Financial Econometrics, Mathematics and Statistics Theory, Method and Application /

This rigorous textbook introduces graduate students to the principles of econometrics and statistics with a focus on methods and applications in financial research. Financial Econometrics, Mathematics, and Statistics illustrates tools and methods important for both finance and accounting that assist...

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Bibliographic Details
Main Authors: Lee, Cheng-Few (Author), Chen, Hong Yi (Author), Lee, John (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 2019.
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Online Access: Full text (Wentworth users only)
Description
Summary:This rigorous textbook introduces graduate students to the principles of econometrics and statistics with a focus on methods and applications in financial research. Financial Econometrics, Mathematics, and Statistics illustrates tools and methods important for both finance and accounting that assist with asset pricing, corporate finance, options and futures, and conducting financial accounting research. Divided into four parts, the text offers insight into the following models and topics, among others: • Multiple linear regression • Time-series analysis • Option pricing models • Risk management • Heteroskedasticity • Itô’s Calculus • Spurious regression • Errors-in-variable Written by leading academics in the quantitative finance field, this book allows readers to implement the principles behind financial econometrics and statistics through real-world applications and problem sets. It will appeal to a less-served market of advanced students and scholars in finance, economics, accounting, and statistics.
Physical Description:XX, 655 pages 129 illustrations, 57 illustrations in color : online resource.
ISBN:9781493994298
DOI:10.1007/978-1-4939-9429-8