This paper investigates the turn-of-the-month effects presence on stock markets from 32 countries during two periods of time: a relative quiet one from January 2000 to December 2006 and a turbulent one from January 2000 to October 2013. We found some significant changes that occurred from the...

This paper investigates the presence of Gone Fishin’ Effects on the Romanian Capital Market from January 2000 to July 2013. In this analysis we employ daily values of five main indexes of Bucharest Stock Exchange. We use GARCH models to reveal this seasonality not only on indexes returns but...

This paper investigates the presence of Gone Fishin’ Effects on the Romanian Capital Market from January 2000 to July 2013. In this analysis we employ daily values of five main indexes of Bucharest Stock Exchange. We use GARCH models to reveal this seasonality not only on indexes returns but...

One of the prominent types of calendar anomalies includes holiday effects, where stocks show abnormally higher mean returns on the days prior to holidays in comparison to other trading days. The current study investigates the existence of holiday effects in the stock exchanges of the Gulf...

The Halloween effect predicts that stock markets in the winter months (November through April) generate significantly higher returns than in the summer months (May through October). This paper examines the time-varying behavior of the Halloween effect within a new historical dataset that covers...

The Covid-19 pandemic profoundly disrupted global economies and financial systems, alte-ring investor behavior and challenging traditional market dynamics. Among these disruptions, calendar anomalies, which challenge the efficient market hypothesis, offer a unique lens to assess market...

This study examines the day-of-the-week and January effects on the top performing cryptocurrencies with the highest capitalization during the sample period. The study uses the daily closing returns of selected currencies for 7 August 2015 to 20 August 2020. The day-of-the-week results indicate...