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

Mavruk

9781009307413: Quantitative Research Methods in Corporate Finance: Exemplified by Stata, Python, and R

Softcover

ISBN 10: 100930741X ISBN 13: 9781009307413

Publisher: Cambridge University Press, 2025

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

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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.

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Publisher: Cambridge University Press
Publication date: 2025
Language: English
ISBN 10: 100930741X
ISBN 13: 9781009307413
Binding: Paperback
Number of pages: 320

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9781009307437: Quantitative Research Methods in Corporate Finance: Exemplified by Stata, Python, and R

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ISBN 10: 1009307436 ISBN 13: 9781009307437
Publisher: Cambridge University Press, 2025
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Quantitative Research Methods in Corporate Finance : Exemplified by Stata, Python, and R

Mavruk, Taylan

Published by Cambridge University Press, 2025

ISBN 10: 100930741X ISBN 13: 9781009307413

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

Mavruk, Taylan

Published by Cambridge University Press, 2025

ISBN 10: 100930741X ISBN 13: 9781009307413

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Quantitative Research Methods in Corporate Finance (Paperback)

Taylan Mavruk

Published by Cambridge University Press, Cambridge, 2025

ISBN 10: 100930741X ISBN 13: 9781009307413

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Paperback. Condition: new. Paperback. 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. This innovative textbook develops students' understanding of empirical research in corporate finance, enabling them to apply econometric methods to their own research. Features include lab work and mini case studies. Code is provided in Stata, Python, and R, so students can develop their programming skills. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781009307413

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Quantitative Research Methods in Corporate Finance

Taylan Mavruk

Published by Cambridge University Press, GB, 2025

ISBN 10: 100930741X ISBN 13: 9781009307413

New Paperback

Seller: Rarewaves.com USA, London, LONDO, United Kingdom

Seller rating 5 out of 5 stars

Paperback. Condition: New. 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 # LU-9781009307413

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