The sum of squared intraday returns provides an unbiased and almost error-free measure of ex-post volatility. In this … paper we develop a nonlinear Autoregressive Fractionally Integrated Moving Average (ARFIMA) model for realized volatility …, which accommodates level shifts, day-of-the-week effects, leverage effects and volatility level effects. Applying the model …

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 …

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 …

between markets and somewhat weaker temporal effects with regard to the US equity market - volatility spillovers decrease when … volatility spillovers during global financial crisis and tranquil periods. The resulting market interconnectedness is depicted by … markets are characterized by greater temporal proximity. Volatility spillovers also present a high degree of …

value robust volatility estimator with respect to the standard robust volatility estimator as proposed in the paper by … Muneer & Maheswaran (2018b). We show that the robust volatility ratio is unbiased both in the population as well as in finite … samples. We empirically test the robust volatility ratio on 9 global stock indices from America, Asia Pacific and EMEA markets …

financial markets favours the volatility and return spillover between them. The current study analyses the volatility spillover … proposed by Antonakakis and Gabauer (2017) is used to estimate the evolution in time of volatility spillover. The empirical … results obtained for the period January 2001 - September 2021 highlight the increase in volatility spillover between the …

improved ex-post volatility measurements but has also inspired research into their potential value as an informa-tion source … for longer horizon volatility forecasts. In this paper we explore the forecasting value of these high fre-quency series in … conjunction with a variety of volatility models for returns on the Standard & Poor's 100 stock index. We consider two so …

market uncertainty and volatility of the investment instruments. Thus, the prediction of the uncertainty and volatilities of … to identify the best fit model that can predict the volatility of return of Bitcoin, which is in high demand as an … the residuals of the average equation model selected have ARCH effect. Volatility of Bitcoin return series after detection …

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 paper examines time-varying stock price and volatility dynamics of constituent industry sector indices in the … of return during rises in aggregate stock market volatility. Finally, this paper identifies which industries exhibit the … highest degree of volatility persistence and how this impacts their respective beta estimates. It shows time-dependence in …