Quantitative Research Methods in Corporate Finance

Taylan Mavruk

ISBN 10: 1009307436 / ISBN 13: 9781009307437

Published by Cambridge University Press, 2025

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9781009307437

Bibliographic Details

• Title: Quantitative Research Methods in Corporate Finance
• Publisher: Cambridge University Press
• Publication Date: 2025
• Language: English
• ISBN 10: 1009307436
• ISBN 13: 9781009307437
• Binding: Buch
• Condition: Neu
• Dimensions: 260W x 183H x 22D millimeters 260 millimeters width by 183 millimeters height by 22 millimeters depth
• Weight: 799 grams

About this title

Synopsis

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.

About the Author

Taylan Mavruk is a Professor of Finance at the University of Gothenburg. His research focuses on corporate finance, investor behaviour, home/local bias, insider trading, CSR/ESG, mutual fund performance, and economics of patents. His research has been published in leading finance journals. Taylan has been teaching in courses related to corporate finance and econometrics since 2006.