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 …

study trading quantitatives such as returns, traded volumes, volatility periodicity, and provide summary statistics of …

Russia. The adopted framework allows to analyse interdependence by estimating volatility spillovers, and also contagion by … testing for possible shifts in the transmission of volatility following the introduction of the euro and EU accession. Further …. Furthermore, whilst the introduction of the euro has had mixed effects, EU accession has resulted in an increase in volatility …

The present study addresses the economic interpretation of stock market volatility. We argue that its character is … volatility. This exploits the revealed reaction of investors to gauge the degree of information and uncertainty ascribed to … volatility. We estimate simultaneous timevarying coefficient models, using data of US and further stock markets. We find the …

EGARCH model. Empirical results indicate significant return and volatility spillover effects during the full sample and the …-movements, and strong volatility persistence. During the Russian Great Recession subsample, the ownreturn effects of the markets are … partially integrated and the volatility transmission linkages across them are not that strong in crises periods, thus confirming …

Examinations of the dynamics of daily returns and volatility in stock markets of the US, Hong Kong and mainland China …

between FIIs inflows and volatility in indices of NSE by adopting Granger Causality test in a bivariate VAR framework. The … National Stock Exchange, one of the fastest emerging stock markets with high volatility. The analysis covered daily data series …