Net volatility

Abstract: We provide a simple and intuitive measure of interdependence of asset returns and/or volatilities. In particular, we formulate and examine precise and separate measures of return spillovers and volatility spillovers. Our framework facilitates study of both non-crisis and crisis episodes, including trends and bursts in spillovers, and both turn out to be empirically important. In particular, in an analysis of sixteen global equity markets from the early 1990s to the present, we find striking evidence of divergent behavior in the dynamics of return spillovers vs. volatility spillovers: Return spillovers display a gently increasing trend but no bursts, whereas volatility spillovers display no trend but clear bursts.

Abstract: We examine the decoupling and contagion hypotheses by testing them on the safe haven status of Islamic indexes through investigating the total, directional and net volatility spillovers across nine regional Islamic stock indexes and their conventional counterparts, using the generalized vector autoregressive framework. We use daily data covering the period 1999 to 2014 which includes various financial crises such as those that took place in Asia, Russia, Argentina, Brazil and the United States. The results show that global financial crises strongly affect the cross-market volatility. Although the contagion hypothesis is evident for both Islamic and conventional indexes, the findings also suggest the presence of a decoupling of the Islamic indexes from their conventional counterparts during turbulent periods. The results provide several useful implications for policy makers and portfolio managers seeking to diversify their portfolios and to hedge market risk, confirming that the Islamic financial indexes are a safe haven for investors during financial crises. Furthermore, paper reports significant time-varying patterns in the volatility spillovers for all the Islamic and conventional stock indexes and points out the stress transmitters and receivers.

Abstract: This study introduces volatility impulse response functions (VIRF) for dynamic conditional correlation–generalized autoregressive conditional heteroskedasticity (DCC‐GARCH) models. In addition, the implications with respect to network analysis—using the connectedness approach of Diebold and Y ιlmaz (Journal of Econometrics, 2014, 182(1), 119–134)—is discussed. The main advantages of this framework are (i) that the time‐varying dynamics do not underlie a rolling‐window approach and (ii) that it allows us to test whether the propagation mechanism is time varying or not. An empirical analysis on the volatility transmission mechanism across foreign exchange rate returns is illustrated. The results indicate that the Swiss franc and the euro are net transmitters of shocks, whereas the British pound and the Japanese yen are net volatility receivers of shocks. Finally, the findings suggest a high degree of comovement across European currencies, which has important portfolio and risk management implications.