Abstract This paper investigates the nature of shocks across international equity markets and evaluates the shifts in their comovements at a business-cycle frequency. Using an “identification through heteroskedasticity” methodology, we compute the impact coefficients on the common and...

This paper investigates the time-varying conditional correlation between oil price and stock market volatility for six major oil-importing and oil-exporting countries. The period of the study runs from January 2000 until December 2014 and a Diag-BEKK model is employed. Our findings report the...

Using a novel three-phase model based upon a conditional autoregressive Wishart (CAW) framework for the realized (co)variances of the Dow Jones and the German stock index DAX, we analyze intra-daily volatility spillovers between the US and German stock markets. The proposed model explicitly...

The paper suggests a nonlinear and multivariate time series model framework that enables the study of simultaneity in returns and in volatilities, as well as asymmetric effects arising from shocks. Using daily data 2000-2006 for the Baltic state stock exchanges and that of Moscow we find...

This study has been inspired by the emergence of socially responsible investment practices in mainstream investment activity wherein it examines the transmission of return patterns between green bonds, carbon prices, and renewable energy stocks using daily data spanning from 1st January 2013 to...

This paper empirically analyzes in a time-varying context if the U.S. corporate Credit Default Swaps (CDS) and bond markets of 81 reference entities reflect the same information on their prices between October 2004 and December 2010, using OTC traded CDS. The analysis shows that frictions in the...

In this study we analyse the evolution of interdependence and relative influence of major international stock markets in the three main geographical regions of USA, Europe and Asia around the Global Financial Crisis (GFC) of 2007. Using the framework of the Foreign Information Transmission (FIT)...

The authors model trades-through, i.e. transactions that reach at least the second level of limit orders in an order book. Using tick-by-tick data on Euronext-traded stocks, they show that a simple bivariate Hawkes process fits nicely their empirical observations of tradesthrough. The authors...

An asymmetric multivariate generalization of the recently proposed class of normal mixture GARCH models is developed. Issues of parametrization and estimation are discussed. Conditions for covariance stationarity and the existence of the fourth moment are derived, and expressions for the dynamic...

We develop a multivariate generalization of the Markov-switching GARCH model introduced by Haas, Mittnik, and Paolella (2004b) and derive its fourth-moment structure. An application to international stock markets illustrates the relevance of accounting for volatility regimes from both a...