The study examines returns spillover, shock, and volatility transmission between Nigeria and selected global stock … benefit from diversification into Nigeria and Japan markets. Except for China and Hong Kong, volatility is relatively more …

intraday volatility dynamics in the Indian market. Modeling intraday volatility dynamics using FFF regressions, we examine the … volatility dynamics. We find that Indian stock market exhibits 'reverse J' shaped intraday volatility with much higher intraday … to small cap stocks. Higher volatility is also observed in the first one-hour of trade after weekends, in the first half …

Through this research, we find that the asymmetric volatility phenomenon is reversed in the Shanghai Stock Exchange … during bull markets. That is, volatility increases more with good news than with bad news. This evidence is inconsistent with … the US markets. Further examination of this phenomenon reveals that the positive impact of good news on volatility is …

time-varying parameter vector autoregression with stochastic volatility. The empirical analysis reveals several new …

This paper investigates the asymmetric volatility behavior of Nepalese stock market including the spillover effects … from the US and Indian equity markets. We model asymmetric volatility within generalized autoregressive conditional … compared to the results in other international equity markets: positive shocks increase volatility by more than negative shocks …

We explore the impact of delisting on the performance of the momentum trading strategy in Australia. We employ a new … large stocks are less exposed to liquidity risks, the momentum effect in Australia is even more puzzling than in the U.S …

the behaviour of returns and their volatility during both the calm as well as various crises/turmoil periods. Besides the …-GJR-GARCH) were estimated in order to examine the volatility switches of the Central European transition stock markets. The t …-distribution of error terms was used to capture the dynamics of analysed returns more precisely. The results proved high volatility …

volatility of Borsa Istanbul 100 Index (BIST-100). Sample data cover the period from January 2008 to December 2017. The main … nonlinear volatility models (symmetric and asymmetric Generalized AutoRegressive Conditional Heteroskedasticity [GARCH …]-type models) were used to model and estimate BIST-100 volatility in response to political news. The findings of the paper …

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 …