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A tale of two tails: 130 years of growth-at-risk

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  • Martin Gachter
  • Elias Hasler
  • Florian Huber

Abstract

We extend the existing growth-at-risk (GaR) literature by examining a long time period of 130 years in a time-varying parameter regression model. We identify several important insights for policymakers. First, both the level as well as the determinants of GaR vary significantly over time. Second, the stability of upside risks to GDP growth reported in earlier research is specific to the period known as the Great Moderation, with the distribution of risks being more balanced before the 1970s. Third, the distribution of GDP growth has significantly narrowed since the end of the Bretton Woods system. Fourth, financial stress is always linked to higher downside risks, but it does not affect upside risks. Finally, other risk indicators, such as credit growth and house prices, not only drive downside risks, but also contribute to increased upside risks during boom periods. In this context, the paper also adds to the financial cycle literature by completing the picture of drivers (and risks) for both booms and recessions over time.

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  • Martin Gachter & Elias Hasler & Florian Huber, 2023. "A tale of two tails: 130 years of growth-at-risk," Papers 2302.08920, arXiv.org.
    • Handle: RePEc:arx:papers:2302.08920
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    Cited by:

    1. Cristian Andrei Budris & Bogdan Dima, 2024. "Exploring The Fama-French Five Factor Model Within a Time-Varying Parameters Framework," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 16(2), pages 309-357, December.
    2. Gächter, Martin & Hasler, Elias & Scharler, Johann, 2023. "Kicking the can down the road: A historical growth-at-risk perspective," Economics Letters, Elsevier, vol. 228(C).

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