The current study examines the turn of the month effect on stock returns in 20 countries. This will allow us to explore whether the seasonal patterns usually found in global data; America, Australia, Europe and Asia. Ordinary Least Squares (OLS) is problematic as it leads to unreliable...

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...

This paper presents a programming routine in MATLAB software for applications in calendar effects or anomalies in stock returns. The calendar effects which are tested is the turn-of-the-month, the day-of-the-Week, the month-of-the-Year and the semi-month effect

This paper examines the calendar anomalies/effects in 55 Stock market exchange indices of 51 countries around the world. The calendar effects which are examined are the turn-of-the-Month effect, the day-of-the-Week effect, the Month-of the-Year effect and the semi-Month effect. The methodology...

This study examines the calendar effects in 55 Stock market exchange indices around the globe. The effects which are examined are the turn-of-the-Month effect, day-of-the-Week effect, Month-of the-Year effect and semi-Month effect. The methodology followed is the test hypothesis with bootstrap...

This paper examines the well know day of the week effect on stock returns. Various approaches have been developed and applied in order to examine calendar effects in stock returns and to formulate appropriate financial and risk portfolios. We propose an alternative approach in the estimation of...