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Danilo Leiva-Leon

24 March 2020
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.
JEL Code
E32 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Business Fluctuations, Cycles
C22 : Mathematical and Quantitative Methods→Single Equation Models, Single Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models &bull Diffusion Processes
E27 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Forecasting and Simulation: Models and Applications
25 March 2020
This paper decomposes the time-varying effect of exogenous exchange rate shocks on euro area countries inflation into country-specific (idiosyncratic) and region-wide (common) components. To do so, we propose a flexible empirical framework based on dynamic factor models subject to drifting parameters and exogenous information. We show that exogenous shocks to the EUR/USD exchange rate account for over 50% of nominal EUR/USD exchange rate fluctuations in more than a third of the quarters of the past six years, especially in turning point periods. Our main results indicate that headline inflation in euro area countries, and in particular its energy component, has become significantly more affected by these exogenous exchange rate shocks since the early 2010s, in particular for the region's largest economies. While in the case of headline inflation this increasing sensitivity is solely reliant on a sustained surge in the degree of comovement, for energy inflation it is also based on a higher region-wide effect of the shocks. By contrast, purely exogenous exchange rate shocks do not seem to have a significant impact on the core component of headline inflation, which also displays a lower degree of comovement across euro area countries.
JEL Code
C32 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models, Diffusion Processes
E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
F31 : International Economics→International Finance→Foreign Exchange
F41 : International Economics→Macroeconomic Aspects of International Trade and Finance→Open Economy Macroeconomics