Crude oil price volatility has been analyzed extensively for organized spot, forward and futures markets for well over … a decade, and is crucial for forecasting volatility and Value-at-Risk (VaR). There are four major benchmarks in the …-Pacific), which are likely to be highly correlated. This paper analyses the volatility spillover effects across and within the four …

This paper estimates univariate and multivariate conditional volatility and conditional correlation models of spot … volatilities across returns for each market. The estimates of volatility spillovers and asymmetric effects for negative and …

has been conducted to evaluate the role of international tourism, and its associated volatility, within and across various … economies. This paper applies several recently developed models of multivariate conditional volatility to investigate the … interdependence of international tourism demand, as measured by international tourist arrivals, and its associated volatility in the …

volatility of these commodities. The daily returns of Brent, gold and silver from 8 April 1999 to 7 April 2009 are employed to … model the volatility and volatility spillovers across markets. The univariate conditional volatility models suggest that … there is time-varying volatility in all assets. Moreover, asymmetry is observed in the Brent and gold markets. For …

We extend the class of GARCH models to comprise asymmetric and nonlinear effects on volatility. In particular, we do … not only explain future volatility of a time series on its own past, but allow for external influences and spillovers …

The study examines the return and volatility spillover among Asian stock markets in India, Hong Kong, Japan, China … bidirectional return, shock, and volatility spillover among most of the stock markets. The magnitude of volatility linkages is low … indicating weak integration of Asian stock markets. The study finds that own volatility spillover is higher than cross …

Volatility is a key measure of risk in financial analysis. The high volatility of one financial asset today could … affect the volatility of another asset tomorrow. These lagged effects among volatilities - which we call volatility … freedom. Moreover, we study volatility spillovers among a large number of assets. To this end, we use penalized estimation of …

This paper studies the nature of volatility spillovers across countries from the per-spective of network theory and by … relying on data of US-listed ETFs. I use a Lasso-related technique to estimate the International Volatility Network (IVN …) where the nodes correspond to large-cap international stock markets while the links account for significant volatility lead …

We introduce a conditional volatility model that combines persistent volatility dynamics with spillovers from a wide … volatility dynamics. We show that despite the many parameters resulting from this wide cross-section, this spillover … autoregressive (SPAR) realized variance model forecasts accurately and can be used in estimating large volatility spillover networks …