Financial asset returns are known to be conditionally heteroskedastic and generally non-normally distributed, fat-tailed and often skewed. These features must be taken into account to produce accurate forecasts of Value-at-Risk (VaR). We provide a comprehensive look at the problem by considering...

Financial asset returns are known to be conditionally heteroskedastic and generally non-normally distributed, fat-tailed and often skewed. In order to account for both the skewness and the excess kurtosis in returns, we combine the BEKK model from the multivariate GARCH literature with different...

We develop a DSGE model incorporating a banking sector comprising 4 banks connected in a stylised network representing their interbank exposures. The micro-founded framework allows inter alia for endogenous bank defaults and bank capital requirements. In addition, we introduce a central bank who...

We develop a DSGE model incorporating a banking sector comprising 4 banks connected in a stylised network representing their interbank exposures. The micro-founded framework allows inter alia for endogenous bank defaults and bank capital requirements. In addition, we introduce a central bank who...

We introduce a class of multiplicative dynamic models for realized covariance matrices assumed to be conditionally Wishart distributed. The multiplicative structure enables consistent three-step estimation of the parameters, starting by covariance targeting of a scale matrix. The dynamics of...