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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 |
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 |
Sicherheitshinweis