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Stock price cycles and business cycles

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  • Adam, Klaus
  • Merkel, Sebastian

Abstract

We present a simple model that quantitatively replicates the behavior of stock prices and business cycles in the United States. The business cycle model is standard, except that it features extrapolative belief formation in the stock market, in line with the available survey evidence. Extrapolation amplifies the price effects of technology shocks and - in response to a series of positive technology surprises - gives rise to a large and persistent boom and bust cycle in stock prices. Boom-bust dynamics are more likely when the risk-free interest rate is low because low rates strengthen belief-based amplification. Stock price cycles transmit into the real economy by generating inefficient price signals for the desirability of new investment. The model thus features a 'financial accelerator', despite the absence of financial frictions. The financial accelerator causes the economy to experience persistent periods of over- and under-accumulation of capital. JEL Classification: E32, E44, G12

Suggested Citation

  • Adam, Klaus & Merkel, Sebastian, 2019. "Stock price cycles and business cycles," Working Paper Series 2316, European Central Bank.
  • Handle: RePEc:ecb:ecbwps:20192316
    Note: 321199
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    Cited by:

    1. Saki Bigio & Eduardo Zilberman, 2020. "Speculation-Driven Business Cycles," Working Papers Central Bank of Chile 865, Central Bank of Chile.
    2. policy, Work stream on macroprudential & Policy, Monetary & Stability, Financial & Albertazzi, Ugo & Martin, Alberto & Assouan, Emmanuelle & Tristani, Oreste & Galati, Gabriele & Vlassopoulos, Thomas , 2023. "The role of financial stability considerations in monetary policy and the interaction with macroprudential policy in the euro area," Occasional Paper Series 272, European Central Bank.
    3. Marlon Fritz & Thomas Gries & Lukas Wiechers, 2024. "An early indicator for anomalous stock market performance," Quantitative Finance, Taylor & Francis Journals, vol. 24(1), pages 105-118, January.
    4. Adrian, Tobias & Duarte, Fernando & Liang, Nellie & Zabczyk, Pawel, 2020. "Monetary and Macroprudential Policy with Endogenous Risk," CEPR Discussion Papers 14435, C.E.P.R. Discussion Papers.
    5. Ioana Manuela Mîndrican, 2023. "Monetary policy measures and strategies in the context of the adoption of the euro currency," Journal of Financial Studies, Institute of Financial Studies, vol. 14(8), pages 84-97, May.
    6. Klaus Adam & Oliver Pfäuti & Timo Reinelt, 2020. "Falling Natural Rates, Rising Housing Volatility and the Optimal Inflation Target," CRC TR 224 Discussion Paper Series crctr224_2020_235, University of Bonn and University of Mannheim, Germany.
    7. Solomon A. Olakojo & Abayomi T. Onanuga & Olaronke T. Onanuga, 2021. "COVID-19: Putting Stock Markets Back on Recovery Among the Crude Oil Producing Economies," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 15(1), February.
    8. policy, Work stream on macroprudential & Albertazzi, Ugo & Martin, Alberto & Assouan, Emmanuelle & Tristani, Oreste & Galati, Gabriele & Vlassopoulos, Thomas, 2021. "The role of financial stability considerations in monetary policy and the interaction with macroprudential policy in the euro area," Occasional Paper Series 272, European Central Bank.
    9. Annette Hofmann & Cristina Sattarhoff, 2023. "Underwriting Cycles in Property-Casualty Insurance: The Impact of Catastrophic Events," Risks, MDPI, vol. 11(4), pages 1-25, April.
    10. Zhang, Tongbin, 2021. "Stock prices and the risk-free rate: An internal rationality approach," Journal of Economic Dynamics and Control, Elsevier, vol. 127(C).
    11. Ignacio Escanuela Romana & Clara Escanuela Nieves, 2023. "A spectral approach to stock market performance," Papers 2305.05762, arXiv.org.
    12. Azqueta-Gavaldon, Andres & Hirschbühl, Dominik & Onorante, Luca & Saiz, Lorena, 2020. "Nowcasting business cycle turning points with stock networks and machine learning," Working Paper Series 2494, European Central Bank.
    13. Anmol Bhandari & Jaroslav Borovicka & Paul Ho, 2019. "Survey Data and Subjective Beliefs in Business Cycle Models," Working Paper 19-14, Federal Reserve Bank of Richmond.
    14. repec:fst:rfsisf:v:8:y:2023:i:14:p:84-97 is not listed on IDEAS
    15. Ifrim, Adrian, 2023. "Sentimental Discount Rate Shocks," EconStor Preprints 268363, ZBW - Leibniz Information Centre for Economics.

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    More about this item

    Keywords

    booms and busts; business cycles; financial accelerator; stock market volatility;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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