The ENSO cycle and forecastability of global inflation and output growth : evidence from standard and mixed-frequency multivariate singular spectrum analyses
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Date
Authors
Reza Yeganegi, Mohammad
Hassani, Hossein
Gupta, Rangan
Journal Title
Journal ISSN
Volume Title
Publisher
Wiley
Abstract
In this paper, the role of the El Niño-Southern Oscillation (ENSO), measured by the Equatorial Southern Oscillation Index (EQSOI), is used to formally forecast the inflation and GDP growth rates of the United States, advanced (excluding the United States) and emerging countries, as well as the world economy (barring the United States). We rely on univariate and multivariate singular spectrum analyses (SSA), as well as mixed-frequency version of the latter since the EQSOI is monthly, while GDP is available only at quarterly frequency unlike monthly inflation rates. We find statistically significant evidence of the ability of the EQSOI in forecasting inflation and GDP growth rates of the four economic blocs, though there are exceptions in terms of forecasting gains associated with inflation rate of emerging economies and the growth rate of the United States. Our results have important implications for policymakers.
Description
DATA AVAILABILITY STATEMENT : The data that support the findings of this study are available from the corresponding author upon reasonable request.
Keywords
Continuous wavelet transform, Forecastibility, El Niño-Southern Oscillation (ENSO), GDP growth, Gross domestic product (GDP), Inflation, Mixed-frequency multivariate, Singular spectrum analyses (SSA), Equatorial Southern Oscillation Index (EQSOI), SDG-08: Decent work and economic growth
Sustainable Development Goals
Citation
Reza Yeganegi, M.,Hassani, H., & Gupta, R. (2023). The ENSO cycle and forecastability of global inflation and output growth: Evidence from standard and mixed-frequency multivariate singular spectrum analyses. Journal of Forecasting, 42(7), 1690–1707. https://doi.org/10.1002/for.2982.
