Advanced Statistics: system
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 | -0.068 | ||||
| SD | 0.444 | ||||
| Sharpe ratio (Glass type estimate) | -0.154 | ||||
| Sharpe ratio (Hedges UMVUE) | -0.148 | ||||
| df | 20.000 | ||||
| t | -0.203 | ||||
| p | 0.523 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.634 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.330 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -1.630 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.334 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -0.243 | ||||
| Upside Potential Ratio | 1.862 | ||||
| Upside part of mean | 0.524 | ||||
| Downside part of mean | -0.592 | ||||
| Upside SD | 0.331 | ||||
| Downside SD | 0.281 | ||||
| N nonnegative terms | 9.000 | ||||
| N negative terms | 12.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 21.000 | ||||
| Mean of predictor | 0.072 | ||||
| Mean of criterion | -0.068 | ||||
| SD of predictor | 0.199 | ||||
| SD of criterion | 0.444 | ||||
| Covariance | -0.073 | ||||
| r | -0.828 | ||||
| b (slope, estimate of beta) | -1.846 | ||||
| a (intercept, estimate of alpha) | 0.064 | ||||
| Mean Square Error | 0.065 | ||||
| DF error | 19.000 | ||||
| t(b) | -6.434 | ||||
| p(b) | 0.958 | ||||
| t(a) | 0.332 | ||||
| p(a) | 0.452 | ||||
| Lowerbound of 95% confidence interval for beta | -2.447 | ||||
| Upperbound of 95% confidence interval for beta | -1.246 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.342 | ||||
| Upperbound of 95% confidence interval for alpha | 0.471 | ||||
| Treynor index (mean / b) | 0.037 | ||||
| Jensen alpha (a) | 0.064 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.159 | ||||
| SD | 0.432 | ||||
| Sharpe ratio (Glass type estimate) | -0.367 | ||||
| Sharpe ratio (Hedges UMVUE) | -0.353 | ||||
| df | 20.000 | ||||
| t | -0.486 | ||||
| p | 0.554 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.849 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.123 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -1.839 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.132 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -0.517 | ||||
| Upside Potential Ratio | 1.550 | ||||
| Upside part of mean | 0.476 | ||||
| Downside part of mean | -0.635 | ||||
| Upside SD | 0.293 | ||||
| Downside SD | 0.307 | ||||
| N nonnegative terms | 9.000 | ||||
| N negative terms | 12.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 21.000 | ||||
| Mean of predictor | 0.053 | ||||
| Mean of criterion | -0.159 | ||||
| SD of predictor | 0.197 | ||||
| SD of criterion | 0.432 | ||||
| Covariance | -0.072 | ||||
| r | -0.849 | ||||
| b (slope, estimate of beta) | -1.865 | ||||
| a (intercept, estimate of alpha) | -0.060 | ||||
| Mean Square Error | 0.055 | ||||
| DF error | 19.000 | ||||
| t(b) | -6.991 | ||||
| p(b) | 0.965 | ||||
| t(a) | -0.337 | ||||
| p(a) | 0.549 | ||||
| Lowerbound of 95% confidence interval for beta | -2.424 | ||||
| Upperbound of 95% confidence interval for beta | -1.307 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.432 | ||||
| Upperbound of 95% confidence interval for alpha | 0.313 | ||||
| Treynor index (mean / b) | 0.085 | ||||
| Jensen alpha (a) | -0.060 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.196 | ||||
| Expected Shortfall on VaR | 0.236 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.124 | ||||
| Expected Shortfall on VaR | 0.206 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 21.000 | ||||
| Minimum | 0.781 | ||||
| Quartile 1 | 0.950 | ||||
| Median | 0.972 | ||||
| Quartile 3 | 1.051 | ||||
| Maximum | 1.335 | ||||
| Mean of quarter 1 | 0.866 | ||||
| Mean of quarter 2 | 0.966 | ||||
| Mean of quarter 3 | 1.017 | ||||
| Mean of quarter 4 | 1.170 | ||||
| Inter Quartile Range | 0.101 | ||||
| Number outliers low | 1.000 | ||||
| Percentage of outliers low | 0.048 | ||||
| Mean of outliers low | 0.781 | ||||
| Number of outliers high | 2.000 | ||||
| Percentage of outliers high | 0.095 | ||||
| Mean of outliers high | 1.279 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | -5.578 | ||||
| VaR(95%) (moments method) | 0.112 | ||||
| Expected Shortfall (moments method) | 0.112 | ||||
| Extreme Value Index (regression method) | -0.960 | ||||
| VaR(95%) (regression method) | 0.191 | ||||
| Expected Shortfall (regression method) | 0.208 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 2.000 | ||||
| Minimum | 0.092 | ||||
| Quartile 1 | 0.168 | ||||
| Median | 0.243 | ||||
| Quartile 3 | 0.318 | ||||
| Maximum | 0.394 | ||||
| Mean of quarter 1 | 0.092 | ||||
| Mean of quarter 2 | NA | ||||
| Mean of quarter 3 | NA | ||||
| Mean of quarter 4 | 0.394 | ||||
| Inter Quartile Range | 0.151 | ||||
| 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) | -0.104 | ||||
| Compounded annual return (geometric extrapolation) | -0.108 | ||||
| Calmar ratio (compounded annual return / max draw down) | -0.275 | ||||
| Compounded annual return / average of 25% largest draw downs | -0.275 | ||||
| Compounded annual return / Expected Shortfall lognormal | -0.459 | ||||
| ANALYSIS BASED ON DAILY VALUES, FULL HISTORY (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.140 | ||||
| SD | 0.353 | ||||
| Sharpe ratio (Glass type estimate) | -0.397 | ||||
| Sharpe ratio (Hedges UMVUE) | -0.396 | ||||
| df | 606.000 | ||||
| t | -0.527 | ||||
| p | 0.701 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.872 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.079 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -1.872 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.080 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -0.561 | ||||
| Upside Potential Ratio | 8.333 | ||||
| Upside part of mean | 2.079 | ||||
| Downside part of mean | -2.219 | ||||
| Upside SD | 0.249 | ||||
| Downside SD | 0.249 | ||||
| N nonnegative terms | 260.000 | ||||
| N negative terms | 347.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 607.000 | ||||
| Mean of predictor | 0.088 | ||||
| Mean of criterion | -0.140 | ||||
| SD of predictor | 0.200 | ||||
| SD of criterion | 0.353 | ||||
| Covariance | -0.036 | ||||
| r | -0.516 | ||||
| b (slope, estimate of beta) | -0.908 | ||||
| a (intercept, estimate of alpha) | -0.060 | ||||
| Mean Square Error | 0.091 | ||||
| DF error | 605.000 | ||||
| t(b) | -14.803 | ||||
| p(b) | 1.000 | ||||
| t(a) | -0.262 | ||||
| p(a) | 0.603 | ||||
| Lowerbound of 95% confidence interval for beta | -1.029 | ||||
| Upperbound of 95% confidence interval for beta | -0.788 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.507 | ||||
| Upperbound of 95% confidence interval for alpha | 0.388 | ||||
| Treynor index (mean / b) | 0.154 | ||||
| Jensen alpha (a) | -0.060 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.202 | ||||
| SD | 0.352 | ||||
| Sharpe ratio (Glass type estimate) | -0.573 | ||||
| Sharpe ratio (Hedges UMVUE) | -0.572 | ||||
| df | 606.000 | ||||
| t | -0.761 | ||||
| p | 0.777 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.048 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.903 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -2.048 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 0.904 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -0.793 | ||||
| Upside Potential Ratio | 8.046 | ||||
| Upside part of mean | 2.048 | ||||
| Downside part of mean | -2.250 | ||||
| Upside SD | 0.244 | ||||
| Downside SD | 0.255 | ||||
| N nonnegative terms | 260.000 | ||||
| N negative terms | 347.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 607.000 | ||||
| Mean of predictor | 0.068 | ||||
| Mean of criterion | -0.202 | ||||
| SD of predictor | 0.201 | ||||
| SD of criterion | 0.352 | ||||
| Covariance | -0.036 | ||||
| r | -0.515 | ||||
| b (slope, estimate of beta) | -0.904 | ||||
| a (intercept, estimate of alpha) | -0.140 | ||||
| Mean Square Error | 0.091 | ||||
| DF error | 605.000 | ||||
| t(b) | -14.766 | ||||
| p(b) | 1.000 | ||||
| t(a) | -0.616 | ||||
| p(a) | 0.731 | ||||
| Lowerbound of 95% confidence interval for beta | -1.024 | ||||
| Upperbound of 95% confidence interval for beta | -0.783 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.587 | ||||
| Upperbound of 95% confidence interval for alpha | 0.307 | ||||
| Treynor index (mean / b) | 0.223 | ||||
| Jensen alpha (a) | -0.140 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.031 | ||||
| Expected Shortfall on VaR | 0.039 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.016 | ||||
| Expected Shortfall on VaR | 0.031 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 607.000 | ||||
| Minimum | 0.923 | ||||
| Quartile 1 | 0.992 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.008 | ||||
| Maximum | 1.094 | ||||
| Mean of quarter 1 | 0.977 | ||||
| Mean of quarter 2 | 0.997 | ||||
| Mean of quarter 3 | 1.002 | ||||
| Mean of quarter 4 | 1.022 | ||||
| Inter Quartile Range | 0.015 | ||||
| Number outliers low | 38.000 | ||||
| Percentage of outliers low | 0.063 | ||||
| Mean of outliers low | 0.958 | ||||
| Number of outliers high | 32.000 | ||||
| Percentage of outliers high | 0.053 | ||||
| Mean of outliers high | 1.045 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | 0.025 | ||||
| VaR(95%) (moments method) | 0.019 | ||||
| Expected Shortfall (moments method) | 0.027 | ||||
| Extreme Value Index (regression method) | -0.073 | ||||
| VaR(95%) (regression method) | 0.022 | ||||
| Expected Shortfall (regression method) | 0.030 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 11.000 | ||||
| Minimum | 0.000 | ||||
| Quartile 1 | 0.012 | ||||
| Median | 0.043 | ||||
| Quartile 3 | 0.100 | ||||
| Maximum | 0.445 | ||||
| Mean of quarter 1 | 0.004 | ||||
| Mean of quarter 2 | 0.024 | ||||
| Mean of quarter 3 | 0.070 | ||||
| Mean of quarter 4 | 0.242 | ||||
| Inter Quartile Range | 0.089 | ||||
| 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 | 0.091 | ||||
| Mean of outliers high | 0.445 | ||||
| Risk estimates based on draw downs (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | 0.064 | ||||
| VaR(95%) (moments method) | 0.250 | ||||
| Expected Shortfall (moments method) | 0.362 | ||||
| Extreme Value Index (regression method) | 1.808 | ||||
| VaR(95%) (regression method) | 0.494 | ||||
| Expected Shortfall (regression method) | NA | ||||
| COMBINED STATISTICS | |||||
| Annualized return (arithmetic extrapolation) | -0.138 | ||||
| Compounded annual return (geometric extrapolation) | -0.146 | ||||
| Calmar ratio (compounded annual return / max draw down) | -0.328 | ||||
| Compounded annual return / average of 25% largest draw downs | -0.603 | ||||
| Compounded annual return / Expected Shortfall lognormal | -3.747 | ||||
| ANALYSIS BASED ON DAILY VALUES, LAST 6 MONTHS (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.458 | ||||
| SD | 0.332 | ||||
| Sharpe ratio (Glass type estimate) | -1.382 | ||||
| Sharpe ratio (Hedges UMVUE) | -1.376 | ||||
| df | 171.000 | ||||
| t | -0.977 | ||||
| p | 0.547 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -4.156 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.395 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -4.152 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.399 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -1.884 | ||||
| Upside Potential Ratio | 6.656 | ||||
| Upside part of mean | 1.620 | ||||
| Downside part of mean | -2.078 | ||||
| Upside SD | 0.225 | ||||
| Downside SD | 0.243 | ||||
| N nonnegative terms | 66.000 | ||||
| N negative terms | 106.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 172.000 | ||||
| Mean of predictor | 0.261 | ||||
| Mean of criterion | -0.458 | ||||
| SD of predictor | 0.124 | ||||
| SD of criterion | 0.332 | ||||
| Covariance | -0.017 | ||||
| r | -0.416 | ||||
| b (slope, estimate of beta) | -1.109 | ||||
| a (intercept, estimate of alpha) | -0.169 | ||||
| Mean Square Error | 0.091 | ||||
| DF error | 170.000 | ||||
| t(b) | -5.968 | ||||
| p(b) | 0.708 | ||||
| t(a) | -0.392 | ||||
| p(a) | 0.515 | ||||
| Lowerbound of 95% confidence interval for beta | -1.476 | ||||
| Upperbound of 95% confidence interval for beta | -0.742 | ||||
| Lowerbound of 95% confidence interval for alpha | -1.018 | ||||
| Upperbound of 95% confidence interval for alpha | 0.681 | ||||
| Treynor index (mean / b) | 0.413 | ||||
| Jensen alpha (a) | -0.169 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.513 | ||||
| SD | 0.331 | ||||
| Sharpe ratio (Glass type estimate) | -1.549 | ||||
| Sharpe ratio (Hedges UMVUE) | -1.542 | ||||
| df | 171.000 | ||||
| t | -1.095 | ||||
| p | 0.553 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -4.323 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.230 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -4.318 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.235 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -2.062 | ||||
| Upside Potential Ratio | 6.408 | ||||
| Upside part of mean | 1.595 | ||||
| Downside part of mean | -2.108 | ||||
| Upside SD | 0.219 | ||||
| Downside SD | 0.249 | ||||
| N nonnegative terms | 66.000 | ||||
| N negative terms | 106.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 172.000 | ||||
| Mean of predictor | 0.253 | ||||
| Mean of criterion | -0.513 | ||||
| SD of predictor | 0.124 | ||||
| SD of criterion | 0.331 | ||||
| Covariance | -0.017 | ||||
| r | -0.419 | ||||
| b (slope, estimate of beta) | -1.119 | ||||
| a (intercept, estimate of alpha) | -0.230 | ||||
| Mean Square Error | 0.091 | ||||
| DF error | 170.000 | ||||
| t(b) | -6.013 | ||||
| p(b) | 0.709 | ||||
| t(a) | -0.535 | ||||
| p(a) | 0.521 | ||||
| Lowerbound of 95% confidence interval for beta | -1.486 | ||||
| Upperbound of 95% confidence interval for beta | -0.751 | ||||
| Lowerbound of 95% confidence interval for alpha | -1.078 | ||||
| Upperbound of 95% confidence interval for alpha | 0.618 | ||||
| Treynor index (mean / b) | 0.459 | ||||
| Jensen alpha (a) | -0.230 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.030 | ||||
| Expected Shortfall on VaR | 0.038 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.016 | ||||
| Expected Shortfall on VaR | 0.031 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 172.000 | ||||
| Minimum | 0.923 | ||||
| Quartile 1 | 0.994 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.005 | ||||
| Maximum | 1.094 | ||||
| Mean of quarter 1 | 0.979 | ||||
| Mean of quarter 2 | 0.997 | ||||
| Mean of quarter 3 | 1.001 | ||||
| Mean of quarter 4 | 1.018 | ||||
| Inter Quartile Range | 0.012 | ||||
| Number outliers low | 14.000 | ||||
| Percentage of outliers low | 0.081 | ||||
| Mean of outliers low | 0.962 | ||||
| Number of outliers high | 9.000 | ||||
| Percentage of outliers high | 0.052 | ||||
| Mean of outliers high | 1.042 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | 0.295 | ||||
| VaR(95%) (moments method) | 0.020 | ||||
| Expected Shortfall (moments method) | 0.034 | ||||
| Extreme Value Index (regression method) | 0.201 | ||||
| VaR(95%) (regression method) | 0.022 | ||||
| Expected Shortfall (regression method) | 0.036 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 3.000 | ||||
| Minimum | 0.002 | ||||
| Quartile 1 | 0.007 | ||||
| Median | 0.011 | ||||
| Quartile 3 | 0.115 | ||||
| Maximum | 0.218 | ||||
| Mean of quarter 1 | 0.002 | ||||
| Mean of quarter 2 | 0.011 | ||||
| Mean of quarter 3 | NA | ||||
| Mean of quarter 4 | 0.218 | ||||
| Inter Quartile Range | 0.108 | ||||
| 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) | -0.418 | ||||
| Compounded annual return (geometric extrapolation) | -0.375 | ||||
| Calmar ratio (compounded annual return / max draw down) | -1.716 | ||||
| Compounded annual return / average of 25% largest draw downs | -1.716 | ||||
| Compounded annual return / Expected Shortfall lognormal | -9.960 | ||||


