IPO Performance in Short- and Long-Run
This project investigates the underpricing phenomenon of initial public offering (IPO) both in the short- and long-run. The project uses a variety of empirical methods used in IPO research. Following are the
detail of this project:
- Importing different files from Excel
- Reshaping the data to a long format
- Merging different datasets
- Finding summary statistics of the variables
- Outliers are detected and winsorized
- To investigate the short-run performance of IPOs, we find first-day returns and market-adjusted returns
- And to investigate the long-run performance of IPOs, we find and test the following:
- Cumulative Abnormal returns (CARs)
- Buy and Hold Returns over a 36 month period or until the firm is delisted.
- Testing the above returns for statistical significance using t-test
- Further, returns are adjusted for risk factors using CAPM, Fama and French 3 Factor model, etc.
Our Stata Code
We have developed easy to use yet robust codes for the above steps. The codes need just a basic understanding of Stata. Further, our comments on each line of code will surely help you in running the code as well as in understanding the process more clearly. We normally share all Stata files, the raw data files, and Stata codes with comments. The purpose is to help researchers to learn and apply these codes on their own. We also try to answer questions that might arise at a later stage when the researcher applies these codes.
Pricing
The code is available for $199 with some example data. The Fama and French factors are downloaded from Fama and French library. Incase the Fama and French Factors need to be developed from scratch, there is an additional fee of $149.
Pay with PayPal or Credit Card
Contact us
For further details, please contact us at:
attaullah.shah@imsciences.edu.pk
Stata.Professor@gmail.com
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: P24
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References
Binder, J. (1998). The event study methodology since 1969. Review of quantitative Finance and Accounting, 11(2), 111-137.