Skip to main content Accessibility help
Internet Explorer 11 is being discontinued by Microsoft in August 2021. If you have difficulties viewing the site on Internet Explorer 11 we recommend using a different browser such as Microsoft Edge, Google Chrome, Apple Safari or Mozilla Firefox.
Home
> Quantitative Research Methods in Corporate Finance

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

Coming soon in January 2025

Authors

, Göteborgs Universitet, Sweden

Description

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…

  • Add bookmark
  • Cite
  • Share

Key features

  • Explains the most commonly used econometric methods in corporate finance
  • Applications offer practical examples of how results may be interpreted; and lab work and mini case studies allow students to replicate the main findings of published research using the methods learned in the chapters. Students are able to apply the theories of corporate finance and make stronger connections between theory and practice
  • Provides all of the Stata code, with corresponding code for Python and R provided online

About the book

  • Subjects Economics,Finance and Accountancy,Statistics and Probability,Statistics for Econometrics, Finance and Insurance
  • Format: Paperback
    • Expected publication date: 31 March 2025
    • ISBN: 9781009307413
    • Dimensions (mm): 254 x 178 mm
    • Page extent: 304 pages
    • Availability: Not yet published - available from
  • Format: Hardback
    • Expected publication date: 31 March 2025
    • ISBN: 9781009307437
    • Dimensions (mm): 254 x 178 mm
    • Page extent: 304 pages
    • Availability: Not yet published - available from
  • Format: Digital
    • Expected publication date: 06 January 2025
    • ISBN: 9781009307383