This study investigates the existence of the day-of-the-week effect in the MIB
index disaggregated at the sectoral level. The day-of-the-week effect is a regularity in the
stock market that usually takes the form of significantly negative mean returns on the first day
of the trading week (i.e., on Monday) and abnormally high mean returns on the last day
(i.e., Friday). Many empirical studies have analyzed this issue relative to developed
stock markets. For instance, Barone (1990) investigates the impact of particular dates on the
MIB stock index between 1975 and 1989. The calendar anomalies observed are the start of
the month, the 30th and 31st of the month as well as Tuesdays and Fridays. Comparing
these results with those of the US stock markets, the author argues that while in the US the
largest falls in stock prices occur on Mondays, in Italy, they occur both on Mondays and
Tuesdays (whereas the most pronounced are on Tuesdays). Taking into account the different
time zones, Italy's results suggest that calendar effect may be imported from the US. Berument
and Kiymaz (2001) test the presence of the day-of-the-week effect during the period
1973-1997 by using the US S&P 500 stock index.
The results indicate that the day-of-the-week effect is present in the form of
highest returns on Wednesdays, while the lowest return are on Mondays. Analyzing the
day-of-the-week effect in the UK stock prices, Steeley (2001) argues that this effect seems
to have disappeared in the 1990s. On the other side, by portioning the returns into
negative and positive, the author finds that negative returns on Mondays and Fridays are
significantly different from their mid-week counterparts. Several researchers (Keim and Stambaugh,
1984; Smirlock and Starks, 1986; and Damodaran, 1989) explore the possible factors that
contribute to the day-of-the-week anomaly. They found that this phenomenon can be due to
factors such as settlement procedure, thin trading, measurement errors as well as a high number
of investment decisions taken at the weekends. Also, firm's size seems to be a major factor of
the weekend effect. For instance, Abraham and Ikenberry (1994) show that there is high
stock return differences in small- and medium-sized companies. |