We use economic policy uncertainty (EPU) shocks in combination with the mixed data sampling (MIDAS) approach to investigate long-run stock market variances and correlations, primarily for the US and the UK. The US long-run stock market variance depends significantly on US EPU shocks but not on...

We analyze the cross-sectional relation between expected idiosyncratic volatility and stock returns. The expected idiosyncratic volatility is conditioned on macro-finance factors as well as traditional asset pricing factors. The macro-finance factors are constructed from a large set of...

We propose a bivariate component GARCH-MIDAS model to estimate the long- and short-run components of the variances and covariances. The advantage of our model to the existing DCC-based models is that it uses the same form for both the variances and covariances and that it estimates these moments...

We study the impact of economic policy uncertainty (EPU) shocks on the long-run stock market variances and correlations, primarily for the US and the UK. We find that US EPU shocks affect both US and UK stock market long-run variances and correlation, but UK EPU shocks only affect its own...

We investigate the risk-return trade-off on the US and European stock markets. We investigate the non-linear risk-return trade-off with a special eye to the tails of the stock returns using quantile regressions. We first consider the US stock market portfolio. We find that the risk-return...

I consider extreme returns for the stock and bond markets of 14 EU countries using two classification schemes: One, the univariate classification scheme from the previous literature that classifies extreme returns for each market separately. Two, a novel multivariate classification scheme that...