Quantitative Research Methods in Corporate Finance
Exemplified by Stata, Python, and R

Focuses on empirical research in corporate finance and teaches students to apply econometric methods in their own research and studies.

Taylan Mavruk (Author)

9781009307437, Cambridge University Press

Hardback, published 20 March 2025

318 pages
25.4 x 17.8 x 1.9 cm, 0.813 kg

'This is an excellent textbook for a course in empirical corporate finance.' Dong Li, University of Texas, Dallas

Focused on empirical methods and their applications to corporate finance, this innovative text equips students with the knowledge to analyse and critically evaluate quantitative research methods in corporate finance, and conduct computer-aided statistical analyses on various types of datasets. Chapters demonstrate the application of basic econometric models in corporate finance (as opposed to derivations or theorems), backed up by relevant research. Alongside practical examples and mini case studies, computer lab exercises enable students to apply the theories of corporate finance and make stronger connections between theory and practice, while developing their programming skills. All of the Stata code is provided (with corresponding Python and R code available online), so students of all programming abilities can focus on understanding and interpreting the analyses.

1. Introduction
2. The nature of sampling, non-parametric analysis, and hypothesis testing
3. Basic data analysis in Stata
4. Survey data analysis
5. Classical linear regression model
6. Endogeneity bias
7. Time series analysis
8. Event studies
9. Panel data analysis
10. Selection of models with limited dependent variables
11. Writing empirical papers in corporate finance
12. Future directions: Machine learning methods.

Subject Areas: Finance [KFF]