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The Inverted Leading Indicator Property and Redistribution Effect of the Interest Rate

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  • Patrick Pintus

    (AMSE - Aix-Marseille Sciences Economiques - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique)

  • Yi Wen

    (Antai College of Economics and Management, Shanghai Jiao Tong University)

  • Xiaochuan Xing

    (Yale University [New Haven])

Abstract

The interest rate at which US firms borrow funds has two features: (i) it moves in a countercyclical fashion and (ii) it is an inverted leading indicator of real economic activity: low interest rates today forecast future booms in GDP, consumption, investment, and employment. We show that a Kiyotaki-Moore model accounts for both properties when interest-rate movements are driven, in a significant way, by self-fulfilling belief shocks that redistribute income away from lenders and to borrowers during booms. The credit-based nature of such self-fulfilling equilibria is shown to be essential: the dynamic correlation between current loanable funds rate and future aggregate economic activity depends critically on the property that the interest rate is state-contingent. Bayesian estimation of our benchmark DSGE model on US data shows that the model driven by redistribution shocks results in a better fit to the data than both standard RBC models and Kiyotaki-Moore type models with unique equilibrium.

Suggested Citation

  • Patrick Pintus & Yi Wen & Xiaochuan Xing, 2022. "The Inverted Leading Indicator Property and Redistribution Effect of the Interest Rate," Working Papers hal-03669938, HAL.
    • Handle: RePEc:hal:wpaper:hal-03669938
    Note: View the original document on HAL open archive server: https://amu.hal.science/hal-03669938v1
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    Cited by:

    1. Patrick A. Pintus & Yi Wen & Xiaochuan Xing, 2019. "International credit markets and global business cycles," International Journal of Economic Theory, The International Society for Economic Theory, vol. 15(1), pages 53-75, March.
    2. Wei Dai & Mark Weder & Bo Zhang, 2020. "Animal Spirits, Financial Markets, and Aggregate Instability," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 52(8), pages 2053-2083, December.
    3. Joshua Brault & Hashmat Khan, 2020. "The Shifts In Lead‐Lag Properties Of The U.S. Business Cycle," Economic Inquiry, Western Economic Association International, vol. 58(1), pages 319-334, January.
    4. Haque, Qazi & Pavlov, Oscar & Weder, Mark, 2025. "Endogenous business cycles with small and large firms," European Economic Review, Elsevier, vol. 177(C).
    5. Pintus, Patrick A. & Wen, Yi & Xing, Xiaochuan, 2022. "The inverted leading indicator property and redistribution effect of the interest rate," European Economic Review, Elsevier, vol. 148(C).
    6. Patrick Pintus, 2017. "Why is the Interest Rate an Inverted Leading Indicator of Macroeconomic Activity in the United States?," Rue de la Banque, Banque de France, issue 49, october..

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    JEL classification:

    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O43 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Institutions and Growth
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • O57 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries

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