Forecasting macroeconomic risk in real time: Great and Covid-19 Recessions

Roberto De Santis () and Wouter Van der Veken

No 2436, Working Paper Series from European Central Bank

Abstract: We show that financial variables contribute to the forecast of GDP growth during the Great Recession, providing additional insights on both first and higher moments of the GDP growth distribution. If a recession is due to an unforeseen shock (such as the Covid-19 recession), financial variables serve policymakers in providing timely warnings about the severity of the crisis and the macroeconomic risk involved, because downside risks increase as financial stress and corporate spreads become tighter. We use quantile regression and the skewed t-distribution and evaluate the forecasting properties of models using out-of-sample metrics with real-time vintages. JEL Classification: C53, E23, E27, E32, E44

Keywords: Covid-19 Recession; downside risks; Great Recession; non-linear models; real-time forecast (search for similar items in EconPapers)
Date: 2020-07
New Economics Papers: this item is included in nep-for, nep-mac and nep-rmg
Note: 185689
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:ecb:ecbwps:20202436

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