0.130 | ||||
| p(b) | 0.495 | ||||
| t(a) | 0.848 | ||||
| p(a) | 0.468 | ||||
| Lowerbound of 95% confidence interval for beta | -0.549 | ||||
| Upperbound of 95% confidence interval for beta | 0.627 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.708 | ||||
| Upperbound of 95% confidence interval for alpha | 1.775 | ||||
| Treynor index (mean / b) | 14.048 | ||||
| Jensen alpha (a) | 0.533 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.450 | ||||
| SD | 0.437 | ||||
| Sharpe ratio (Glass type estimate) | 1.029 | ||||
| Sharpe ratio (Hedges UMVUE) | 1.024 | ||||
| df | 171.000 | ||||
| t | 0.727 | ||||
| p | 0.465 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.747 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 3.801 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -1.750 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 3.798 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 1.525 | ||||
| Upside Potential Ratio | 8.945 | ||||
| Upside part of mean | 2.637 | ||||
| Downside part of mean | -2.187 | ||||
| Upside SD | 0.322 | ||||
| Downside SD | 0.295 | ||||
| N nonnegative terms | 71.000 | ||||
| N negative terms | 101.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 172.000 | ||||
| Mean of predictor | 0.302 | ||||
| Mean of criterion | 0.450 | ||||
| SD of predictor | 0.113 | ||||
| SD of criterion | 0.437 | ||||
| Covariance | 0.000 | ||||
| r | 0.004 | ||||
| b (slope, estimate of beta) | 0.016 | ||||
| a (intercept, estimate of alpha) | 0.445 | ||||
| Mean Square Error | 0.192 | ||||
| DF error | 170.000 | ||||
| t(b) | 0.055 | ||||
| p(b) | 0.498 | ||||
| t(a) | 0.710 | ||||
| p(a) | 0.473 | ||||
| Lowerbound of 95% confidence interval for beta | -0.570 | ||||
| Upperbound of 95% confidence interval for beta | 0.603 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.792 | ||||
| Upperbound of 95% confidence interval for alpha | 1.681 | ||||
| Treynor index (mean / b) | 27.684 | ||||
| Jensen alpha (a) | 0.445 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.037 | ||||
| Expected Shortfall on VaR | 0.046 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.016 | ||||
| Expected Shortfall on VaR | 0.033 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 172.000 | ||||
| Minimum | 0.908 | ||||
| Quartile 1 | 0.995 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.008 | ||||
| Maximum | 1.120 | ||||
| Mean of quarter 1 | 0.976 | ||||
| Mean of quarter 2 | 0.999 | ||||
| Mean of quarter 3 | 1.003 | ||||
| Mean of quarter 4 | 1.029 | ||||
| Inter Quartile Range | 0.013 | ||||
| Number outliers low | 13.000 | ||||
| Percentage of outliers low | 0.076 | ||||
| Mean of outliers low | 0.951 | ||||
| Number of outliers high | 17.000 | ||||
| Percentage of outliers high | 0.099 | ||||
| Mean of outliers high | 1.048 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | 0.448 | ||||
| VaR(95%) (moments method) | 0.021 | ||||
| Expected Shortfall (moments method) | 0.046 | ||||
| Extreme Value Index (regression method) | 0.344 | ||||
| VaR(95%) (regression method) | 0.021 | ||||
| Expected Shortfall (regression method) | 0.040 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 9.000 | ||||
| Minimum | 0.005 | ||||
| Quartile 1 | 0.011 | ||||
| Median | 0.025 | ||||
| Quartile 3 | 0.043 | ||||
| Maximum | 0.202 | ||||
| Mean of quarter 1 | 0.008 | ||||
| Mean of quarter 2 | 0.022 | ||||
| Mean of quarter 3 | 0.035 | ||||
| Mean of quarter 4 | 0.149 | ||||
| Inter Quartile Range | 0.032 | ||||
| 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 | 0.222 | ||||
| Mean of outliers high | 0.149 | ||||
| Risk estimates based on draw downs (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | -3.225 | ||||
| VaR(95%) (moments method) | 0.109 | ||||
| Expected Shortfall (moments method) | 0.109 | ||||
| Extreme Value Index (regression method) | 0.019 | ||||
| VaR(95%) (regression method) | 0.233 | ||||
| Expected Shortfall (regression method) | 0.342 | ||||
| COMBINED STATISTICS | |||||
| Annualized return (arithmetic extrapolation) | 0.560 | ||||
| Compounded annual return (geometric extrapolation) | 0.638 | ||||
| Calmar ratio (compounded annual return / max draw down) | 3.165 | ||||
| Compounded annual return / average of 25% largest draw downs | 4.295 | ||||
| Compounded annual return / Expected Shortfall lognormal | 13.825 | ||||


