This study addresses the unsettled question of whether REITs behave similarly to stocks with respect to calendar anomalies. We determine the magnitudes of several types of calendar anomalies for both the REIT and stock market index returns in 22 countries between 1990 and 2012. In general, our...

In this paper we estimate the size of weekend effects for seven emotions and then explore their main determinants for the working population in the United States, using the Gallup/Healthways US Daily Poll 2008-2012. We first find that weekend effects exist for all emotions, and that these...

This paper provides some new empirical evidence on the weekend effect, one of the most recognized anomalies in financial markets. Two different methods are used: (i) a trading robot approach to examine whether or not there is such an anomaly giving rise to exploitable profit opportunities by...

A strategy that selects stocks based on their historical same-calendar-month returns earns an average return of 13% per year. We document similar return seasonalities in anomalies, commodities, international stock market indices, and at the daily frequency. The seasonalities overwhelm...

The short ratio - shares shorted to shares outstanding - is an oft-used measure of arbitrageurs' opinion about a stock's over-valuation. We show that days-to-cover (DTC), which divides a stock's short ratio by its average daily share turnover, is a more theoretically well-motivated measure...

In this paper, we investigate the day of the week and the month of the year effects in African stock markets, both in the Gregorian and the Hijri calendars. Specifically, we investigate Monday effect, Friday effect, January effect and Ramadan effect, from January 2009 to December 2019, using OLS...

As literature shows, market anomalies in their various forms exist in different markets around the globe. Evidence of seasonality of returns in any form, whether based on time period such as over specific days, weeks and months, or over size, such as large, medium or small or over different...