Time Series Models for Business and Economic Forecasting

Review of the first edition: ‘Reviews the more recent developments in modeling time series to focus on generating ex ante forecasts: seasonal unit roots, period models, aberrant observations, and common features. For each method, intuitive motivation and practical considerations are discussed in detail, making the book very readable … should be beneficial for students and instructors of applications-oriented courses as well as for practitioners who wish to obtain a first, but not too technical, impression of time series forecasting using modern, recently developed methods.’ Journal of the American Statistical Association‘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

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.