Introductory Econometrics for Finance

Business & Finance, Finance & Investing, Finance, Nonfiction, Science & Nature, Mathematics
Cover of the book Introductory Econometrics for Finance by Chris Brooks, Cambridge University Press
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Author: Chris Brooks ISBN: 9781108526401
Publisher: Cambridge University Press Publication: March 28, 2019
Imprint: Cambridge University Press Language: English
Author: Chris Brooks
ISBN: 9781108526401
Publisher: Cambridge University Press
Publication: March 28, 2019
Imprint: Cambridge University Press
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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