Peter C. B. Phillips

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.

The twenty especially commissioned esays in this volume cover a wide field of recent and topical research dealing with both theory and application of econometrics. The contributors comprise an international and distinguished group of economists, econometricians, modelers and statisticians. The volume will be of wide interest to all those concernedd with modelling, forecasting and other applications of econometrics. The volume is divided into five parts according to separate themes of research that include continuoustime modelling, finite sample theory, dynamic econometric modeling, and empirical applications in macroeconomics, industry and finance. The essays make methodological, empirical and theoretical advances in each of these fields, including many recent topics of intense research such as nonlinear modeling, parameter parsimony, business cycles, Euler equation methodology, rational expectations, vector autoregressions, cointegrated systems, unit roots and semiparametric models. The volume is dedicated to A. R. Bergstrom and contains a review of his research in these various fields and his essay, What is Econometrics?