Forecasting Macroeconomic Risks

Patrick A. Adams (), Tobias Adrian, Nina Boyarchenko and Domenico Giannone
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Patrick A. Adams: https://mitsloan.mit.edu/programs/phd/patrick-adams

No 914, Staff Reports from Federal Reserve Bank of New York

Abstract: We construct risks around consensus forecasts of real GDP growth, unemployment, and inflation. We find that risks are time-varying, asymmetric, and partly predictable. Tight financial conditions forecast downside growth risk, upside unemployment risk, and increased uncertainty around the inflation forecast. Growth vulnerability arises as the conditional mean and conditional variance of GDP growth are negatively correlated: downside risks are driven by lower mean and higher variance when financial conditions tighten. Similarly, employment vulnerability arises as the conditional mean and conditional variance of unemployment are positively correlated, with tighter financial conditions corresponding to higher forecasted unemployment and higher variance around the consensus forecast.

Keywords: financial conditions; macroeconomic uncertainty; quantile regressions (search for similar items in EconPapers)
JEL-codes: C22 E17 E37 (search for similar items in EconPapers)
Date: 2020-02-01
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Citations: View citations in EconPapers (1)

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Related works:
Journal Article: Forecasting macroeconomic risks (2021)
Working Paper: Forecasting Macroeconomic Risks (2020)
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