This paper examines time-varying stock price and volatility dynamics of constituent industry sector indices in the Shanghai Stock Exchange. It finds that market beta risk is priced in the time-series movements of stock prices and responds positively to rises in non-diversifiable risk. The asset...

This study examines the statistical properties required to model the dynamics of both the returns and volatility series of the daily stock market returns in six Gulf Cooperation Council countries, namely Bahrain, Oman, Kuwait, Qatar, Saudi Arabia, and the United Arab Emirates, under different...

A predictable pattern of stock market return is the violation of the efficient market hypothesis (EMH). It is well studied and evident in financial literature that stock markets around the world have predictable patterns, e.g. calendar effect, behavioural effect, and Religious festival effect....

The primary objective of the study is to examine the impact of political news (good and bad news) on the returns and volatility of Borsa Istanbul 100 Index (BIST-100). Sample data cover the period from January 2008 to December 2017. The main sample was divided into two subperiods to insulate the...

The paper tests the CAPM for the Brazilian stock market using dynamic betas. The sample involves 28 stocks included in the Ibovespa portfolio as of March 21, 2012 and that were traded during the period from Jan. 01, 1995 to March 20, 2012. Dynamic betas were estimated and conditional betas...

The study adds an empirical outlook on the predicting power of using data from the future to predict future returns. The crux of the traditional Capital Asset Pricing Model (CAPM) methodology is using historical data in the calculation of the beta coefficient. This study instead uses a battery...

This study discusses the trading behavior of foreign investors with respect to economic uncertainty in the South Korean stock market from a time-varying perspective. We employ a news-based measure of economic uncertainty along with the model of time-varying parameter vector autoregression with...

Volatility is essential to consider uncertainty surrounding investments in financial assets. For this reason, financial industry regulators, mutual fund managers, individual and institutional investors, and policymakers are concerned about volatility. Against this background, this paper...

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...

This paper studies the well known day of the week effect in stock returns. Specifically, fifty five stock market indices from fifty one countries are examined with asymmetric GARCH models. The results are mixed, as the Monday effect is reported in nine indices, while in other ten indices Friday...