The Halloween effect refers to a calendar anomaly that can be easily exploited and calls for buying the market index in the end of October each year and switching to treasury bills at the end of April the following year. The effect has only been studied on a 'calendar-month' basis and primarily...

This study examines seasonality in the Vietnam Stock Market Index over 10 years, since the market’s establishment on July 28th, 2000 until December 31st, 2010. The study found significant positive returns in April and significant negative returns in July for the VN-Index. Also, the...

This paper studies recurring annual events potentially introducing seasonality into gold prices. We analyze gold returns for each month from 1980 to 2010 and find that September and November are the only months with positive and statistically significant gold price changes. This “autumn...

The Halloween Effect is one of the main calendar anomalies used to challenge the Efficient Market Hypothesis. It consists in significant differences between the stock returns from two distinct periods of a year: November - April and October - May. In the last decades empirical researches...

Maberly and Pierce (2004) re-examine the work of Bouman and Jacobsen (2002) that documents significantly lower monthly stock market returns over the period May to October than over the period November to April. The finding has been called the Halloween effect and is present to varying degrees in...

Purpose – The purpose of this paper is to test prominent calendar anomalies for Indian securities markets those are commonly reported for advanced markets. Design/methodology/approach – The study considers closing values of 11 different indices of National Stock Exchange India, for the...

This paper examines the relationship between real estate prices during the home price boom from the late 1990s into 2005 and competition among mortgage lenders. The mortgage lending business, especially with the rise of the originate-to-distribute model, had competitors with very different...