Financial econometrics brings financial theory and econometric methods together with the power of data to advance understanding of the global financial universe upon which all modern economies depend. Financial Econometric Modeling is an introductory text that meets the learning challenge of integrating theory, measurement, data, and software to understand the modern world of finance. Empirical applications with financial data play a central position in this book's exposition. Each chapter is a how-to guide that takes readers from ideas and theories through to the practical realities of modeling, interpreting, and forecasting financial data. The book reaches out to a wide audience of students, applied researchers, and industry practitioners, guiding readers of diverse backgrounds on the models, methods, and empirical practice of modern financial econometrics. Financial Econometric Modeling delivers a self-contained first course in financial econometrics, providing foundational ideas from financial theory and relevant econometric technique. From this foundation, the book covers a vast arena of modern financial econometrics that opens up empirical applications with data of the many different types that are now generated in financial markets. Every chapter follows the same principle ensuring that all results reported in the book may be reproduced using standard econometric software packages such as Stata or EViews, with a full set of data and programs provided to ensure easy implementation.

About the Author
Stan Hurn is Professor of Econometrics at Queensland University of Technology. He held previous positions at the University of Glasgow and Brasenose College, Oxford. He is a Fellow of the Society of Financial Econometrics and Founding Member and Director of the National Centre for Econometric Research in Australia. Vance L. Martin is Professor of Econometrics at the University of Melbourne. He has published widely in the area of financial econometrics and is coauthor, with Stan Hurn, of the highly successful introductory text Econometric Modeling with Time Series Specification, Estimation, and Testing (2013). Peter C.B. Phillips is Sterling Professor of Economics at Yale University, Distinguished Professor at the University of Auckland, and Distinguished Term Professor at Singapore Management University. He is Founding Editor of the journal Econometric Theory and an elected fellow of many learned societies including the British Academy, the American Academy of Arts and Sciences, and the Royal Society of New Zealand. His work has advanced diverse areas of econometrics, introduced new methods of research in financial economics, and influenced applied work throughout the social and business sciences. Jun Yu is Lee Kong Chian Professor of Economics and Finance at Singapore Management University and Lead Principal Investigator at the Centre for Research on the Economics of Aging (CREA). He is a Fellow of the Journal of Econometrics and the Society of Financial Econometrics, and an Associate Editor of the Journal of Econometrics, Econometric Theory, and Journal of Financial Econometrics.

Reviews
Financial econometrics is the study and application of compelling econometric methods with a cogent financial purpose. This new book delivers a masterful introduction to financial econometrics at its best. It does so with enticing prose, motivating examples, utmost clarity and, ultimately, just the right balance of breadth and depth. In a world of big data and new technologies, not only does this rich treatment provide the fundamentals needed for more advanced explorations but also, in my view, the desire to explore further. To anyone new to this field, or to anyone who does not believe the field to be approachable and exciting, I say: this book will be an eye-opener. * Federico M. Bandi, James Carey Endowed Professor in Business, Johns Hopkins University *
A comprehensive and long-overdue pedagogical treatment of financial econometrics * the only book to cover concepts, methodology, and empirical examples demonstrated with popular Stata and EViews software accessible to beginning students. The book is a self-contained first course, achieving the remarkable feat of an exhaustive introductory treatment that is inspiring, rigorous, and easy to read with clever organization into fundamentals, methods, and topics. A must-have reference source, perfect for teaching financial econometrics in masters courses or to graduate students with limited backgrounds.Eric Renault, C.V. Starr Professor of Economics, University of Warwick *
Financial Econometric Modeling provides a broad introduction to financial econometrics, with an emphasis on applications and encouraging students to get their hands dirty from the very beginning. The authors cover a vast amount of material. The fact that all of the topics come with sample data sets for students to use * and all of the empirical work in the book can be replicated in EViews and Statawill be very attractive to many instructors and students.Andrew Patton, Zelter Family Professor of Economics, Duke University *
I strongly recommend this textbook. It offers the perfect mix between solid bases and new developments, and between theoretical descriptions of tools and algorithms and a rich set of fully worked-out examples. * Massimo Guidolin, Professor of Finance, Bocconi University *



Book Information
ISBN 9780190857066
Author Stan Hurn
Format Paperback
Page Count 640
Imprint Oxford University Press Inc
Publisher Oxford University Press Inc
Weight(grams) 1110g
Dimensions(mm) 238mm * 196mm * 30mm