I am currently working on a research project where I am doing an event study on the effect of a legislative process on the return of stock listed firms. The problem that I am facing right now is that I have four events within my event window. On top of that I have two events being very close to each other (within four days). t = 0 of the first event is 100 days prior to t = 0 of the fourth event. For each event I would like to look at the event window [-5;+5].
I am having trouble on how to correctly calculate the CAR (cumulated abnormal return) of each individual firm. Do I have to calculate first the AR (abnormal return) of each event within the event window (from [-5;+5]) and then add the AR of the four events together and divide them by four again?
This is an excerpt of the times up to the four events:
Code:
time_event1 | time_event2 | time_event3 | time_event4 |
… | … | … | … |
-12 | -16 | -98 | -112 |
-11 | -15 | -97 | -111 |
-10 | -14 | -96 | -110 |
-9 | -13 | -95 | -109 |
-8 | -12 | -94 | -108 |
-7 | -11 | -93 | -107 |
-6 | -10 | -92 | -106 |
-5 | -9 | -91 | -105 |
-4 | -8 | -90 | -104 |
-3 | -7 | -89 | -103 |
-2 | -6 | -88 | -102 |
-1 | -5 | -87 | -101 |
0 | -4 | -86 | -100 |
1 | -3 | -85 | -99 |
2 | -2 | -84 | -98 |
3 | -1 | -83 | -97 |
4 | 0 | -82 | -96 |
5 | 1 | -81 | -95 |
6 | 2 | -80 | -94 |
7 | 3 | -79 | -93 |
8 | 4 | -78 | -92 |
9 | 5 | -77 | -91 |
10 | 6 | -76 | -90 |
11 | 7 | -75 | -89 |
12 | 8 | -74 | -88 |
13 | 9 | -73 | -87 |
14 | 10 | -72 | -86 |
… | … | … | … |
Regards,
Jane
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