Advanced Statistics: ETF OPTION TIMER
Advanced Statistics module contributed by Jules Ellis, C2 Member. Jules has written a very helpful guide for these statistics. | |||||
| |||||
| ANALYSIS BASED ON MONTHLY VALUES, FULL HISTORY (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.020 | ||||
| SD | 0.121 | ||||
| Sharpe ratio (Glass type estimate) | 0.162 | ||||
| Sharpe ratio (Hedges UMVUE) | 0.154 | ||||
| df | 17.000 | ||||
| t | 0.198 | ||||
| p | 0.469 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.442 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.761 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -1.447 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.756 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 0.248 | ||||
| Upside Potential Ratio | 1.881 | ||||
| Upside part of mean | 0.149 | ||||
| Downside part of mean | -0.129 | ||||
| Upside SD | 0.088 | ||||
| Downside SD | 0.079 | ||||
| N nonnegative terms | 5.000 | ||||
| N negative terms | 13.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 18.000 | ||||
| Mean of predictor | 0.175 | ||||
| Mean of criterion | 0.020 | ||||
| SD of predictor | 0.098 | ||||
| SD of criterion | 0.121 | ||||
| Covariance | 0.002 | ||||
| r | 0.191 | ||||
| b (slope, estimate of beta) | 0.236 | ||||
| a (intercept, estimate of alpha) | -0.022 | ||||
| Mean Square Error | 0.015 | ||||
| DF error | 16.000 | ||||
| t(b) | 0.780 | ||||
| p(b) | 0.404 | ||||
| t(a) | -0.191 | ||||
| p(a) | 0.524 | ||||
| Lowerbound of 95% confidence interval for beta | -0.406 | ||||
| Upperbound of 95% confidence interval for beta | 0.879 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.262 | ||||
| Upperbound of 95% confidence interval for alpha | 0.219 | ||||
| Treynor index (mean / b) | 0.083 | ||||
| Jensen alpha (a) | -0.022 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.013 | ||||
| SD | 0.121 | ||||
| Sharpe ratio (Glass type estimate) | 0.104 | ||||
| Sharpe ratio (Hedges UMVUE) | 0.100 | ||||
| df | 17.000 | ||||
| t | 0.128 | ||||
| p | 0.480 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.498 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.704 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -1.501 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.700 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 0.155 | ||||
| Upside Potential Ratio | 1.777 | ||||
| Upside part of mean | 0.144 | ||||
| Downside part of mean | -0.132 | ||||
| Upside SD | 0.085 | ||||
| Downside SD | 0.081 | ||||
| N nonnegative terms | 5.000 | ||||
| N negative terms | 13.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 18.000 | ||||
| Mean of predictor | 0.168 | ||||
| Mean of criterion | 0.013 | ||||
| SD of predictor | 0.097 | ||||
| SD of criterion | 0.121 | ||||
| Covariance | 0.002 | ||||
| r | 0.204 | ||||
| b (slope, estimate of beta) | 0.254 | ||||
| a (intercept, estimate of alpha) | -0.030 | ||||
| Mean Square Error | 0.015 | ||||
| DF error | 16.000 | ||||
| t(b) | 0.831 | ||||
| p(b) | 0.398 | ||||
| t(a) | -0.268 | ||||
| p(a) | 0.533 | ||||
| Lowerbound of 95% confidence interval for beta | -0.393 | ||||
| Upperbound of 95% confidence interval for beta | 0.901 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.268 | ||||
| Upperbound of 95% confidence interval for alpha | 0.208 | ||||
| Treynor index (mean / b) | 0.050 | ||||
| Jensen alpha (a) | -0.030 | ||||
| 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 | 0.068 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.031 | ||||
| Expected Shortfall on VaR | 0.059 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 18.000 | ||||
| Minimum | 0.930 | ||||
| Quartile 1 | 1.000 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.020 | ||||
| Maximum | 1.074 | ||||
| Mean of quarter 1 | 0.971 | ||||
| Mean of quarter 2 | 1.000 | ||||
| Mean of quarter 3 | 1.000 | ||||
| Mean of quarter 4 | 1.048 | ||||
| Inter Quartile Range | 0.020 | ||||
| Number outliers low | 2.000 | ||||
| Percentage of outliers low | 0.111 | ||||
| Mean of outliers low | 0.940 | ||||
| Number of outliers high | 2.000 | ||||
| Percentage of outliers high | 0.111 | ||||
| Mean of outliers high | 1.068 | ||||
| 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) | -1.319 | ||||
| VaR(95%) (regression method) | 0.076 | ||||
| Expected Shortfall (regression method) | 0.084 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 2.000 | ||||
| Minimum | 0.027 | ||||
| Quartile 1 | 0.037 | ||||
| Median | 0.048 | ||||
| Quartile 3 | 0.059 | ||||
| Maximum | 0.070 | ||||
| Mean of quarter 1 | 0.027 | ||||
| Mean of quarter 2 | NA | ||||
| Mean of quarter 3 | NA | ||||
| Mean of quarter 4 | 0.070 | ||||
| Inter Quartile Range | 0.021 | ||||
| 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) | 0.059 | ||||
| Compounded annual return (geometric extrapolation) | 0.058 | ||||
| Calmar ratio (compounded annual return / max draw down) | 0.838 | ||||
| Compounded annual return / average of 25% largest draw downs | 0.838 | ||||
| Compounded annual return / Expected Shortfall lognormal | 0.852 | ||||
| ANALYSIS BASED ON DAILY VALUES, FULL HISTORY (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.019 | ||||
| SD | 0.119 | ||||
| Sharpe ratio (Glass type estimate) | 0.159 | ||||
| Sharpe ratio (Hedges UMVUE) | 0.159 | ||||
| df | 522.000 | ||||
| t | 0.197 | ||||
| p | 0.422 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.430 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.749 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -1.430 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.749 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 0.223 | ||||
| Upside Potential Ratio | 5.302 | ||||
| Upside part of mean | 0.450 | ||||
| Downside part of mean | -0.431 | ||||
| Upside SD | 0.083 | ||||
| Downside SD | 0.085 | ||||
| N nonnegative terms | 110.000 | ||||
| N negative terms | 413.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 523.000 | ||||
| Mean of predictor | 0.188 | ||||
| Mean of criterion | 0.019 | ||||
| SD of predictor | 0.133 | ||||
| SD of criterion | 0.119 | ||||
| Covariance | 0.002 | ||||
| r | 0.119 | ||||
| b (slope, estimate of beta) | 0.106 | ||||
| a (intercept, estimate of alpha) | -0.001 | ||||
| Mean Square Error | 0.014 | ||||
| DF error | 521.000 | ||||
| t(b) | 2.732 | ||||
| p(b) | 0.003 | ||||
| t(a) | -0.010 | ||||
| p(a) | 0.504 | ||||
| Lowerbound of 95% confidence interval for beta | 0.030 | ||||
| Upperbound of 95% confidence interval for beta | 0.182 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.189 | ||||
| Upperbound of 95% confidence interval for alpha | 0.187 | ||||
| Treynor index (mean / b) | 0.179 | ||||
| Jensen alpha (a) | -0.001 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.012 | ||||
| SD | 0.119 | ||||
| Sharpe ratio (Glass type estimate) | 0.100 | ||||
| Sharpe ratio (Hedges UMVUE) | 0.100 | ||||
| df | 522.000 | ||||
| t | 0.123 | ||||
| p | 0.451 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.489 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.690 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -1.490 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.690 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 0.138 | ||||
| Upside Potential Ratio | 5.197 | ||||
| Upside part of mean | 0.446 | ||||
| Downside part of mean | -0.434 | ||||
| Upside SD | 0.082 | ||||
| Downside SD | 0.086 | ||||
| N nonnegative terms | 110.000 | ||||
| N negative terms | 413.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 523.000 | ||||
| Mean of predictor | 0.179 | ||||
| Mean of criterion | 0.012 | ||||
| SD of predictor | 0.133 | ||||
| SD of criterion | 0.119 | ||||
| Covariance | 0.002 | ||||
| r | 0.119 | ||||
| b (slope, estimate of beta) | 0.106 | ||||
| a (intercept, estimate of alpha) | -0.007 | ||||
| Mean Square Error | 0.014 | ||||
| DF error | 521.000 | ||||
| t(b) | 2.735 | ||||
| p(b) | 0.003 | ||||
| t(a) | -0.074 | ||||
| p(a) | 0.529 | ||||
| Lowerbound of 95% confidence interval for beta | 0.030 | ||||
| Upperbound of 95% confidence interval for beta | 0.182 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.195 | ||||
| Upperbound of 95% confidence interval for alpha | 0.181 | ||||
| Treynor index (mean / b) | 0.112 | ||||
| Jensen alpha (a) | -0.007 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.010 | ||||
| Expected Shortfall on VaR | 0.013 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.004 | ||||
| Expected Shortfall on VaR | 0.008 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 523.000 | ||||
| Minimum | 0.963 | ||||
| Quartile 1 | 1.000 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.000 | ||||
| Maximum | 1.037 | ||||
| Mean of quarter 1 | 0.995 | ||||
| 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 | 70.000 | ||||
| Percentage of outliers low | 0.134 | ||||
| Mean of outliers low | 0.991 | ||||
| Number of outliers high | 111.000 | ||||
| Percentage of outliers high | 0.212 | ||||
| Mean of outliers high | 1.006 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | 0.169 | ||||
| VaR(95%) (moments method) | 0.002 | ||||
| Expected Shortfall (moments method) | 0.005 | ||||
| Extreme Value Index (regression method) | 0.070 | ||||
| VaR(95%) (regression method) | 0.005 | ||||
| Expected Shortfall (regression method) | 0.011 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 9.000 | ||||
| Minimum | 0.000 | ||||
| Quartile 1 | 0.002 | ||||
| Median | 0.004 | ||||
| Quartile 3 | 0.083 | ||||
| Maximum | 0.132 | ||||
| Mean of quarter 1 | 0.001 | ||||
| Mean of quarter 2 | 0.004 | ||||
| Mean of quarter 3 | 0.046 | ||||
| Mean of quarter 4 | 0.116 | ||||
| Inter Quartile Range | 0.081 | ||||
| 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) | -2.125 | ||||
| VaR(95%) (moments method) | 0.121 | ||||
| Expected Shortfall (moments method) | 0.122 | ||||
| Extreme Value Index (regression method) | -0.179 | ||||
| VaR(95%) (regression method) | 0.141 | ||||
| Expected Shortfall (regression method) | 0.165 | ||||
| COMBINED STATISTICS | |||||
| Annualized return (arithmetic extrapolation) | 0.058 | ||||
| Compounded annual return (geometric extrapolation) | 0.057 | ||||
| Calmar ratio (compounded annual return / max draw down) | 0.436 | ||||
| Compounded annual return / average of 25% largest draw downs | 0.495 | ||||
| Compounded annual return / Expected Shortfall lognormal | 4.399 | ||||
| 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 | 0.341 | ||||
| Mean of criterion | -0.044 | ||||
| SD of predictor | 0.119 | ||||
| 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 | 0.334 | ||||
| Mean of criterion | -0.044 | ||||
| SD of predictor | 0.119 | ||||
| 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) | -5532190328353218.000 | ||||
| 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) | 12735596804952192075225626574848.000 | ||||
| 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 | ||||


