Arbeitspapier

The Global Economic Barometers: Composite indicators for the world economy

This paper presents a coincident and a leading composite monthly indicator for the world business cycle - the Global Economic Barometers. Both target the world's output growth rate cycle. The calculation of these indicators comprises two main stages. The first consists of a variable selection procedure, in which a pre-set correlation threshold and the targeted leads to a reference series are used as selection criteria. In the second stage, the selected variables are combined and transformed into the respective composite indicators, computed as the first partial least squares factor with the reference series as response variable. In the last vintage referred to in this paper (December 2018), out of 6605 transformations from 1681 variables tested in the first stage, 1275 are selected to enter into the coincident and 1228 into the leading composite indicator. We analyse the characteristics of the two new indicators in a pseudo real-time setting and demonstrate that both are useful additions to the small number of indicators for the global business cycle published so far.

Language
Englisch

Bibliographic citation
Series: KOF Working Papers ; No. 471

Classification
Wirtschaft
Business Fluctuations; Cycles
Prices, Business Fluctuations, and Cycles: Forecasting and Simulation: Models and Applications
Subject
Business cycles
growth rate cycles
composite indicators
leading indicators
coincidentindicators
partial least squares
real-time simulations

Event
Geistige Schöpfung
(who)
Abberger, Klaus
Graff, Michael
Campelo, Aloisio
Lemos Gouveia, Anna Carolina
Müller, Oliver
Sturm, Jan-Egbert
Event
Veröffentlichung
(who)
ETH Zurich, KOF Swiss Economic Institute
(where)
Zurich
(when)
2020

DOI
doi:10.3929/ethz-b-000401651
Handle
Last update
10.03.2025, 11:42 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Abberger, Klaus
  • Graff, Michael
  • Campelo, Aloisio
  • Lemos Gouveia, Anna Carolina
  • Müller, Oliver
  • Sturm, Jan-Egbert
  • ETH Zurich, KOF Swiss Economic Institute

Time of origin

  • 2020

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