study we investigate the mean-volatility spillover effects that happen across international stock markets. The study, by … taking into consideration the stock market returns based on various indices, investigates the mean-volatility spillover … precise and separate measures of return spillovers and volatility spillovers. The analysis provides the evidence of strong …

This study predicts stock market volatility and applies them to the standard problem in finance, namely, asset … predictive performance relative to the standard volatility models. Furthermore, we construct volatility timing portfolios and …

, high volatility, and high sensitivity. Interestingly, the study documents that in the Indian market investor attention is …

evolve, many investors continue to forecast volatility using traditional approaches that are ill-suited to the time …-changing nature of volatility. In this paper, I analyze the performance of seven different multivariate-volatility models using a new … poorly when trying to forecast short-term volatility, and that a more dynamic model often provides superior out …

recent DCC-NL model of Engle et al. (2019) is able to overcome this curse via nonlinear shrinkage estimation of the … but also of dynamic correlations, is the concept of a regularized return, obtained from a volatility proxy in conjunction …

recent DCC-NL model of Engle et al. (2019) is able to overcome this curse via nonlinear shrinkage estimation of the … but also of dynamic correlations, is the concept of a regularized return, obtained from a volatility proxy in conjunction …

. (2019) is able to overcome this curse via nonlinear shrinkage estimation of the unconditional correlation matrix. In this … covariances, is the concept of a regularized return, obtained from a volatility proxy in conjunction with a smoothed sign …