the dynamics of volatility spillover are observed for a span of 7 years – 2013 to 2020; wherein the total number of sample … & Binance coins are more adversely affected due to the bad news in the market, leading to rigorous fluctuations in volatility … model which we used to estimate and quantify the nature of volatility spillovers. Given the overall cryptocurrency bull …

This paper investigates the conditional correlations and volatility spillovers between crude oil returns and stock … empirical results from the VARMA-GARCH and VARMA-AGARCH models provide little evidence of volatility spillovers between the …

framework is a bivariate volatility model, where volatility spillovers of either positive or negative sign are allowed for. Our … countries. Regarding the volatility spillovers, such spillovers from bond returns to those of stocks are stronger than the other … results show that by considering time-varying return and volatility spillovers when calculating the risk-minimising portfolio …

The paper develops a novel realized matrix-exponential stochastic volatility model of multivariate returns and realized …. The volatility and co-volatility spillovers are examined via the news impact curves and the impulse response functions … from returns to volatility and co-volatility. …

persistence increases during periods of high volatility compared with low volatility. The estimation of a bivariate GARCH model … further shows the existence of time-varying volatility spillovers between these returns during the different stages of such a …

ability of these funds by estimating hedge ratios and optimal portfolio weights. Taking a short position in the volatility of …

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 …

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 …

updating the concept of ‘volatility surprise' to capture cross-market relationships. Current methods for measuring spillovers … do not focus on volatility interactions, and neglect cross-effects between the conditional variances. This paper aims to … commodities from 1983 to 2013. The results provide strong evidence of spillover effects coming from the ‘volatility surprise …