| bread.cgarch.estimate | Bread Method |
| bread.dcc.estimate | Bread Method |
| cgarch_modelspec | Generic Methods for the Copula GARCH model specification |
| cgarch_modelspec.tsgarch.multi_estimate | Copula GARCH model specification |
| coef | Extract Model Coefficients |
| coef.cgarch.estimate | Extract Model Coefficients |
| coef.dcc.estimate | Extract Model Coefficients |
| coef.gogarch.estimate | Extract Model Coefficients |
| combn_fast | Fast combination of n elements, taken m at a time |
| dcc_modelspec | Generic Methods for the DCC GARCH model specification |
| dcc_modelspec.tsgarch.multi_estimate | DCC GARCH model specification |
| dfft | FFT density, distribution and quantile method |
| dfft.gogarch.fft | FFT density, distribution and quantile method |
| dfft.gogarch.fftsim | FFT density, distribution and quantile method |
| dji30retw | Dow Jones 30 Constituents Closing Value log Weekly Return |
| estfun.cgarch.estimate | Score Method |
| estfun.dcc.estimate | Score Method |
| estimate | Estimates a model given a specification. |
| estimate.cgarch.spec | Estimates a model given a specification. |
| estimate.dcc.spec | Estimates a model given a specification. |
| estimate.gogarch.spec | Estimates a model given a specification. |
| expected_shortfall | Expected Shortfall (ES) method for predicted and simulated objects |
| expected_shortfall.cgarch.predict | Expected Shortfall (ES) method for predicted and simulated objects |
| expected_shortfall.cgarch.simulate | Expected Shortfall (ES) method for predicted and simulated objects |
| expected_shortfall.dcc.predict | Expected Shortfall (ES) method for predicted and simulated objects |
| expected_shortfall.dcc.simulate | Expected Shortfall (ES) method for predicted and simulated objects |
| expected_shortfall.gogarch.predict | Expected Shortfall (ES) method for predicted and simulated objects |
| expected_shortfall.gogarch.simulate | Expected Shortfall (ES) method for predicted and simulated objects |
| fitted | Extract Model Fitted Values |
| fitted.cgarch.estimate | Extract Model Fitted Values |
| fitted.cgarch.predict | Extract Model Fitted Values |
| fitted.cgarch.simulate | Extract Model Fitted Values |
| fitted.dcc.estimate | Extract Model Fitted Values |
| fitted.dcc.predict | Extract Model Fitted Values |
| fitted.dcc.simulate | Extract Model Fitted Values |
| fitted.gogarch.estimate | Extract Model Fitted Values |
| fitted.gogarch.predict | Extract Model Fitted Values |
| fitted.gogarch.simulate | Extract Model Fitted Values |
| globalindices | Global Financial Indices Closing Value log Weekly Return |
| gogarch_modelspec | GOGARCH Model specification |
| logLik | Extract Log-Likelihood |
| logLik.cgarch.estimate | Extract Log-Likelihood |
| logLik.dcc.estimate | Extract Log-Likelihood |
| logLik.gogarch.estimate | Extract Log-Likelihood |
| newsimpact.cgarch.estimate | News Impact Surface |
| newsimpact.dcc.estimate | News Impact Surface |
| newsimpact.gogarch.estimate | News Impact Surface |
| pfft | FFT density, distribution and quantile method |
| pfft.gogarch.fft | FFT density, distribution and quantile method |
| pfft.gogarch.fftsim | FFT density, distribution and quantile method |
| pit.gogarch.fft | Probability Integral Transform (PIT) for weighted FFT densities |
| plot.cgarch.estimate | Dynamic Correlation Model Plots |
| plot.dcc.estimate | Dynamic Correlation Model Plots |
| plot.tsmarch.newsimpact | News Impact Surface Plot |
| predict | Model Prediction |
| predict.cgarch.estimate | Model Prediction |
| predict.dcc.estimate | Model Prediction |
| predict.gogarch.estimate | Model Prediction |
| print.summary.cgarch.estimate | Model Estimation Summary Print method |
| print.summary.dcc.estimate | Model Estimation Summary Print method |
| print.summary.gogarch.estimate | Model Estimation Summary Print method |
| print.summary.tsmarch.estimate | Model Estimation Summary Print method |
| qfft | FFT density, distribution and quantile method |
| qfft.gogarch.fft | FFT density, distribution and quantile method |
| qfft.gogarch.fftsim | FFT density, distribution and quantile method |
| radical | The Robust Accurate, Direct ICA ALgorithm (RADICAL) |
| residuals | Extract Model Residuals |
| residuals.cgarch.estimate | Extract Model Residuals |
| residuals.dcc.estimate | Extract Model Residuals |
| residuals.gogarch.estimate | Extract Model Residuals |
| simulate | Model Simulation |
| simulate.cgarch.estimate | Model Simulation |
| simulate.dcc.estimate | Model Simulation |
| simulate.gogarch.estimate | Model Simulation |
| summary | Model Estimation Summary |
| summary.cgarch.estimate | Model Estimation Summary |
| summary.dcc.estimate | Model Estimation Summary |
| summary.gogarch.estimate | Model Estimation Summary |
| tsaggregate | Weighted Moments Aggregation |
| tsaggregate.cgarch.estimate | Weighted Moments Aggregation |
| tsaggregate.cgarch.predict | Weighted Moments Aggregation |
| tsaggregate.cgarch.simulate | Weighted Moments Aggregation |
| tsaggregate.dcc.estimate | Weighted Moments Aggregation |
| tsaggregate.dcc.predict | Weighted Moments Aggregation |
| tsaggregate.dcc.simulate | Weighted Moments Aggregation |
| tsaggregate.gogarch.estimate | Weighted Moments Aggregation |
| tsaggregate.gogarch.predict | Weighted Moments Aggregation |
| tsaggregate.gogarch.simulate | Weighted Moments Aggregation |
| tscokurt | Cokurtosis Extractor |
| tscokurt.gogarch.estimate | Cokurtosis Extractor |
| tscokurt.gogarch.predict | Cokurtosis Extractor |
| tscokurt.gogarch.simulate | Cokurtosis Extractor |
| tsconvolve | Convolution |
| tsconvolve.gogarch.estimate | Convolution |
| tsconvolve.gogarch.predict | Convolution |
| tsconvolve.gogarch.simulate | Convolution |
| tscor | Correlation Extractor |
| tscor.cgarch.estimate | Correlation Extractor |
| tscor.cgarch.predict | Correlation Extractor |
| tscor.cgarch.simulate | Correlation Extractor |
| tscor.dcc.estimate | Correlation Extractor |
| tscor.dcc.predict | Correlation Extractor |
| tscor.dcc.simulate | Correlation Extractor |
| tscor.gogarch.estimate | Correlation Extractor |
| tscor.gogarch.predict | Correlation Extractor |
| tscor.gogarch.simulate | Correlation Extractor |
| tscoskew | Coskewness Extractor |
| tscoskew.gogarch.estimate | Coskewness Extractor |
| tscoskew.gogarch.predict | Coskewness Extractor |
| tscoskew.gogarch.simulate | Coskewness Extractor |
| tscov | Covariance Extractor |
| tscov.cgarch.estimate | Covariance Extractor |
| tscov.cgarch.predict | Covariance Extractor |
| tscov.cgarch.simulate | Covariance Extractor |
| tscov.dcc.estimate | Covariance Extractor |
| tscov.dcc.predict | Covariance Extractor |
| tscov.dcc.simulate | Covariance Extractor |
| tscov.gogarch.estimate | Covariance Extractor |
| tscov.gogarch.predict | Covariance Extractor |
| tscov.gogarch.simulate | Covariance Extractor |
| tsfilter | Model Filtering |
| tsfilter.cgarch.estimate | Model Filtering |
| tsfilter.dcc.estimate | Model Filtering |
| tsfilter.gogarch.estimate | Model Filtering |
| value_at_risk | Value at Risk (VaR) method for predicted and simulated objects |
| value_at_risk.cgarch.predict | Value at Risk (VaR) method for predicted and simulated objects |
| value_at_risk.cgarch.simulate | Value at Risk (VaR) method for predicted and simulated objects |
| value_at_risk.dcc.predict | Value at Risk (VaR) method for predicted and simulated objects |
| value_at_risk.dcc.simulate | Value at Risk (VaR) method for predicted and simulated objects |
| value_at_risk.gogarch.predict | Value at Risk (VaR) method for predicted and simulated objects |
| value_at_risk.gogarch.simulate | Value at Risk (VaR) method for predicted and simulated objects |
| vcov | The Covariance Matrix of the Estimated Parameters |
| vcov.cgarch.estimate | The Covariance Matrix of the Estimated Parameters |
| vcov.dcc.estimate | The Covariance Matrix of the Estimated Parameters |