Time Series Models for Business and Economic Forecasting / Edition 2

by Philip Hans Franses

Overview

Time Series Models for Business and Economic Forecasting by Philip Franses is the most up to-date and accessible guide to one of the fastest growing areas in business and economic analysis. Philip Franses is a rising star within econometrics teaching and research, and is widely regarded as one of the most accomplished young econometricians in Europe. This textbook is based around his highly successful lecture programme for multi-diciplinary, graduate and undergraduate students.

Product Details

ISBN-13:	2900521520910
Publication date:	04/24/2014
Pages:	311
Product dimensions:	6.00(w) x 1.25(h) x 9.00(d)

About the Author

Philip Hans Franses is Professor of Applied Econometrics and Professor of Marketing Research at the Erasmus School of Economics.

Dick van Dijk is Professor of Financial Econometrics at the Erasmus School of Economics.

Anne Opschoor has recently completed a Ph.D. at the Erasmus School of Economics and is an Assistant Professor at the Free University.

Table of Contents

Preface; 1. Introduction and overview; 2. Key features of economic time series; 3. Useful concepts in univariate time series analysis; 4. Trends; 5. Seasonality; 6. Aberrant observations; 7. Conditional heteroskedasticity; 8. Non-linearity; 9. Multivariate time series; Index.

Editorial Reviews

"I highly recommend the second edition of this book. The authors have made wise choices of covering the most valuable and practical time-series methods for economic and business forecasting. The text is well written and the exercises and illustrations connect with some of the best statistical software available. In an age of digital time-series data explosion in a variety of disciplines, this book can only gain in importance and impact."
Dominique M. Hanssens, Bud Knapp Distinguished Professor of Marketing, University of California, Los Angeles

"This book is well written; it takes the reader through a carefully selected part of the recent and important research on time series models to be used for out-of-sample forecasting. In short, the book is a must for students of this area."
Svend Hylleberg, Dean of the School of Business and Social Sciences, Aarhus University

From the Publisher