Event Study Methodology in Stata

An event study is used to examine reactions of the market to events of interest. Therefore, there are several areas where event studies are used including stock market reaction:
1. Dividend announcements;
2 Earning announcements;
2. Initial public offerings (IPOs);
3. Mergers and acquisitions;
4. Capital structure changes

An event study can also be used as a macroeconomic tool to analyze the impact of an event on an industry, sector or overall market.


Our Stata Code

We have developed easy to use yet robust codes for event study methodology. The codes need just a basic understanding of Stata.
Further, our comments on each line of code make the application of the codes not only easy, but also help users to understand the process more clearly.

We can also help by modifying the codes to match it with different research questions and hypotheses.


What is included in the package

The code package includes the following;
1. Getting the data ready for analysis
2. Creating the events files
3. Creating stock returns files
4. Creating files for market returns and risk free rates
5. Merging all these files together
6. Creating indicator variables for the event and estimation windows
7. Finding excess and abnormal returns
8. Optionally find cumulative abnormal returns
9. Conducting statistical tests on the returns
10. Graphs and Charts

We can also help by modifying the codes to match different research questions and hypothesis.



The code is available for $ 199. Payment can be made using any of the following methods.


   Wise bank transfer (preferred due to low transaction costs).

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Contact us

For further details, please contact us at:



How the codes are shared?

Once the payment is received, we guarantee to share the codes and relevant files within 24 hours. You can expect to receive them promptly through email. Our efficient process ensures a smooth and timely delivery of the materials you need to begin your event study analysis.

Project Code: P23

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Binder, J. (1998). The event study methodology since 1969. Review of quantitative Finance and Accounting11(2), 111-137.