In this article we study jump spillover effects between a number of country equity indexes. In order to identify the latent historical jumps of each index, we use a Bayesian approach to estimate a jump-diffusion model on each index. We look at the simultaneous jump intensities of pairs 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...

In this paper we show that the long-run stock and bond volatility and the long-run stock-bond correlation depend on macroeconomic uncertainty. We use the mixed data sampling (MIDAS) econometric approach. The findings are in accordance with the flight-to-quality phenomenon when macroeconomic...

We study the implications of interfirm product market linkages for dependence among the daily stock returns of US publicly traded firms using a spatial econometric regression. The effects of rivals and major customers change with various characteristics related to the product market network. We...

Our aim is to give a comparative analysis of ability of different factor mimicking portfolios in representing the background factors. Our analysis contains a cross-sectional regression approach, a time-series regression approach and a portfolio approach for constructing factor mimicking...

We investigate long-run stock-bond correlation using a model that combines the dynamic conditional correlation model with the mixed-data sampling approach and allows long-run correlation to be affected by macro-finance factors (historical and forecasts). We use macro-finance factors related to...

We develop a model of stochastic volatility with jump to analyze how the local equity markets of the European countries are affected by the regional equity market (other European equity markets) and the US equity market. Our approach simultaneously investigates all the three aspects of the...

This paper develops a conditional asset pricing model with latent factors, based on the optimal orthogonal portfolio approach. We construct a factor portfolio that embodies all the latent factors important for pricing a given set of test assets. The out-of-sample performance of this portfolio is...