the day of the event. The event window is
researched for 11 days, from t-5, t0, to t + 5. Before
discussing the variables to be used in the control
policy. Return which is the rate of investor return on
investment and market return is the reaction rate
against. Stock returns the latest results from stock
prices. The market index used is the Composite
Stock Price Index. Therefore, the variables used to
determine the impact on the capital market in
Indonesia with the abnormal return of each share.
Abnormal return calculation is the difference
between the actual return that occurs with the
expected return of the investor (expected return).
Return of expectation must be estimated and in this
research using market model.
5 CONCLUSIONS
The conclusions in this paper are as follows:
1. Based on the results of the first hypothesis
testing, it can be concluded that there are
abnormal returns obtained by investors in the
Indonesian capital market around the tobacco
policy announcements in 2003, 2009, and 2012
respectively.
a. PP no. 19 of 2003 on Security Cigarettes
for Health responded as good news on four
days before the announcement, and on the
day of the announcement due to the
abnormal return positive move.
b. The day of the 2003 WHO Framework
Convention on Tobacco Control (FCTC)
came out as bad news for the market
because the abnormal return was negative at
t [-5, -4, -1,0, + 2, + 3, + 5], although the
value was not statistically significant.
c. The announcement of RI Law. 36 Year
2009 on Health gave a positive impact
abnormal return for the market although it
is not statistically significant.
d. Since PP No. 109 in 2012 on Security of
Ingredients Containing Addictive
Substances in the form of Tobacco Products
for Health was announced, for three days
after the announcement, the market
received a negative signal with a negative
abnormal return value and then moved
postively then down again on the fifth day
after the announcement.
2. There is an average difference in the abnormal
returns before and after tobacco control policies
but the value is not significant.
3. By testing One Way Anova, it is noted that the
average abnormal return is different and also has
a different population variance.
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