Multivariate Conditional Volatility Modelling and Forecasting


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Documentation for package ‘BEKKs’ version 1.4.4

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backtest Backtesting via Value-at-Risk (VaR)
BEKKs BEKKs: Volatility modelling
bekk_fit Estimating multivariate BEKK-type volatility models
bekk_spec BEKK specification method
GoldStocksBonds Gold stock and Bond returns
logLik.bekkFit bekkFit method
portmanteau.test Performing a Portmanteau test checking for remaining correlation in the empirical co-variances of the estimated BEKK residuals.
predict Forecasting conditional volatilities with BEKK models
predict.bekk Forecasting conditional volatilities with BEKK models
predict.bekka Forecasting conditional volatilities with BEKK models
predict.dbekk Forecasting conditional volatilities with BEKK models
predict.dbekka Forecasting conditional volatilities with BEKK models
predict.sbekk Forecasting conditional volatilities with BEKK models
predict.sbekka Forecasting conditional volatilities with BEKK models
print.bekkFit bekkFit method
residuals.bekkFit bekkFit method
simulate Simulating BEKK models
simulate.bekk Simulating BEKK models
simulate.bekka Simulating BEKK models
simulate.dbekk Simulating BEKK models
simulate.dbekka Simulating BEKK models
simulate.sbekk Simulating BEKK models
simulate.sbekka Simulating BEKK models
StocksBonds Daily stock and Bond returns
VaR Calculating Value-at-Risk (VaR)
virf Estimating multivariate volatility impulse response functions (VIRF) for BEKK models
_PACKAGE BEKKs: Volatility modelling