Advanced Statistics: Kubera
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 | -0.003 | ||||
| SD | 0.325 | ||||
| Sharpe ratio (Glass type estimate) | -0.010 | ||||
| Sharpe ratio (Hedges UMVUE) | -0.010 | ||||
| df | 10.000 | ||||
| t | -0.010 | ||||
| p | 0.504 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.057 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.037 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -2.057 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 2.038 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -0.013 | ||||
| Upside Potential Ratio | 1.274 | ||||
| Upside part of mean | 0.319 | ||||
| Downside part of mean | -0.322 | ||||
| Upside SD | 0.184 | ||||
| Downside SD | 0.250 | ||||
| N nonnegative terms | 3.000 | ||||
| N negative terms | 8.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 11.000 | ||||
| Mean of predictor | 0.151 | ||||
| Mean of criterion | -0.003 | ||||
| SD of predictor | 0.270 | ||||
| SD of criterion | 0.325 | ||||
| Covariance | 0.017 | ||||
| r | 0.189 | ||||
| b (slope, estimate of beta) | 0.228 | ||||
| a (intercept, estimate of alpha) | -0.038 | ||||
| Mean Square Error | 0.113 | ||||
| DF error | 9.000 | ||||
| t(b) | 0.579 | ||||
| p(b) | 0.289 | ||||
| t(a) | -0.106 | ||||
| p(a) | 0.541 | ||||
| Lowerbound of 95% confidence interval for beta | -0.664 | ||||
| Upperbound of 95% confidence interval for beta | 1.120 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.845 | ||||
| Upperbound of 95% confidence interval for alpha | 0.769 | ||||
| Treynor index (mean / b) | -0.015 | ||||
| Jensen alpha (a) | -0.038 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.056 | ||||
| SD | 0.348 | ||||
| Sharpe ratio (Glass type estimate) | -0.160 | ||||
| Sharpe ratio (Hedges UMVUE) | -0.148 | ||||
| df | 10.000 | ||||
| t | -0.153 | ||||
| p | 0.559 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.205 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.892 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -2.196 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.900 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -0.197 | ||||
| Upside Potential Ratio | 1.064 | ||||
| Upside part of mean | 0.302 | ||||
| Downside part of mean | -0.358 | ||||
| Upside SD | 0.173 | ||||
| Downside SD | 0.284 | ||||
| N nonnegative terms | 3.000 | ||||
| N negative terms | 8.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 11.000 | ||||
| Mean of predictor | 0.118 | ||||
| Mean of criterion | -0.056 | ||||
| SD of predictor | 0.262 | ||||
| SD of criterion | 0.348 | ||||
| Covariance | 0.019 | ||||
| r | 0.205 | ||||
| b (slope, estimate of beta) | 0.272 | ||||
| a (intercept, estimate of alpha) | -0.088 | ||||
| Mean Square Error | 0.129 | ||||
| DF error | 9.000 | ||||
| t(b) | 0.627 | ||||
| p(b) | 0.273 | ||||
| t(a) | -0.232 | ||||
| p(a) | 0.589 | ||||
| Lowerbound of 95% confidence interval for beta | -0.709 | ||||
| Upperbound of 95% confidence interval for beta | 1.252 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.945 | ||||
| Upperbound of 95% confidence interval for alpha | 0.769 | ||||
| Treynor index (mean / b) | -0.205 | ||||
| Jensen alpha (a) | -0.088 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.156 | ||||
| Expected Shortfall on VaR | 0.190 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.077 | ||||
| Expected Shortfall on VaR | 0.160 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 11.000 | ||||
| Minimum | 0.766 | ||||
| Quartile 1 | 0.996 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.039 | ||||
| Maximum | 1.141 | ||||
| Mean of quarter 1 | 0.911 | ||||
| Mean of quarter 2 | 1.000 | ||||
| Mean of quarter 3 | 1.000 | ||||
| Mean of quarter 4 | 1.101 | ||||
| Inter Quartile Range | 0.043 | ||||
| Number outliers low | 1.000 | ||||
| Percentage of outliers low | 0.091 | ||||
| Mean of outliers low | 0.766 | ||||
| Number of outliers high | 1.000 | ||||
| Percentage of outliers high | 0.091 | ||||
| Mean of outliers high | 1.141 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | 0.659 | ||||
| VaR(95%) (moments method) | 0.042 | ||||
| Expected Shortfall (moments method) | 0.160 | ||||
| Extreme Value Index (regression method) | 2.576 | ||||
| VaR(95%) (regression method) | 0.305 | ||||
| Expected Shortfall (regression method) | NA | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 1.000 | ||||
| Minimum | 0.258 | ||||
| Quartile 1 | 0.258 | ||||
| Median | 0.258 | ||||
| Quartile 3 | 0.258 | ||||
| Maximum | 0.258 | ||||
| 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) | -0.012 | ||||
| Compounded annual return (geometric extrapolation) | -0.012 | ||||
| Calmar ratio (compounded annual return / max draw down) | -0.045 | ||||
| Compounded annual return / average of 25% largest draw downs | NA | ||||
| Compounded annual return / Expected Shortfall lognormal | -0.061 | ||||
| ANALYSIS BASED ON DAILY VALUES, FULL HISTORY (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.036 | ||||
| SD | 0.200 | ||||
| Sharpe ratio (Glass type estimate) | -0.179 | ||||
| Sharpe ratio (Hedges UMVUE) | -0.179 | ||||
| df | 316.000 | ||||
| t | -0.172 | ||||
| p | 0.568 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.221 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.863 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -2.221 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.863 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -0.281 | ||||
| Upside Potential Ratio | 5.291 | ||||
| Upside part of mean | 0.676 | ||||
| Downside part of mean | -0.712 | ||||
| Upside SD | 0.154 | ||||
| Downside SD | 0.128 | ||||
| N nonnegative terms | 32.000 | ||||
| N negative terms | 285.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 317.000 | ||||
| Mean of predictor | 0.203 | ||||
| Mean of criterion | -0.036 | ||||
| SD of predictor | 0.271 | ||||
| SD of criterion | 0.200 | ||||
| Covariance | 0.005 | ||||
| r | 0.090 | ||||
| b (slope, estimate of beta) | 0.066 | ||||
| a (intercept, estimate of alpha) | -0.049 | ||||
| Mean Square Error | 0.040 | ||||
| DF error | 315.000 | ||||
| t(b) | 1.599 | ||||
| p(b) | 0.055 | ||||
| t(a) | -0.237 | ||||
| p(a) | 0.594 | ||||
| Lowerbound of 95% confidence interval for beta | -0.015 | ||||
| Upperbound of 95% confidence interval for beta | 0.148 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.460 | ||||
| Upperbound of 95% confidence interval for alpha | 0.361 | ||||
| Treynor index (mean / b) | -0.541 | ||||
| Jensen alpha (a) | -0.049 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.056 | ||||
| SD | 0.199 | ||||
| Sharpe ratio (Glass type estimate) | -0.280 | ||||
| Sharpe ratio (Hedges UMVUE) | -0.280 | ||||
| df | 316.000 | ||||
| t | -0.269 | ||||
| p | 0.606 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.322 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.762 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -2.322 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.762 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -0.430 | ||||
| Upside Potential Ratio | 5.128 | ||||
| Upside part of mean | 0.664 | ||||
| Downside part of mean | -0.720 | ||||
| Upside SD | 0.150 | ||||
| Downside SD | 0.130 | ||||
| N nonnegative terms | 32.000 | ||||
| N negative terms | 285.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 317.000 | ||||
| Mean of predictor | 0.166 | ||||
| Mean of criterion | -0.056 | ||||
| SD of predictor | 0.271 | ||||
| SD of criterion | 0.199 | ||||
| Covariance | 0.005 | ||||
| r | 0.090 | ||||
| b (slope, estimate of beta) | 0.066 | ||||
| a (intercept, estimate of alpha) | -0.067 | ||||
| Mean Square Error | 0.039 | ||||
| DF error | 315.000 | ||||
| t(b) | 1.608 | ||||
| p(b) | 0.054 | ||||
| t(a) | -0.323 | ||||
| p(a) | 0.627 | ||||
| Lowerbound of 95% confidence interval for beta | -0.015 | ||||
| Upperbound of 95% confidence interval for beta | 0.147 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.473 | ||||
| Upperbound of 95% confidence interval for alpha | 0.340 | ||||
| Treynor index (mean / b) | -0.843 | ||||
| Jensen alpha (a) | -0.067 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.018 | ||||
| Expected Shortfall on VaR | 0.022 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.007 | ||||
| Expected Shortfall on VaR | 0.014 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 317.000 | ||||
| Minimum | 0.958 | ||||
| Quartile 1 | 1.000 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.000 | ||||
| Maximum | 1.078 | ||||
| Mean of quarter 1 | 0.992 | ||||
| Mean of quarter 2 | 1.000 | ||||
| Mean of quarter 3 | 1.000 | ||||
| Mean of quarter 4 | 1.008 | ||||
| Inter Quartile Range | 0.000 | ||||
| Number outliers low | 33.000 | ||||
| Percentage of outliers low | 0.104 | ||||
| Mean of outliers low | 0.981 | ||||
| Number of outliers high | 32.000 | ||||
| Percentage of outliers high | 0.101 | ||||
| Mean of outliers high | 1.020 | ||||
| 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) | -0.266 | ||||
| VaR(95%) (regression method) | 0.006 | ||||
| Expected Shortfall (regression method) | 0.011 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 3.000 | ||||
| Minimum | 0.006 | ||||
| Quartile 1 | 0.050 | ||||
| Median | 0.093 | ||||
| Quartile 3 | 0.203 | ||||
| Maximum | 0.313 | ||||
| Mean of quarter 1 | 0.006 | ||||
| Mean of quarter 2 | 0.093 | ||||
| Mean of quarter 3 | NA | ||||
| Mean of quarter 4 | 0.313 | ||||
| Inter Quartile Range | 0.153 | ||||
| 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) | -0.012 | ||||
| Compounded annual return (geometric extrapolation) | -0.012 | ||||
| Calmar ratio (compounded annual return / max draw down) | -0.037 | ||||
| Compounded annual return / average of 25% largest draw downs | -0.037 | ||||
| Compounded annual return / Expected Shortfall lognormal | -0.529 | ||||
| ANALYSIS BASED ON DAILY VALUES, LAST 6 MONTHS (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.278 | ||||
| SD | 0.142 | ||||
| Sharpe ratio (Glass type estimate) | 1.958 | ||||
| Sharpe ratio (Hedges UMVUE) | 1.949 | ||||
| df | 171.000 | ||||
| t | 1.384 | ||||
| p | 0.433 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.824 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 4.735 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -0.830 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 4.729 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 5.593 | ||||
| Upside Potential Ratio | 7.850 | ||||
| Upside part of mean | 0.390 | ||||
| Downside part of mean | -0.112 | ||||
| Upside SD | 0.133 | ||||
| Downside SD | 0.050 | ||||
| N nonnegative terms | 7.000 | ||||
| N negative terms | 165.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 172.000 | ||||
| Mean of predictor | 0.728 | ||||
| Mean of criterion | 0.278 | ||||
| SD of predictor | 0.267 | ||||
| SD of criterion | 0.142 | ||||
| Covariance | 0.002 | ||||
| r | 0.064 | ||||
| b (slope, estimate of beta) | 0.034 | ||||
| a (intercept, estimate of alpha) | 0.254 | ||||
| Mean Square Error | 0.020 | ||||
| DF error | 170.000 | ||||
| t(b) | 0.832 | ||||
| p(b) | 0.468 | ||||
| t(a) | 1.247 | ||||
| p(a) | 0.452 | ||||
| Lowerbound of 95% confidence interval for beta | -0.046 | ||||
| Upperbound of 95% confidence interval for beta | 0.114 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.148 | ||||
| Upperbound of 95% confidence interval for alpha | 0.655 | ||||
| Treynor index (mean / b) | 8.223 | ||||
| Jensen alpha (a) | 0.254 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.268 | ||||
| SD | 0.139 | ||||
| Sharpe ratio (Glass type estimate) | 1.928 | ||||
| Sharpe ratio (Hedges UMVUE) | 1.919 | ||||
| df | 171.000 | ||||
| t | 1.363 | ||||
| p | 0.434 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.855 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 4.704 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -0.860 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 4.698 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 5.300 | ||||
| Upside Potential Ratio | 7.541 | ||||
| Upside part of mean | 0.382 | ||||
| Downside part of mean | -0.113 | ||||
| Upside SD | 0.130 | ||||
| Downside SD | 0.051 | ||||
| N nonnegative terms | 7.000 | ||||
| N negative terms | 165.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 172.000 | ||||
| Mean of predictor | 0.692 | ||||
| Mean of criterion | 0.268 | ||||
| SD of predictor | 0.266 | ||||
| SD of criterion | 0.139 | ||||
| Covariance | 0.002 | ||||
| r | 0.064 | ||||
| b (slope, estimate of beta) | 0.033 | ||||
| a (intercept, estimate of alpha) | 0.245 | ||||
| Mean Square Error | 0.019 | ||||
| DF error | 170.000 | ||||
| t(b) | 0.834 | ||||
| p(b) | 0.468 | ||||
| t(a) | 1.233 | ||||
| p(a) | 0.453 | ||||
| Lowerbound of 95% confidence interval for beta | -0.046 | ||||
| Upperbound of 95% confidence interval for beta | 0.112 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.147 | ||||
| Upperbound of 95% confidence interval for alpha | 0.638 | ||||
| Treynor index (mean / b) | 8.049 | ||||
| Jensen alpha (a) | 0.245 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.011 | ||||
| Expected Shortfall on VaR | 0.015 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.001 | ||||
| Expected Shortfall on VaR | 0.003 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 172.000 | ||||
| Minimum | 0.965 | ||||
| Quartile 1 | 1.000 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.000 | ||||
| Maximum | 1.070 | ||||
| Mean of quarter 1 | 0.999 | ||||
| Mean of quarter 2 | 1.000 | ||||
| Mean of quarter 3 | 1.000 | ||||
| Mean of quarter 4 | 1.005 | ||||
| Inter Quartile Range | 0.000 | ||||
| Number outliers low | 1.000 | ||||
| Percentage of outliers low | 0.006 | ||||
| Mean of outliers low | 0.965 | ||||
| Number of outliers high | 7.000 | ||||
| Percentage of outliers high | 0.041 | ||||
| Mean of outliers high | 1.028 | ||||
| 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 | 0.035 | ||||
| Quartile 1 | 0.035 | ||||
| Median | 0.035 | ||||
| Quartile 3 | 0.035 | ||||
| Maximum | 0.035 | ||||
| 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) | 0.338 | ||||
| Compounded annual return (geometric extrapolation) | 0.367 | ||||
| Calmar ratio (compounded annual return / max draw down) | 10.472 | ||||
| Compounded annual return / average of 25% largest draw downs | NA | ||||
| Compounded annual return / Expected Shortfall lognormal | 25.128 | ||||


