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TRENDY EKONOMIKY A MANAGEMENTU / TRENDS ECONOMICS AND MANAGEMENT
Table 3. Seasonal anomalies‘ summary in Lithuanian stock market
Week-of-the-month seasonality
Standard deviation, %
4,00%
3,50%
3,00%
2,50%
2,00%
1,50%
1,00%
0,50%
0,00%
0,26%
Year January barometer Helloween indicator December mimic
2010 ? ? ?
2009 1 X X
2008 1 1 1
2007 1 X 1
2006 X 1 1
2005 1 1 1
2004 1 1 1
2003 1 X 1
2002 1 1 X
2001 X 1 1
2000 X 1 1
Average OMXV index week-of-the-month changes (2000-2010)
0,18%
0,09%
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ROČNÍK IV – ČÍSLO 06 / VOLUME IV – NUMBER 06
Source: http://www.nasdaqomxbaltic.com data
0,34%
0,72%
0,80%
0,70%
0,60%
0,50%
0,40%
0,30%
0,20%
0,10%
Week no.
0,00%
1 2 3 4 5
Average change, % Standard deviation, %
Figure 2. Average weekly OMXV index changes (2000-2010)
Looking if there are any calendar
effects in weekly seasonality we found that
second half of the month is statistically better
for stocks than the first part. As we see from
Figure 2 in the middle of the month market
stays comparably calm and less profitable than
the beginning and the end of the month.
Average change, %
Source: authors’ compilation
Analysis shows that fifth week of the
month generates abnormal returns compared
with the rest. Lithuanian index was positive
67% of the time and during that week standard
deviation was lowest. More detail view we
represent in Table 4.