“…In our case, we opt for using the Asymmetric Dynamic Conditional Correlation GARCH model proposed by Cappiello, Engle, and Sheppard (2006). The choice of this model is based on the results of Donleavy (2009), Kalotychou, Staikouras, andZhao (2014), Zhou and Nicholson (2015), Yuan et al (2016), and Badshah (2018) who show that modelling covariance asymmetry on the basis of the ADCC model contributes significantly to the economic value of the model due to the fact that conditional volatility, and the correlation of financial returns, tends to rise more after negative return shocks than after positive ones of the same size. The VAR Asymmetric Dynamic Conditional Correlation GARCH (VAR-ADCC-GARCH) model estimation is performed using a two-step approach following Engle (2002).…”