Advanced Statistics: Super Oil
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 | -0.641 | ||||
| SD | 0.624 | ||||
| Sharpe ratio (Glass type estimate) | -1.027 | ||||
| Sharpe ratio (Hedges UMVUE) | -1.005 | ||||
| df | 35.000 | ||||
| t | -1.779 | ||||
| p | 0.958 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.177 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.137 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -2.161 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 0.151 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -1.032 | ||||
| Upside Potential Ratio | 0.216 | ||||
| Upside part of mean | 0.134 | ||||
| Downside part of mean | -0.775 | ||||
| Upside SD | 0.166 | ||||
| Downside SD | 0.621 | ||||
| N nonnegative terms | 3.000 | ||||
| N negative terms | 33.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 36.000 | ||||
| Mean of predictor | 0.037 | ||||
| Mean of criterion | -0.641 | ||||
| SD of predictor | 0.267 | ||||
| SD of criterion | 0.624 | ||||
| Covariance | -0.034 | ||||
| r | -0.206 | ||||
| b (slope, estimate of beta) | -0.481 | ||||
| a (intercept, estimate of alpha) | -0.623 | ||||
| Mean Square Error | 0.384 | ||||
| DF error | 34.000 | ||||
| t(b) | -1.227 | ||||
| p(b) | 0.886 | ||||
| t(a) | -1.740 | ||||
| p(a) | 0.955 | ||||
| Lowerbound of 95% confidence interval for beta | -1.277 | ||||
| Upperbound of 95% confidence interval for beta | 0.315 | ||||
| Lowerbound of 95% confidence interval for alpha | -1.351 | ||||
| Upperbound of 95% confidence interval for alpha | 0.105 | ||||
| Treynor index (mean / b) | 1.333 | ||||
| Jensen alpha (a) | -0.623 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -1.013 | ||||
| SD | 0.988 | ||||
| Sharpe ratio (Glass type estimate) | -1.026 | ||||
| Sharpe ratio (Hedges UMVUE) | -1.004 | ||||
| df | 35.000 | ||||
| t | -1.777 | ||||
| p | 0.958 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.175 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.138 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -2.159 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 0.152 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -1.007 | ||||
| Upside Potential Ratio | 0.121 | ||||
| Upside part of mean | 0.122 | ||||
| Downside part of mean | -1.135 | ||||
| Upside SD | 0.150 | ||||
| Downside SD | 1.006 | ||||
| N nonnegative terms | 3.000 | ||||
| N negative terms | 33.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 36.000 | ||||
| Mean of predictor | 0.000 | ||||
| Mean of criterion | -1.013 | ||||
| SD of predictor | 0.282 | ||||
| SD of criterion | 0.988 | ||||
| Covariance | -0.045 | ||||
| r | -0.161 | ||||
| b (slope, estimate of beta) | -0.564 | ||||
| a (intercept, estimate of alpha) | -1.013 | ||||
| Mean Square Error | 0.978 | ||||
| DF error | 34.000 | ||||
| t(b) | -0.953 | ||||
| p(b) | 0.826 | ||||
| t(a) | -1.774 | ||||
| p(a) | 0.958 | ||||
| Lowerbound of 95% confidence interval for beta | -1.767 | ||||
| Upperbound of 95% confidence interval for beta | 0.639 | ||||
| Lowerbound of 95% confidence interval for alpha | -2.174 | ||||
| Upperbound of 95% confidence interval for alpha | 0.147 | ||||
| Treynor index (mean / b) | 1.797 | ||||
| Jensen alpha (a) | -1.013 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.425 | ||||
| Expected Shortfall on VaR | 0.487 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.214 | ||||
| Expected Shortfall on VaR | 0.436 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 36.000 | ||||
| Minimum | 0.286 | ||||
| Quartile 1 | 1.000 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.000 | ||||
| Maximum | 1.238 | ||||
| Mean of quarter 1 | 0.755 | ||||
| Mean of quarter 2 | 1.000 | ||||
| Mean of quarter 3 | 1.000 | ||||
| Mean of quarter 4 | 1.046 | ||||
| Inter Quartile Range | 0.000 | ||||
| Number outliers low | 8.000 | ||||
| Percentage of outliers low | 0.222 | ||||
| Mean of outliers low | 0.724 | ||||
| Number of outliers high | 3.000 | ||||
| Percentage of outliers high | 0.083 | ||||
| Mean of outliers high | 1.138 | ||||
| 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) | 0.625 | ||||
| VaR(95%) (regression method) | 0.159 | ||||
| Expected Shortfall (regression method) | 0.579 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 1.000 | ||||
| Minimum | 0.953 | ||||
| Quartile 1 | 0.953 | ||||
| Median | 0.953 | ||||
| Quartile 3 | 0.953 | ||||
| Maximum | 0.953 | ||||
| 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) | -0.315 | ||||
| Compounded annual return (geometric extrapolation) | -0.621 | ||||
| Calmar ratio (compounded annual return / max draw down) | -0.651 | ||||
| Compounded annual return / average of 25% largest draw downs | NA | ||||
| Compounded annual return / Expected Shortfall lognormal | -1.275 | ||||
| ANALYSIS BASED ON DAILY VALUES, FULL HISTORY (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.753 | ||||
| SD | 0.668 | ||||
| Sharpe ratio (Glass type estimate) | -1.127 | ||||
| Sharpe ratio (Hedges UMVUE) | -1.126 | ||||
| df | 1053.000 | ||||
| t | -1.972 | ||||
| p | 0.539 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.247 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | -0.006 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -2.247 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -0.005 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -1.434 | ||||
| Upside Potential Ratio | 2.198 | ||||
| Upside part of mean | 1.154 | ||||
| Downside part of mean | -1.906 | ||||
| Upside SD | 0.415 | ||||
| Downside SD | 0.525 | ||||
| N nonnegative terms | 79.000 | ||||
| N negative terms | 975.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 1054.000 | ||||
| Mean of predictor | 0.107 | ||||
| Mean of criterion | -0.753 | ||||
| SD of predictor | 0.314 | ||||
| SD of criterion | 0.668 | ||||
| Covariance | 0.010 | ||||
| r | 0.049 | ||||
| b (slope, estimate of beta) | 0.104 | ||||
| a (intercept, estimate of alpha) | -0.764 | ||||
| Mean Square Error | 0.446 | ||||
| DF error | 1052.000 | ||||
| t(b) | 1.596 | ||||
| p(b) | 0.475 | ||||
| t(a) | -2.002 | ||||
| p(a) | 0.531 | ||||
| Lowerbound of 95% confidence interval for beta | -0.024 | ||||
| Upperbound of 95% confidence interval for beta | 0.233 | ||||
| Lowerbound of 95% confidence interval for alpha | -1.513 | ||||
| Upperbound of 95% confidence interval for alpha | -0.015 | ||||
| Treynor index (mean / b) | -7.205 | ||||
| Jensen alpha (a) | -0.764 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.993 | ||||
| SD | 0.708 | ||||
| Sharpe ratio (Glass type estimate) | -1.402 | ||||
| Sharpe ratio (Hedges UMVUE) | -1.401 | ||||
| df | 1053.000 | ||||
| t | -2.455 | ||||
| p | 0.548 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.523 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | -0.281 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -2.523 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -0.280 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -1.651 | ||||
| Upside Potential Ratio | 1.792 | ||||
| Upside part of mean | 1.078 | ||||
| Downside part of mean | -2.071 | ||||
| Upside SD | 0.377 | ||||
| Downside SD | 0.601 | ||||
| N nonnegative terms | 79.000 | ||||
| N negative terms | 975.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 1054.000 | ||||
| Mean of predictor | 0.057 | ||||
| Mean of criterion | -0.993 | ||||
| SD of predictor | 0.314 | ||||
| SD of criterion | 0.708 | ||||
| Covariance | 0.010 | ||||
| r | 0.046 | ||||
| b (slope, estimate of beta) | 0.103 | ||||
| a (intercept, estimate of alpha) | -0.999 | ||||
| Mean Square Error | 0.501 | ||||
| DF error | 1052.000 | ||||
| t(b) | 1.483 | ||||
| p(b) | 0.477 | ||||
| t(a) | -2.471 | ||||
| p(a) | 0.538 | ||||
| Lowerbound of 95% confidence interval for beta | -0.033 | ||||
| Upperbound of 95% confidence interval for beta | 0.239 | ||||
| Lowerbound of 95% confidence interval for alpha | -1.792 | ||||
| Upperbound of 95% confidence interval for alpha | -0.206 | ||||
| Treynor index (mean / b) | -9.645 | ||||
| Jensen alpha (a) | -0.999 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.064 | ||||
| Expected Shortfall on VaR | 0.078 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.018 | ||||
| Expected Shortfall on VaR | 0.041 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 1054.000 | ||||
| Minimum | 0.570 | ||||
| Quartile 1 | 1.000 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.000 | ||||
| Maximum | 1.332 | ||||
| Mean of quarter 1 | 0.978 | ||||
| Mean of quarter 2 | 1.000 | ||||
| Mean of quarter 3 | 1.000 | ||||
| Mean of quarter 4 | 1.013 | ||||
| Inter Quartile Range | 0.000 | ||||
| Number outliers low | 95.000 | ||||
| Percentage of outliers low | 0.090 | ||||
| Mean of outliers low | 0.940 | ||||
| Number of outliers high | 79.000 | ||||
| Percentage of outliers high | 0.075 | ||||
| Mean of outliers high | 1.045 | ||||
| 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 | 3.000 | ||||
| Minimum | 0.043 | ||||
| Quartile 1 | 0.054 | ||||
| Median | 0.066 | ||||
| Quartile 3 | 0.510 | ||||
| Maximum | 0.953 | ||||
| Mean of quarter 1 | 0.043 | ||||
| Mean of quarter 2 | 0.066 | ||||
| Mean of quarter 3 | NA | ||||
| Mean of quarter 4 | 0.953 | ||||
| Inter Quartile Range | 0.455 | ||||
| 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) | -0.309 | ||||
| Compounded annual return (geometric extrapolation) | -0.613 | ||||
| Calmar ratio (compounded annual return / max draw down) | -0.643 | ||||
| Compounded annual return / average of 25% largest draw downs | -0.643 | ||||
| Compounded annual return / Expected Shortfall lognormal | -7.827 | ||||
| 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 | 0.682 | ||||
| Mean of criterion | -0.044 | ||||
| SD of predictor | 0.300 | ||||
| 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 | 0.637 | ||||
| Mean of criterion | -0.044 | ||||
| SD of predictor | 0.297 | ||||
| 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) | -5558445082394382.000 | ||||
| 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) | -38417928134430601537620119912448.000 | ||||
| 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 | ||||


