purpose, we use the swap variance (SwV) approach to identify monthly jumps and estimated realized volatility in prices for …In this paper, we examine whether jumps matter in both equity market returns and integrated volatility. For this … jumps. In emerging markets, the markets with average volatility earn higher returns during jump periods; however, highly …

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 …

conditional volatility of two stock markets, during the 1995-2007 period, using the monthly data of BSE listed BSE 100 and NYSE … of two stages GARCH (1,1) model wherein in first stage conditional volatility of both stock markets is estimated, and … then it is used as exogenous variable to estimate further conditional volatility of both stock markets. The study also …

-of-the-week effects in returns and volatility using the Nigerian stock exchange (NSE-30). The Gaussian, Student-t, and the Generalized … are sensitive to error distribution. Our finding also shows that evidence of good or bad news in volatility does not only …

domestic volatility after good shocks but a bad hedge after crashes …

swap rates, and the slope of the variance swap curve. To measure risk premia, we estimate a dynamic term structure model … that decomposes variance swap rates into expected variances and term premia. Empirically, we document a strong global … hypothesis that financial intermediaries are marginal investors in the variance swap market. …

Aggregate implied volatility spread (IVS), defined as the cross-sectional average difference in the implied …

between studying financial data in terms of the concept of volatility and in rapport to analysing financial data in terms of …

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 …