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The Role of Learning for Asset Prices and Business Cycles

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  • Winkler, Fabian

Abstract

I examine the implications of learning-based asset pricing in a model in which firms face credit constraints that depend partly on their market value. Agents learn about stock prices, but have conditionally model-consistent expectations otherwise. The model jointly matches key asset price and business cycle statistics, while the combination of financial frictions and learning produces powerful feedback between asset prices and real activity, adding substantial amplification. The model reproduces many patterns of forecast error predictability in survey data that are inconsistent with rational expectations. A reaction of the monetary policy rule to asset price growth increases welfare under learning.

Suggested Citation

  • Winkler, Fabian, 2016. "The Role of Learning for Asset Prices and Business Cycles," Finance and Economics Discussion Series 2016-019, Board of Governors of the Federal Reserve System (US), revised 01 Mar 2017.
  • Handle: RePEc:fip:fedgfe:2016-19
    DOI: 10.17016/FEDS.2016.019r1
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    References listed on IDEAS

    as
    1. Jianjun Miao & Pengfei Wang & Zhiwei Xu, 2015. "A Bayesian dynamic stochastic general equilibrium model of stock market bubbles and business cycles," Quantitative Economics, Econometric Society, vol. 6(3), pages 599-635, November.
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    3. Andreas Fuster & Benjamin Hebert & David Laibson, 2012. "Natural Expectations, Macroeconomic Dynamics, and Asset Pricing," NBER Macroeconomics Annual, University of Chicago Press, vol. 26(1), pages 1-48.
    4. Patrick Pintus & Jacek Suda, . "Learning Financial Shocks and the Great Recession," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics.
    5. Kobayashi Keiichiro & Nutahara Kengo, 2010. "Nominal Rigidities, News-Driven Business Cycles, and Monetary Policy," The B.E. Journal of Macroeconomics, De Gruyter, vol. 10(1), pages 1-26, September.
    6. Nicola Gennaioli & Yueran Ma & Andrei Shleifer, 2016. "Expectations and Investment," NBER Macroeconomics Annual, University of Chicago Press, vol. 30(1), pages 379-431.
      • Nicola Gennaioli & Yueran Ma & Andrei Shleifer, 2015. "Expectations and Investment," NBER Chapters,in: NBER Macroeconomics Annual 2015, Volume 30, pages 379-431 National Bureau of Economic Research, Inc.
    7. Roberto Pancrazi & Mario Pietrunti, 2014. "Natural Expectations and Home Equity Extraction," Temi di discussione (Economic working papers) 984, Bank of Italy, Economic Research and International Relations Area.
    8. Olivier Coibion & Yuriy Gorodnichenko, 2015. "Information Rigidity and the Expectations Formation Process: A Simple Framework and New Facts," American Economic Review, American Economic Association, vol. 105(8), pages 2644-2678, August.
    9. Andrea Ajello, 2016. "Financial Intermediation, Investment Dynamics, and Business Cycle Fluctuations," American Economic Review, American Economic Association, vol. 106(8), pages 2256-2303, August.
    10. Pierre Collin-Dufresne & Michael Johannes & Lars A. Lochstoer, 2016. "Parameter Learning in General Equilibrium: The Asset Pricing Implications," American Economic Review, American Economic Association, vol. 106(3), pages 664-698, March.
    11. Faia, Ester & Monacelli, Tommaso, 2007. "Optimal interest rate rules, asset prices, and credit frictions," Journal of Economic Dynamics and Control, Elsevier, vol. 31(10), pages 3228-3254, October.
    12. Sergey Slobodyan & Raf Wouters, 2012. "Learning in a Medium-Scale DSGE Model with Expectations Based on Small Forecasting Models," American Economic Journal: Macroeconomics, American Economic Association, vol. 4(2), pages 65-101, April.
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    Citations

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    Cited by:

    1. Colin Caines, 2016. "Can Learning Explain Boom-Bust Cycles In Asset Prices? An Application to the US Housing Boom," International Finance Discussion Papers 1181, Board of Governors of the Federal Reserve System (U.S.).
    2. Andrew Y. Chen & Rebecca Wasyk & Fabian Winkler, 2017. "A Likelihood-Based Comparison of Macro Asset Pricing Models," Finance and Economics Discussion Series 2017-024, Board of Governors of the Federal Reserve System (US).

    More about this item

    Keywords

    Asset Pricing; Credit Constraints; Expectations; Financial Frictions; Learning; Monetary policy; Survey Data; Survey Forecasts;

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • 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
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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