Introductory Econometrics for Finance (inbunden)
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Format
Häftad (Paperback)
Språk
Engelska
Antal sidor
724
Utgivningsdatum
2019-03-28
Upplaga
4
Förlag
Cambridge University Press
Dimensioner
242 x 188 x 28 mm
Vikt
1550 g
ISBN
9781108436823

Introductory Econometrics for Finance

av Chris Brooks, Chris Brooks, Chris Brooks
Häftad,  Engelska, 2019-03-28
713
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A complete resource for finance students, this textbook presents the most common empirical approaches in finance in a comprehensive and well-illustrated manner that shows how econometrics is used in practice, and includes detailed case studies to explain how the techniques are used in relevant financial contexts. Maintaining the accessible prose and clear examples of previous editions, the new edition of this best-selling textbook provides support for the main industry-standard software packages, expands the coverage of introductory mathematical and statistical techniques into two chapters for students without prior econometrics knowledge, and includes a new chapter on advanced methods. Learning outcomes, key concepts and end-of-chapter review questions (with full solutions online) highlight the main chapter takeaways and allow students to self-assess their understanding. Online resources include extensive teacher and student support materials, including EViews, Stata, R, and Python software guides.

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Chris Brooks, Chris Brooks, Chris Brooks

Övrig information

Chris Brooks is Professor of Finance and Director of Research at the ICMA Centre, Henley Business School, University of Reading, where he also obtained his Ph.D. He has diverse research interests and has published over a hundred articles in leading academic and practitioner journals, and six books. He is Associate Editor of several journals, including the Journal of Business Finance and Accounting, the International Journal of Forecasting and the British Accounting Review. He acts as consultant and advisor for various banks, corporations and professional bodies in the fields of finance, real estate, and econometrics.

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