Tracking the Business Cycle of the Euro Area

This article proposes a multivariate bandpass filter based on the trend plus cycle decomposition model. The underlying multivariate dynamic factor model relies on specific formulations for trend and cycle components and produces smooth business cycle indicators with bandpass filter properties. Furthermore, cycle shifts for individual time series are incorporated as part of the multivariate model and estimated simultaneously with the remaining parameters. The inclusion of leading, coincident, and lagging variables for the measurement of the business cycle is therefore possible without a prior analysis of lead–lag relationships between economic variables. This method also permits the inclusion of time series recorded with mixed frequencies. For example, quarterly and monthly time series can be considered simultaneously without ad hoc interpolations. The multivariate approach leads to a business cycle indicator that is less subject to revisions than those produced by univariate filters. The reduction of revisions is a key feature in real-time assessment of the economy. Finally, the proposed method computes a growth indicator as a byproduct. The new approach of tracking business cycle and growth indicators is illustrated in detail for the Euro area. The analysis is based on nine key economic time series

Business cycle · Dynamic factor · Econometrics · Economics · Hodrick–Prescott filter · Lag · Lagging · Macroeconomics · Multivariate statistics · Statistics · Univariate · Computer Science · Global Financial Crisis and Policies · Italy: Economic History and Contemporary Issues · Mathematics · Monetary Policy and Economic Impact

• Joint Decomposition of Business and Financial Cycles

  Open Access•Jasper de Winter, Siem Jan Koopman et al.•Oxford Bulletin of Economics and…•2022

  Incluir item

• Disentangling the enigma of multi-structured economic cycles - A new appearance of the golden ratio

  Open Access•E A de Groot, Rene Segers et al.•Technological Forecasting and…•2021

  Incluir item

• New Eurocoin

  Filippo Altissimo, Riccardo Cristadoro et al.•The Review of Economics and…•2010

  Incluir item

• The Band Pass Filter

  Open Access•Lawrence J Christiano, Terry J Fitzgerald•International Economic Review•2003

  Incluir item

• Postwar U.S. Business Cycles

  Robert J Hodrick, Edward C Prescott•Journal of money credit and banking•1997

  Incluir item

• Detrending, stylized facts and the business cycle

  Open Access•Andrew Harvey, A C Harvey et al.•Journal of Applied Econometrics•1993

  Incluir item

• The Use of Butterworth Filters for Trend and Cycle Estimation in Economic Time Series

  Víctor Gómez, Vı́ctor Gómez•Journal of Business and Economic…•2001

  Incluir item

• Macroeconomic Forecasting Using Diffusion Indexes

  James H Stock, Mark W Watson•Journal of Business and Economic…•2002

  Incluir item

• The Unreliability of Output-Gap Estimates in Real Time

  Athanasios Orphanides, Simon van Norden•The Review of Economics and…•2002

  Incluir item

• General Model-Based Filters for Extracting Cycles and Trends in Economic Time Series

  Andrew Harvey, Andrew C Harvey et al.•The Review of Economics and…•2003

  Incluir item

• The Generalized Dynamic-Factor Model

  Mario Forni, Marc Hallin et al.•The Review of Economics and…•2000

  Incluir item

• Measuring Business Cycles

  Marianne Baxter, Robert G King•The Review of Economics and…•1999

  Incluir item