The financial markets stylized facts, volatility and its relationship with returns tested empirically in Tehran Stock …, 1) - EGARCH (1, 1) are used to determine the process of stock returns and volatility, and by applying ARCH(M) class … models and out-of-sample methodology the relationship between stock return and volatility is examined. The key findings are …

This paper examines the interrelation between short selling and volatility as differing from previous research in that … beginning of opening sessions, which significantly impacts the volatility of the market for the rest of the trading day …

Understanding the pattern of stock market volatility is important to investors as well as for investment policy …. Volatility is directly associated with risks and returns, higher the volatility the more financial market is unstable. The … volatility of the Zimbabwean stock market is modeled using monthly return series consisting of 109 observations from January 2010 …

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 …

growing importance of emerging markets, the literature on the nature of volatility in global markets is typified by … volatility in developed G7 and emerging BRICS markets. Broad market index data and GARCH models over the period 2003 …:01–2020:08 were employed. The study found evidence of volatility persistence, asymmetry, mean reversion and weak evidence of a risk …

This paper introduces a new class of long memory model for volatility of stock returns, and applies the model on …

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 …

average, exponentially something, AR, and GARCH class models including ARCH, GARCH, GJR- GARCH, and EGARCH. Volatility is … exchanges (TSE), where the market is highly regulated and therefore less subject to volatility. To evaluate the forecasting … with other volatility forecasting models in international exchanges. However, the simple smoothing model provides superior …

) using the TGARCH model. Findings provide strong evidence for the validity of the MDH for the Saudi market. Volatility …, interacting with volatility in a manner anticipated under the MDH. This can be attributed to the unique characteristic of the … that the leverage effect was amplified, indicating a more pronounced asymmetric effect of bad news on volatility …