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Quantitative Research Methods in Corporate Finance
Taschenbuch von Taylan Mavruk
Sprache: Englisch

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Beschreibung
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 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.
Über den Autor
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.
Inhaltsverzeichnis
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.
Details
Erscheinungsjahr: 2025
Fachbereich: Werbung & Marketing
Genre: Importe, Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Taschenbuch
ISBN-13: 9781009307413
ISBN-10: 100930741X
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Mavruk, Taylan
Hersteller: Cambridge University Press
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 254 x 178 x 17 mm
Von/Mit: Taylan Mavruk
Erscheinungsdatum: 19.02.2025
Gewicht: 0,605 kg
Artikel-ID: 131750357
Über den Autor
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.
Inhaltsverzeichnis
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.
Details
Erscheinungsjahr: 2025
Fachbereich: Werbung & Marketing
Genre: Importe, Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Taschenbuch
ISBN-13: 9781009307413
ISBN-10: 100930741X
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Mavruk, Taylan
Hersteller: Cambridge University Press
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 254 x 178 x 17 mm
Von/Mit: Taylan Mavruk
Erscheinungsdatum: 19.02.2025
Gewicht: 0,605 kg
Artikel-ID: 131750357
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