Advanced Statistics: Legacy Metals
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 | -0.034 | ||||
| SD | 0.007 | ||||
| Sharpe ratio (Glass type estimate) | -5.020 | ||||
| Sharpe ratio (Hedges UMVUE) | -4.005 | ||||
| df | 4.000 | ||||
| t | -3.240 | ||||
| p | 0.984 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -9.423 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | -0.384 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -8.119 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 0.109 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -2.960 | ||||
| Upside Potential Ratio | 0.139 | ||||
| Upside part of mean | 0.002 | ||||
| Downside part of mean | -0.035 | ||||
| Upside SD | 0.001 | ||||
| Downside SD | 0.011 | ||||
| N nonnegative terms | 1.000 | ||||
| N negative terms | 4.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 5.000 | ||||
| Mean of predictor | 0.348 | ||||
| Mean of criterion | -0.034 | ||||
| SD of predictor | 0.252 | ||||
| SD of criterion | 0.007 | ||||
| Covariance | -0.000 | ||||
| r | -0.037 | ||||
| b (slope, estimate of beta) | -0.001 | ||||
| a (intercept, estimate of alpha) | -0.033 | ||||
| Mean Square Error | 0.000 | ||||
| DF error | 3.000 | ||||
| t(b) | -0.064 | ||||
| p(b) | 0.523 | ||||
| t(a) | -2.539 | ||||
| p(a) | 0.958 | ||||
| Lowerbound of 95% confidence interval for beta | -0.050 | ||||
| Upperbound of 95% confidence interval for beta | 0.048 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.075 | ||||
| Upperbound of 95% confidence interval for alpha | 0.008 | ||||
| Treynor index (mean / b) | 34.518 | ||||
| Jensen alpha (a) | -0.033 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.034 | ||||
| SD | 0.007 | ||||
| Sharpe ratio (Glass type estimate) | -5.022 | ||||
| Sharpe ratio (Hedges UMVUE) | -4.007 | ||||
| df | 4.000 | ||||
| t | -3.242 | ||||
| p | 0.984 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -9.426 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | -0.385 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -8.121 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 0.108 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -2.960 | ||||
| Upside Potential Ratio | 0.139 | ||||
| Upside part of mean | 0.002 | ||||
| Downside part of mean | -0.035 | ||||
| Upside SD | 0.001 | ||||
| Downside SD | 0.011 | ||||
| N nonnegative terms | 1.000 | ||||
| N negative terms | 4.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 5.000 | ||||
| Mean of predictor | 0.317 | ||||
| Mean of criterion | -0.034 | ||||
| SD of predictor | 0.252 | ||||
| SD of criterion | 0.007 | ||||
| Covariance | -0.000 | ||||
| r | -0.020 | ||||
| b (slope, estimate of beta) | -0.001 | ||||
| a (intercept, estimate of alpha) | -0.033 | ||||
| Mean Square Error | 0.000 | ||||
| DF error | 3.000 | ||||
| t(b) | -0.034 | ||||
| p(b) | 0.513 | ||||
| t(a) | -2.589 | ||||
| p(a) | 0.959 | ||||
| Lowerbound of 95% confidence interval for beta | -0.049 | ||||
| Upperbound of 95% confidence interval for beta | 0.048 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.075 | ||||
| Upperbound of 95% confidence interval for alpha | 0.008 | ||||
| Treynor index (mean / b) | 64.431 | ||||
| Jensen alpha (a) | -0.033 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.006 | ||||
| Expected Shortfall on VaR | 0.007 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.005 | ||||
| Expected Shortfall on VaR | 0.005 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 5.000 | ||||
| Minimum | 1.000 | ||||
| Quartile 1 | 1.000 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.000 | ||||
| Maximum | 1.004 | ||||
| Mean of quarter 1 | 1.000 | ||||
| Mean of quarter 2 | 1.000 | ||||
| Mean of quarter 3 | 1.000 | ||||
| Mean of quarter 4 | 1.004 | ||||
| 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 | 1.000 | ||||
| Percentage of outliers high | 0.200 | ||||
| Mean of outliers high | 1.004 | ||||
| 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) | 0.010 | ||||
| Compounded annual return (geometric extrapolation) | 0.010 | ||||
| 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 | 1.541 | ||||
| ANALYSIS BASED ON DAILY VALUES, FULL HISTORY (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.028 | ||||
| SD | 0.114 | ||||
| Sharpe ratio (Glass type estimate) | -0.242 | ||||
| Sharpe ratio (Hedges UMVUE) | -0.241 | ||||
| df | 146.000 | ||||
| t | -0.158 | ||||
| p | 0.507 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -3.240 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.757 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -3.239 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 2.758 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -0.419 | ||||
| Upside Potential Ratio | 3.510 | ||||
| Upside part of mean | 0.231 | ||||
| Downside part of mean | -0.259 | ||||
| Upside SD | 0.092 | ||||
| Downside SD | 0.066 | ||||
| N nonnegative terms | 4.000 | ||||
| N negative terms | 143.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 147.000 | ||||
| Mean of predictor | 0.418 | ||||
| Mean of criterion | -0.028 | ||||
| SD of predictor | 0.205 | ||||
| SD of criterion | 0.114 | ||||
| Covariance | -0.001 | ||||
| r | -0.058 | ||||
| b (slope, estimate of beta) | -0.032 | ||||
| a (intercept, estimate of alpha) | -0.014 | ||||
| Mean Square Error | 0.013 | ||||
| DF error | 145.000 | ||||
| t(b) | -0.699 | ||||
| p(b) | 0.537 | ||||
| t(a) | -0.080 | ||||
| p(a) | 0.504 | ||||
| Lowerbound of 95% confidence interval for beta | -0.123 | ||||
| Upperbound of 95% confidence interval for beta | 0.059 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.361 | ||||
| Upperbound of 95% confidence interval for alpha | 0.333 | ||||
| Treynor index (mean / b) | 0.856 | ||||
| Jensen alpha (a) | -0.014 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.034 | ||||
| SD | 0.113 | ||||
| Sharpe ratio (Glass type estimate) | -0.301 | ||||
| Sharpe ratio (Hedges UMVUE) | -0.299 | ||||
| df | 146.000 | ||||
| t | -0.197 | ||||
| p | 0.508 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -3.299 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.698 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -3.298 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 2.699 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -0.509 | ||||
| Upside Potential Ratio | 3.402 | ||||
| Upside part of mean | 0.227 | ||||
| Downside part of mean | -0.261 | ||||
| Upside SD | 0.090 | ||||
| Downside SD | 0.067 | ||||
| N nonnegative terms | 4.000 | ||||
| N negative terms | 143.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 147.000 | ||||
| Mean of predictor | 0.397 | ||||
| Mean of criterion | -0.034 | ||||
| SD of predictor | 0.204 | ||||
| SD of criterion | 0.113 | ||||
| Covariance | -0.001 | ||||
| r | -0.058 | ||||
| b (slope, estimate of beta) | -0.032 | ||||
| a (intercept, estimate of alpha) | -0.021 | ||||
| Mean Square Error | 0.013 | ||||
| DF error | 145.000 | ||||
| t(b) | -0.703 | ||||
| p(b) | 0.537 | ||||
| t(a) | -0.122 | ||||
| p(a) | 0.506 | ||||
| Lowerbound of 95% confidence interval for beta | -0.123 | ||||
| Upperbound of 95% confidence interval for beta | 0.058 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.364 | ||||
| Upperbound of 95% confidence interval for alpha | 0.322 | ||||
| Treynor index (mean / b) | 1.053 | ||||
| Jensen alpha (a) | -0.021 | ||||
| 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%) | 0.003 | ||||
| Expected Shortfall on VaR | 0.006 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 147.000 | ||||
| Minimum | 0.968 | ||||
| Quartile 1 | 1.000 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.000 | ||||
| Maximum | 1.053 | ||||
| Mean of quarter 1 | 0.998 | ||||
| Mean of quarter 2 | 1.000 | ||||
| Mean of quarter 3 | 1.000 | ||||
| Mean of quarter 4 | 1.003 | ||||
| Inter Quartile Range | 0.000 | ||||
| Number outliers low | 7.000 | ||||
| Percentage of outliers low | 0.048 | ||||
| Mean of outliers low | 0.987 | ||||
| Number of outliers high | 4.000 | ||||
| Percentage of outliers high | 0.027 | ||||
| Mean of outliers high | 1.025 | ||||
| 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) | 0.163 | ||||
| VaR(95%) (regression method) | 0.001 | ||||
| Expected Shortfall (regression method) | 0.008 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 2.000 | ||||
| Minimum | 0.017 | ||||
| Quartile 1 | 0.031 | ||||
| Median | 0.045 | ||||
| Quartile 3 | 0.059 | ||||
| Maximum | 0.073 | ||||
| Mean of quarter 1 | 0.017 | ||||
| Mean of quarter 2 | NA | ||||
| Mean of quarter 3 | NA | ||||
| Mean of quarter 4 | 0.073 | ||||
| Inter Quartile Range | 0.028 | ||||
| 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) | 0.010 | ||||
| Compounded annual return (geometric extrapolation) | 0.010 | ||||
| Calmar ratio (compounded annual return / max draw down) | 0.139 | ||||
| Compounded annual return / average of 25% largest draw downs | 0.139 | ||||
| Compounded annual return / Expected Shortfall lognormal | 0.810 | ||||


