unconditional correlation matrix. In this paper, we show how performance can be increased further by using open/high/low/close (OHLC … 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 …

This study examines the link between stocks and decentralized finance (DeFi) in terms of returns and volatility. Major … conditional correlation (DCC)-GARCH model to assess the bivariate correlation structure between each DeFi and ETF pair. The … volatility spillover analysis proves a contagion effect occurred between different geographic markets, and even between markets …

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 …

into intraday covariance and correlation dynamics. We show that intraday (co-)variations (i) follow underlying periodicity …

into intraday covariance and correlation dynamics. We show that intraday (co-)variations (i) follow underlying periodicity …

Purpose - This article examines volatility spillovers, cross-market correlation, and comovements between selected … Methodology - We propose to estimate and model volatility using GARCH family models for selected European markets. We aim to … explore volatility movement, presence of leverage effect/ asymmetry in selected financial markets. Findings - The econometric …