Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/241074 
Year of Publication: 
2020
Series/Report no.: 
MNB Working Papers No. 2020/4
Publisher: 
Magyar Nemzeti Bank, Budapest
Abstract: 
We propose an empirical framework to measure the degree of weakness of the global economy in real-time. It relies on nonlinear factor models designed to infer recessionary episodes of heterogeneous deepness, and fitted to the largest advanced economies (U.S., Euro Area, Japan, U.K., Canada and Australia) and emerging markets (China, India, Russia, Brazil, Mexico and South Africa). Based on such inferences, we construct a Global Weakness Index that has three main features. First, it can be updated as soon as new regional data is released, as we show by measuring the economic effects of coronavirus. Second, it provides a consistent narrative of the main regional contributors of world economy's weakness. Third, it allows to perform robust risk assessments based on the probability that the level of global weakness would exceed a certain threshold of interest in every period of time. With information up to March 2nd 2020, we show that the Global Weakness Index already sharply increased at a speed at least comparable to the experienced in the 2008 crisis.
Subjects: 
International
Business Cycles
Factor Model
Nonlinear
JEL: 
E32
C22
E27
Document Type: 
Working Paper

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