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Financial-cycle ratios and medium-term predictions of GDP: Evidence from the United States

Graziano Moramarco

arXiv 1 Nov 2021 · Econometrics · publishedInternational Journal of Forecasting (2023) · 2 citations (OpenAlex)

arXiv:2111.00822 · PDF · DOI · OpenAlex · Extracted main text

Abstract

Using a large quarterly macroeconomic dataset for the period 1960-2017, we document the ability of specific financial ratios from the housing market and firms' aggregate balance sheets to predict GDP over medium-term horizons in the United States. A cyclically adjusted house price-to-rent ratio and the liabilities-to-income ratio of the non-financial non-corporate business sector provide the best in-sample and out-of-sample predictions of GDP growth over horizons of one to five years, based on a wide variety of rankings. Small forecasting models that include these indicators outperform popular high-dimensional models and forecast combinations. The predictive power of the two ratios appears strong during both recessions and expansions, stable over time, and consistent with well-established macro-finance theory.

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Most heavily cited references

The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.

ReferenceIntensityMentionsSectionsMain text
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2Davis, M.A., Lehnert, A., and Martin, R.F (2008) The Rent-Price Ratio for the Aggregate Stock of Owner-Occupied Housing1.00074100%
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6Adrian, T., Boyarchenko, N., and Giannone, D (2019) Vulnerable Growth0.87462100%
7Adrian, T., Grinberg, F., Liang, N., Malik, S., and Yu, J (2022) The Term Structure of Growth-at-Risk0.87462100%
8Campbell, J.Y. and Shiller, R.J (1998) Valuation Ratios and the Long-Run Stock Market Outlook0.84333100%
9Chauvet, M. and Potter, S (2013) Forecasting Output, in G. Elliott and A. Timmermann, eds., Handbook of Economic Forecasting0.84333100%
10Bernanke, B.S., Gertler, M., and Gilchrist, S (1999) The Financial Accelerator in a Quantitative Business Cycle Framework, in J.B0.81142100%

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Cited by, within the corpus

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