Advanced Statistics: MiniAnalyst.com | MSA_U_DT
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 | 0.344 | ||||
| SD | 0.484 | ||||
| Sharpe ratio (Glass type estimate) | 0.711 | ||||
| Sharpe ratio (Hedges UMVUE) | 0.700 | ||||
| df | 50.000 | ||||
| t | 1.466 | ||||
| p | 0.074 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.253 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.668 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -0.260 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.661 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 1.835 | ||||
| Upside Potential Ratio | 3.478 | ||||
| Upside part of mean | 0.652 | ||||
| Downside part of mean | -0.308 | ||||
| Upside SD | 0.452 | ||||
| Downside SD | 0.187 | ||||
| N nonnegative terms | 14.000 | ||||
| N negative terms | 37.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 51.000 | ||||
| Mean of predictor | 0.386 | ||||
| Mean of criterion | 0.344 | ||||
| SD of predictor | 0.290 | ||||
| SD of criterion | 0.484 | ||||
| Covariance | -0.003 | ||||
| r | -0.018 | ||||
| b (slope, estimate of beta) | -0.031 | ||||
| a (intercept, estimate of alpha) | 0.356 | ||||
| Mean Square Error | 0.239 | ||||
| DF error | 49.000 | ||||
| t(b) | -0.129 | ||||
| p(b) | 0.551 | ||||
| t(a) | 1.400 | ||||
| p(a) | 0.084 | ||||
| Lowerbound of 95% confidence interval for beta | -0.509 | ||||
| Upperbound of 95% confidence interval for beta | 0.447 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.155 | ||||
| Upperbound of 95% confidence interval for alpha | 0.867 | ||||
| Treynor index (mean / b) | -11.197 | ||||
| Jensen alpha (a) | 0.356 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.243 | ||||
| SD | 0.428 | ||||
| Sharpe ratio (Glass type estimate) | 0.567 | ||||
| Sharpe ratio (Hedges UMVUE) | 0.559 | ||||
| df | 50.000 | ||||
| t | 1.170 | ||||
| p | 0.124 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.393 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.522 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -0.398 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.516 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 1.202 | ||||
| Upside Potential Ratio | 2.816 | ||||
| Upside part of mean | 0.569 | ||||
| Downside part of mean | -0.326 | ||||
| Upside SD | 0.379 | ||||
| Downside SD | 0.202 | ||||
| N nonnegative terms | 14.000 | ||||
| N negative terms | 37.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 51.000 | ||||
| Mean of predictor | 0.342 | ||||
| Mean of criterion | 0.243 | ||||
| SD of predictor | 0.273 | ||||
| SD of criterion | 0.428 | ||||
| Covariance | 0.000 | ||||
| r | 0.002 | ||||
| b (slope, estimate of beta) | 0.003 | ||||
| a (intercept, estimate of alpha) | 0.242 | ||||
| Mean Square Error | 0.187 | ||||
| DF error | 49.000 | ||||
| t(b) | 0.013 | ||||
| p(b) | 0.495 | ||||
| t(a) | 1.083 | ||||
| p(a) | 0.142 | ||||
| Lowerbound of 95% confidence interval for beta | -0.447 | ||||
| Upperbound of 95% confidence interval for beta | 0.453 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.207 | ||||
| Upperbound of 95% confidence interval for alpha | 0.691 | ||||
| Treynor index (mean / b) | 84.770 | ||||
| Jensen alpha (a) | 0.242 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.167 | ||||
| Expected Shortfall on VaR | 0.208 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.074 | ||||
| Expected Shortfall on VaR | 0.140 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 51.000 | ||||
| Minimum | 0.791 | ||||
| Quartile 1 | 0.993 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.065 | ||||
| Maximum | 1.583 | ||||
| Mean of quarter 1 | 0.910 | ||||
| Mean of quarter 2 | 1.000 | ||||
| Mean of quarter 3 | 1.005 | ||||
| Mean of quarter 4 | 1.212 | ||||
| Inter Quartile Range | 0.072 | ||||
| Number outliers low | 3.000 | ||||
| Percentage of outliers low | 0.059 | ||||
| Mean of outliers low | 0.836 | ||||
| Number of outliers high | 7.000 | ||||
| Percentage of outliers high | 0.137 | ||||
| Mean of outliers high | 1.311 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | -3.815 | ||||
| VaR(95%) (moments method) | 0.046 | ||||
| Expected Shortfall (moments method) | 0.046 | ||||
| Extreme Value Index (regression method) | -0.299 | ||||
| VaR(95%) (regression method) | 0.089 | ||||
| Expected Shortfall (regression method) | 0.117 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 5.000 | ||||
| Minimum | 0.074 | ||||
| Quartile 1 | 0.115 | ||||
| Median | 0.116 | ||||
| Quartile 3 | 0.284 | ||||
| Maximum | 0.335 | ||||
| Mean of quarter 1 | 0.094 | ||||
| Mean of quarter 2 | 0.116 | ||||
| Mean of quarter 3 | 0.284 | ||||
| Mean of quarter 4 | 0.335 | ||||
| Inter Quartile Range | 0.169 | ||||
| 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) | 0.561 | ||||
| Compounded annual return (geometric extrapolation) | 0.332 | ||||
| Calmar ratio (compounded annual return / max draw down) | 0.991 | ||||
| Compounded annual return / average of 25% largest draw downs | 0.991 | ||||
| Compounded annual return / Expected Shortfall lognormal | 1.595 | ||||
| ANALYSIS BASED ON DAILY VALUES, FULL HISTORY (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.359 | ||||
| SD | 0.552 | ||||
| Sharpe ratio (Glass type estimate) | 0.651 | ||||
| Sharpe ratio (Hedges UMVUE) | 0.650 | ||||
| df | 1124.000 | ||||
| t | 1.348 | ||||
| p | 0.480 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.296 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.597 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -0.296 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.596 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 1.671 | ||||
| Upside Potential Ratio | 5.881 | ||||
| Upside part of mean | 1.264 | ||||
| Downside part of mean | -0.905 | ||||
| Upside SD | 0.509 | ||||
| Downside SD | 0.215 | ||||
| N nonnegative terms | 194.000 | ||||
| N negative terms | 931.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 1125.000 | ||||
| Mean of predictor | 0.398 | ||||
| Mean of criterion | 0.359 | ||||
| SD of predictor | 0.267 | ||||
| SD of criterion | 0.552 | ||||
| Covariance | 0.010 | ||||
| r | 0.068 | ||||
| b (slope, estimate of beta) | 0.141 | ||||
| a (intercept, estimate of alpha) | 0.303 | ||||
| Mean Square Error | 0.304 | ||||
| DF error | 1123.000 | ||||
| t(b) | 2.285 | ||||
| p(b) | 0.457 | ||||
| t(a) | 1.135 | ||||
| p(a) | 0.478 | ||||
| Lowerbound of 95% confidence interval for beta | 0.020 | ||||
| Upperbound of 95% confidence interval for beta | 0.261 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.221 | ||||
| Upperbound of 95% confidence interval for alpha | 0.827 | ||||
| Treynor index (mean / b) | 2.555 | ||||
| Jensen alpha (a) | 0.303 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.240 | ||||
| SD | 0.464 | ||||
| Sharpe ratio (Glass type estimate) | 0.517 | ||||
| Sharpe ratio (Hedges UMVUE) | 0.517 | ||||
| df | 1124.000 | ||||
| t | 1.072 | ||||
| p | 0.484 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.429 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.463 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -0.429 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.463 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 1.037 | ||||
| Upside Potential Ratio | 5.058 | ||||
| Upside part of mean | 1.170 | ||||
| Downside part of mean | -0.930 | ||||
| Upside SD | 0.402 | ||||
| Downside SD | 0.231 | ||||
| N nonnegative terms | 194.000 | ||||
| N negative terms | 931.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 1125.000 | ||||
| Mean of predictor | 0.362 | ||||
| Mean of criterion | 0.240 | ||||
| SD of predictor | 0.268 | ||||
| SD of criterion | 0.464 | ||||
| Covariance | 0.008 | ||||
| r | 0.065 | ||||
| b (slope, estimate of beta) | 0.113 | ||||
| a (intercept, estimate of alpha) | 0.199 | ||||
| Mean Square Error | 0.214 | ||||
| DF error | 1123.000 | ||||
| t(b) | 2.196 | ||||
| p(b) | 0.458 | ||||
| t(a) | 0.887 | ||||
| p(a) | 0.483 | ||||
| Lowerbound of 95% confidence interval for beta | 0.012 | ||||
| Upperbound of 95% confidence interval for beta | 0.214 | ||||
| Lowerbound of 95% confidence interval for alpha | -0.241 | ||||
| Upperbound of 95% confidence interval for alpha | 0.639 | ||||
| Treynor index (mean / b) | 2.119 | ||||
| Jensen alpha (a) | 0.199 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.045 | ||||
| Expected Shortfall on VaR | 0.056 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.011 | ||||
| Expected Shortfall on VaR | 0.023 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 1125.000 | ||||
| Minimum | 0.751 | ||||
| Quartile 1 | 1.000 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.000 | ||||
| Maximum | 1.889 | ||||
| Mean of quarter 1 | 0.987 | ||||
| Mean of quarter 2 | 1.000 | ||||
| Mean of quarter 3 | 1.000 | ||||
| Mean of quarter 4 | 1.019 | ||||
| Inter Quartile Range | 0.000 | ||||
| Number outliers low | 219.000 | ||||
| Percentage of outliers low | 0.195 | ||||
| Mean of outliers low | 0.983 | ||||
| Number of outliers high | 196.000 | ||||
| Percentage of outliers high | 0.174 | ||||
| Mean of outliers high | 1.028 | ||||
| Risk estimates for a one-period unit investment (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | -0.008 | ||||
| VaR(95%) (moments method) | 0.004 | ||||
| Expected Shortfall (moments method) | 0.006 | ||||
| Extreme Value Index (regression method) | 0.361 | ||||
| VaR(95%) (regression method) | 0.011 | ||||
| Expected Shortfall (regression method) | 0.025 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 19.000 | ||||
| Minimum | 0.004 | ||||
| Quartile 1 | 0.016 | ||||
| Median | 0.040 | ||||
| Quartile 3 | 0.136 | ||||
| Maximum | 0.488 | ||||
| Mean of quarter 1 | 0.010 | ||||
| Mean of quarter 2 | 0.025 | ||||
| Mean of quarter 3 | 0.088 | ||||
| Mean of quarter 4 | 0.302 | ||||
| Inter Quartile Range | 0.120 | ||||
| Number outliers low | 0.000 | ||||
| Percentage of outliers low | 0.000 | ||||
| Mean of outliers low | NA | ||||
| Number of outliers high | 2.000 | ||||
| Percentage of outliers high | 0.105 | ||||
| Mean of outliers high | 0.422 | ||||
| Risk estimates based on draw downs (based on Extreme Value Theory) | |||||
| Extreme Value Index (moments method) | -1.988 | ||||
| VaR(95%) (moments method) | 0.316 | ||||
| Expected Shortfall (moments method) | 0.323 | ||||
| Extreme Value Index (regression method) | -0.533 | ||||
| VaR(95%) (regression method) | 0.447 | ||||
| Expected Shortfall (regression method) | 0.522 | ||||
| COMBINED STATISTICS | |||||
| Annualized return (arithmetic extrapolation) | 0.555 | ||||
| Compounded annual return (geometric extrapolation) | 0.328 | ||||
| Calmar ratio (compounded annual return / max draw down) | 0.672 | ||||
| Compounded annual return / average of 25% largest draw downs | 1.087 | ||||
| Compounded annual return / Expected Shortfall lognormal | 5.816 | ||||
| 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 | -16.186 | ||||
| Upside Potential Ratio | 0.000 | ||||
| Upside part of mean | 0.000 | ||||
| Downside part of mean | -0.044 | ||||
| Upside SD | 0.000 | ||||
| Downside SD | 0.003 | ||||
| N nonnegative terms | 0.000 | ||||
| N negative terms | 131.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 131.000 | ||||
| Mean of predictor | 1.134 | ||||
| Mean of criterion | -0.044 | ||||
| SD of predictor | 0.450 | ||||
| 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) | -12492933348697024.000 | ||||
| Sharpe ratio (Hedges UMVUE) | -12420719861132300.000 | ||||
| df | 130.000 | ||||
| t | -8833837887775228.000 | ||||
| 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) | -13930479873814932.000 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -10910959848449668.000 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -16.186 | ||||
| Upside Potential Ratio | 0.000 | ||||
| Upside part of mean | 0.000 | ||||
| Downside part of mean | -0.044 | ||||
| Upside SD | 0.000 | ||||
| Downside SD | 0.003 | ||||
| N nonnegative terms | 0.000 | ||||
| N negative terms | 131.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 131.000 | ||||
| Mean of predictor | 1.031 | ||||
| Mean of criterion | -0.044 | ||||
| SD of predictor | 0.453 | ||||
| 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 | 129.000 | ||||
| t(b) | -0.000 | ||||
| p(b) | 0.500 | ||||
| t(a) | -8713391591874616.000 | ||||
| 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) | 185939421585813513513516977356800.000 | ||||
| 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 | 131.000 | ||||
| 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 | ||||