uncertainty (EPU) index. The present work determines the association among policy uncertainty and volatility index, expressed in …. The results suggest that equity markets' volatility tends to be very high based on a high degree of policy uncertainty … that implied volatility index is a forward looking expectation of future stock market volatility, and it uncovers that …

. This study uses the Diebold and Yilmaz index model to analyze and measure volatility spillovers and interconnectedness … among APEC stock markets. The objective is to identify major transmitters of volatility spillovers and assess the magnitude … of different crisis cycles. The results show that the US is the major contributor (69.54%) to volatility spillovers in …

oil price change and stock market returns at different risk levels. In the model, ten copulas are provided to measure the … stock markets in ten important countries and Brent oil market, we estimate the downward and upward risk spillovers from oil … to stock markets. The empirical results suggest strong evidence of risk spillover effects from oil to stock markets …

-BEKK model introduced by Engle and Kroner (1995) is employed to analyze the volatility transmission structure. We identify the … is observed. Furthermore we detect unidirectional volatility transmission from the futures to the spot market at highest …

shares of futures speculators have destabilized commodity spot prices. We approximate conditional volatility and regress it …-periods, and document whether the speculative impact on conditional volatility has increased. However, with respect to six heavily …

We examine the information content of the CBOE Crude Oil Volatility Index (OVX) when forecasting realized volatility in … volatility. In out-of-sample forecasting we find that econometric models based on realized volatility can be improved by … including implied volatility and other variables. Our results show that including implied volatility significantly improves …

volatility of Borsa Istanbul 100 Index (BIST-100). Sample data cover the period from January 2008 to December 2017. The main … nonlinear volatility models (symmetric and asymmetric Generalized AutoRegressive Conditional Heteroskedasticity [GARCH …]-type models) were used to model and estimate BIST-100 volatility in response to political news. The findings of the paper …

This paper studies the intertemporal relation between U.S. volatility risk and international equity risk premia. We … show that a common volatility risk factor constructed from the option-implied U.S. forward variances positively and … robust to the inclusion of existing domestic and U.S. predictors and alternative U.S. volatility risk proxies. The …

This study investigates the simplicity and adequacy of tail-based risk measures-valueat-risk (VaR) and expected … shortfall (ES)-when applied to tail targeting of the extreme value (EV) model. We implement Lévy-VaR and ES risk measures as … 2007-2008, we fnd that the simplicity of tail-based risk management with a tail-targeting EV model is more attractive …

dispersion in beliefs influences both crude oil prices and price volatility. -- Crude oil market ; futures market ; speculation …