The Predictive Power of the Term Spread and Financial Variables for Economic Activity across Countries

Menzie Chinn and Laurent Ferrara

No 32084, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: In recent years, there has been renewed interest in the moments of the yield curve (or alternatively, the term spread) as a predictor of future economic activity, defined as either recessions, or industrial production growth. In this paper, we re-examine the evidence for this predictor for the United States, other high-income countries, as well as selected emerging market economies (Brazil, India, China, South Africa and South Korea), over the 1995-2023 period. We examine the sensitivity of the results to the addition of financial variables that measure other dimensions of financial conditions both domestically and internationally. Specifically, we account for financial conditions indexes (Arrigoni, et al., 2022), the debt service ratio (Borio, et al., 2020), and foreign term spreads (Ahmed and Chinn, 2023). We find that foreign term spreads and the debt service ratio in many cases yield substantially better predictive power, in terms of in-sample fit using proportion of variance explained. Overall, the predictive power of the yield curve, as well as other financial variables, varies across countries, with particularly little explanatory power in emerging market economies.

JEL-codes: C22 E37 E43 (search for similar items in EconPapers)
Date: 2024-01
New Economics Papers: this item is included in nep-fdg and nep-ifn
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