Cross (1973) was the first to point out the differences in return across weekdays. Since
then, the stock market efficiency is an extensively researched area of investment
management. Day-of-the-week effect is the most talked anomaly. However, due to the increased use
of Information Technology (IT) and the ongoing stock market reforms in various
countries, investors might expect stock markets to be free from such anomalies. Despite frequent
claims of market efficiency, literature on the subject offers evidence of seasonal/calendar
anomalies both in the developed and emerging stock markets. A review of the existing studies,
i.e., Rozeff and Kinney (1976), French (1980), Lakonishok and Smidt (1988), Cadsby
(1989), Cadsby and Ratner (1992), Agrawal and Tandon (1994), Steeley (2001), Hellstrom
(2002), Kok Kim (2002), Pandey (2002), Russel and Torbey (2002), Sales and Caro (2006), Sah
and Omkarnath (2007), Baek et al. (2008), and Ricky
et al. (2008), indicates that the stock
markets of the developed as well as developing countries are not yet free from the seasonal
anomalies, despite the increased use of IT and numerous regulatory developments.
Researchers have stated various causes in order to explain the days-of-the-week
anomaly, specially the Monday and the Friday effects, just like the timing of earnings
announcement, settlement effect, measurement error impact, and the liquidity effect or specialist effect
bias etc. Besides these, several researchers, including Osborne (1962), Ritter (1988),
and Lakonishok and Maberly (1990), suggest that the day-of-the-week effect may be driven
by the trading pattern of individual investors, as they are of the opinion that individual
investors face an asymmetry of brokers' recommendations in both form and time. Groth
et al. (1979), Miller (1988), and Lakonishok and Maberly (1990) report that during weekdays
brokers encourage individuals to buy. They find in their studies that analysts issue six
buy recommendations for every sell recommendation. So during the weekdays, investors
follow their recommendations of buying. However, during the weekends, when individuals
have time to gather and process the information and to reach an investment decision, they
make rational decision of buying and selling according to their perceptions, which make a
significant difference to the investment pattern of weekdays and weekends. |