Advanced Statistics: PTQQS 2.0.B
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 | -0.050 | ||||
| SD | 0.512 | ||||
| Sharpe ratio (Glass type estimate) | -0.098 | ||||
| Sharpe ratio (Hedges UMVUE) | -0.093 | ||||
| df | 16.000 | ||||
| t | -0.116 | ||||
| p | 0.515 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.743 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.551 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -1.740 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.554 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -0.118 | ||||
| Upside Potential Ratio | 0.931 | ||||
| Upside part of mean | 0.393 | ||||
| Downside part of mean | -0.443 | ||||
| Upside SD | 0.262 | ||||
| Downside SD | 0.422 | ||||
| N nonnegative terms | 4.000 | ||||
| N negative terms | 13.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 17.000 | ||||
| Mean of predictor | 0.096 | ||||
| Mean of criterion | -0.050 | ||||
| SD of predictor | 0.197 | ||||
| SD of criterion | 0.512 | ||||
| Covariance | 0.005 | ||||
| r | 0.049 | ||||
| b (slope, estimate of beta) | 0.127 | ||||
| a (intercept, estimate of alpha) | -0.062 | ||||
| Mean Square Error | 0.279 | ||||
| DF error | 15.000 | ||||
| t(b) | 0.189 | ||||
| p(b) | 0.469 | ||||
| t(a) | -0.138 | ||||
| p(a) | 0.523 | ||||
| Lowerbound of 95% confidence interval for beta | -1.302 | ||||
| Upperbound of 95% confidence interval for beta | 1.556 | ||||
| Lowerbound of 95% confidence interval for alpha | -1.017 | ||||
| Upperbound of 95% confidence interval for alpha | 0.893 | ||||
| Treynor index (mean / b) | -0.393 | ||||
| Jensen alpha (a) | -0.062 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.213 | ||||
| SD | 0.637 | ||||
| Sharpe ratio (Glass type estimate) | -0.335 | ||||
| Sharpe ratio (Hedges UMVUE) | -0.319 | ||||
| df | 16.000 | ||||
| t | -0.399 | ||||
| p | 0.550 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.981 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.321 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -1.969 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.331 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -0.372 | ||||
| Upside Potential Ratio | 0.630 | ||||
| Upside part of mean | 0.362 | ||||
| Downside part of mean | -0.575 | ||||
| Upside SD | 0.238 | ||||
| Downside SD | 0.574 | ||||
| N nonnegative terms | 4.000 | ||||
| N negative terms | 13.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 17.000 | ||||
| Mean of predictor | 0.076 | ||||
| Mean of criterion | -0.213 | ||||
| SD of predictor | 0.205 | ||||
| SD of criterion | 0.637 | ||||
| Covariance | 0.001 | ||||
| r | 0.009 | ||||
| b (slope, estimate of beta) | 0.027 | ||||
| a (intercept, estimate of alpha) | -0.215 | ||||
| Mean Square Error | 0.433 | ||||
| DF error | 15.000 | ||||
| t(b) | 0.033 | ||||
| p(b) | 0.495 | ||||
| t(a) | -0.387 | ||||
| p(a) | 0.563 | ||||
| Lowerbound of 95% confidence interval for beta | -1.682 | ||||
| Upperbound of 95% confidence interval for beta | 1.735 | ||||
| Lowerbound of 95% confidence interval for alpha | -1.401 | ||||
| Upperbound of 95% confidence interval for alpha | 0.970 | ||||
| Treynor index (mean / b) | -8.036 | ||||
| Jensen alpha (a) | -0.215 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.274 | ||||
| Expected Shortfall on VaR | 0.326 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.109 | ||||
| Expected Shortfall on VaR | 0.235 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 17.000 | ||||
| Minimum | 0.511 | ||||
| Quartile 1 | 1.000 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.003 | ||||
| Maximum | 1.241 | ||||
| Mean of quarter 1 | 0.883 | ||||
| Mean of quarter 2 | 1.000 | ||||
| Mean of quarter 3 | 1.001 | ||||
| Mean of quarter 4 | 1.143 | ||||
| Inter Quartile Range | 0.003 | ||||
| Number outliers low | 2.000 | ||||
| Percentage of outliers low | 0.118 | ||||
| Mean of outliers low | 0.708 | ||||
| Number of outliers high | 4.000 | ||||
| Percentage of outliers high | 0.235 | ||||
| Mean of outliers high | 1.143 | ||||
| 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) | 1.051 | ||||
| VaR(95%) (regression method) | 0.300 | ||||
| Expected Shortfall (regression method) | NA | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 1.000 | ||||
| Minimum | 0.537 | ||||
| Quartile 1 | 0.537 | ||||
| Median | 0.537 | ||||
| Quartile 3 | 0.537 | ||||
| Maximum | 0.537 | ||||
| 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) | -0.151 | ||||
| Compounded annual return (geometric extrapolation) | -0.156 | ||||
| Calmar ratio (compounded annual return / max draw down) | -0.290 | ||||
| Compounded annual return / average of 25% largest draw downs | NA | ||||
| Compounded annual return / Expected Shortfall lognormal | -0.478 | ||||
| ANALYSIS BASED ON DAILY VALUES, FULL HISTORY (Back) | |||||
| RATIO STATISTICS | |||||
| Ratio statistics of excess return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | 0.036 | ||||
| SD | 0.701 | ||||
| Sharpe ratio (Glass type estimate) | 0.051 | ||||
| Sharpe ratio (Hedges UMVUE) | 0.051 | ||||
| df | 491.000 | ||||
| t | 0.061 | ||||
| p | 0.476 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.588 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.690 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -1.588 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.690 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | 0.073 | ||||
| Upside Potential Ratio | 4.109 | ||||
| Upside part of mean | 2.018 | ||||
| Downside part of mean | -1.982 | ||||
| Upside SD | 0.499 | ||||
| Downside SD | 0.491 | ||||
| N nonnegative terms | 42.000 | ||||
| N negative terms | 450.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 492.000 | ||||
| Mean of predictor | 0.147 | ||||
| Mean of criterion | 0.036 | ||||
| SD of predictor | 0.220 | ||||
| SD of criterion | 0.701 | ||||
| Covariance | -0.012 | ||||
| r | -0.079 | ||||
| b (slope, estimate of beta) | -0.250 | ||||
| a (intercept, estimate of alpha) | 0.073 | ||||
| Mean Square Error | 0.489 | ||||
| DF error | 490.000 | ||||
| t(b) | -1.747 | ||||
| p(b) | 0.959 | ||||
| t(a) | 0.125 | ||||
| p(a) | 0.450 | ||||
| Lowerbound of 95% confidence interval for beta | -0.532 | ||||
| Upperbound of 95% confidence interval for beta | 0.031 | ||||
| Lowerbound of 95% confidence interval for alpha | -1.077 | ||||
| Upperbound of 95% confidence interval for alpha | 1.222 | ||||
| Treynor index (mean / b) | -0.144 | ||||
| Jensen alpha (a) | 0.073 | ||||
| Ratio statistics of excess log return rates | |||||
| Statistics related to Sharpe ratio | |||||
| Mean | -0.212 | ||||
| SD | 0.708 | ||||
| Sharpe ratio (Glass type estimate) | -0.299 | ||||
| Sharpe ratio (Hedges UMVUE) | -0.299 | ||||
| df | 491.000 | ||||
| t | -0.358 | ||||
| p | 0.640 | ||||
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.938 | ||||
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.340 | ||||
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation) | -1.938 | ||||
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation) | 1.340 | ||||
| Statistics related to Sortino ratio | |||||
| Sortino ratio | -0.396 | ||||
| Upside Potential Ratio | 3.562 | ||||
| Upside part of mean | 1.905 | ||||
| Downside part of mean | -2.116 | ||||
| Upside SD | 0.464 | ||||
| Downside SD | 0.535 | ||||
| N nonnegative terms | 42.000 | ||||
| N negative terms | 450.000 | ||||
| Statistics related to linear regression on benchmark | |||||
| N of observations | 492.000 | ||||
| Mean of predictor | 0.123 | ||||
| Mean of criterion | -0.212 | ||||
| SD of predictor | 0.221 | ||||
| SD of criterion | 0.708 | ||||
| Covariance | -0.013 | ||||
| r | -0.080 | ||||
| b (slope, estimate of beta) | -0.257 | ||||
| a (intercept, estimate of alpha) | -0.180 | ||||
| Mean Square Error | 0.500 | ||||
| DF error | 490.000 | ||||
| t(b) | -1.777 | ||||
| p(b) | 0.962 | ||||
| t(a) | -0.305 | ||||
| p(a) | 0.620 | ||||
| Lowerbound of 95% confidence interval for beta | -0.541 | ||||
| Upperbound of 95% confidence interval for beta | 0.027 | ||||
| Lowerbound of 95% confidence interval for alpha | -1.342 | ||||
| Upperbound of 95% confidence interval for alpha | 0.982 | ||||
| Treynor index (mean / b) | 0.824 | ||||
| Jensen alpha (a) | -0.180 | ||||
| Risk estimates for a one-period unit investment (parametric) | |||||
| assuming log normal returns and losses (using central moments from Sharpe statistics) | |||||
| VaR(95%) | 0.061 | ||||
| Expected Shortfall on VaR | 0.076 | ||||
| assuming Pareto losses only (using partial moments from Sortino statistics) | |||||
| VaR(95%) | 0.019 | ||||
| Expected Shortfall on VaR | 0.042 | ||||
| ORDER STATISTICS | |||||
| Quartiles of return rates | |||||
| Number of observations | 492.000 | ||||
| Minimum | 0.781 | ||||
| Quartile 1 | 1.000 | ||||
| Median | 1.000 | ||||
| Quartile 3 | 1.000 | ||||
| Maximum | 1.262 | ||||
| Mean of quarter 1 | 0.977 | ||||
| Mean of quarter 2 | 1.000 | ||||
| Mean of quarter 3 | 1.000 | ||||
| Mean of quarter 4 | 1.024 | ||||
| Inter Quartile Range | 0.000 | ||||
| Number outliers low | 38.000 | ||||
| Percentage of outliers low | 0.077 | ||||
| Mean of outliers low | 0.927 | ||||
| Number of outliers high | 42.000 | ||||
| Percentage of outliers high | 0.085 | ||||
| Mean of outliers high | 1.069 | ||||
| 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) | -0.123 | ||||
| VaR(95%) (regression method) | 0.021 | ||||
| Expected Shortfall (regression method) | 0.061 | ||||
| DRAW DOWN STATISTICS | |||||
| Quartiles of draw downs | |||||
| Number of observations | 7.000 | ||||
| Minimum | 0.013 | ||||
| Quartile 1 | 0.024 | ||||
| Median | 0.043 | ||||
| Quartile 3 | 0.071 | ||||
| Maximum | 0.623 | ||||
| Mean of quarter 1 | 0.014 | ||||
| Mean of quarter 2 | 0.038 | ||||
| Mean of quarter 3 | 0.045 | ||||
| Mean of quarter 4 | 0.360 | ||||
| Inter Quartile Range | 0.047 | ||||
| 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 | 0.143 | ||||
| Mean of outliers high | 0.623 | ||||
| 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) | -0.149 | ||||
| Compounded annual return (geometric extrapolation) | -0.155 | ||||
| Calmar ratio (compounded annual return / max draw down) | -0.248 | ||||
| Compounded annual return / average of 25% largest draw downs | -0.429 | ||||
| Compounded annual return / Expected Shortfall lognormal | -2.027 | ||||
| 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 | 0.335 | ||||
| Mean of criterion | -0.044 | ||||
| SD of predictor | 0.195 | ||||
| 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 | 0.316 | ||||
| Mean of criterion | -0.044 | ||||
| SD of predictor | 0.194 | ||||
| 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) | -5574056293179388.000 | ||||
| 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) | 23909124472646524271795602718720.000 | ||||
| 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 | ||||


