This paper performs a two-stage methodology based on the Structural VAR and time-varying parameter regression models to examine the dynamic reaction of a set of oil-related countries' stock markets to oil price shocks. Oil prices are studied by disentangling demand and supply shocks. Based on...

In line with the Adaptive Market Hypothesis (AMH), the objective of this study is to investigate how the day-of-the-week (DOW) effect behaves under different bull and bear market conditions in African stock markets, and to examine the likelihood of being in a bull or bear regime for each market....

This paper examines the behavior of seasonal anomalies in Dhaka Stock Exchange (DSE) of Bangladesh and whether the time varying nature of the anomalies is in line with Adaptive Market Hypothesis (AMH). With this aim the research investigated whether the changes in market conditions, for example:...

The study of the stock market in a country and the understanding of the influence of stock market crashes within and across the markets has been the subject matter of many researches, academicians and analysts during recent times. In this study we investigate the mean-volatility spillover...

Much of financial engineering is based on so-called “complete markets” and on the use of the Black-Scholes formula. The formula relies on the assumption that asset prices follow a log-normal distribution, or in other words, the daily fluctuations in prices viewed as percentage changes follow...

Semi-monthly effect is a kind of calendar anomalies which is less explored in the financial literature. The main objective of this paper to investigate the presence of semimonthly effect in selected sectoral indices of Bombay Stock Exchange (BSE). The study uses the daily stock returns of five...

We find the well-documented U-shaped intraday patterns of stock liquidity, volume, and price volatility for the U.S. stock market have disappeared. Bid-ask spreads tend to decrease, not increase, toward the close of the trading day; trading volume disproportionally concentrates in the last five...

The autocorrelation in stock returns is one of the most important anomalies in financial markets worldwide. In this paper, we have investigated differences in return autocorrelation on a day-to-day basis in the Spanish and French stock markets. Our research provides strong evidence of the...

This study investigates whether institutional investors increase or decrease the volatility of stock returns in the Thai stock market. For the purpose we used the data from SETSMART, a database provided by the Stock Exchange of Thailand (SET). Our sample is a balanced panel data covering 3,160...

We employ a Boxplot method for detecting and analyzing outlying daily returns of 14 international stock market indices sampled from around the world. The main objective of the paper is to provide an extensive analysis of the main characteristics, features and effects of the detected outlier...