IDEAS home Printed from https://ideas.repec.org/p/fip/fedgif/1236.html
   My bibliography  Save this paper

Asset Price Learning and Optimal Monetary Policy

Author

Listed:
  • Colin Caines
  • Fabian Winkler

Abstract

We characterize optimal monetary policy when agents are learning about endogenous asset prices. Boundedly rational expectations induce inefficient equilibrium asset price fluctuations which translate into inefficient aggregate demand fluctuations. We find that the optimal policy raises interest rates when expected capital gains, and the level of current asset prices, is high. The optimal policy does not eliminate deviations of asset prices from their fundamental value. When monetary policymakers are information-constrained, optimal policy can be reasonably approximated by simple interest rate rules that respond to capital gains. Our results are robust to a wide range of belief specifications as well as to the inclusion of an investment channel.

Suggested Citation

  • Colin Caines & Fabian Winkler, 2018. "Asset Price Learning and Optimal Monetary Policy," International Finance Discussion Papers 1236, Board of Governors of the Federal Reserve System (U.S.).
  • Handle: RePEc:fip:fedgif:1236
    DOI: 10.17016/IFDP.2018.1236
    as

    Download full text from publisher

    File URL: https://www.federalreserve.gov/econres/ifdp/files/ifdp1236.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Klaus Adam & Pei Kuang & Albert Marcet, 2012. "House Price Booms and the Current Account," NBER Macroeconomics Annual, University of Chicago Press, vol. 26(1), pages 77-122.
    2. Molnár, Krisztina & Santoro, Sergio, 2014. "Optimal monetary policy when agents are learning," European Economic Review, Elsevier, vol. 66(C), pages 39-62.
    3. Pierre Collin-Dufresne & Michael Johannes & Lars A. Lochstoer, 2013. "Parameter Learning in General Equilibrium: The Asset Pricing Implications," NBER Working Papers 19705, National Bureau of Economic Research, Inc.
    4. 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.
    5. Molnár, Krisztina & Santoro, Sergio, 2014. "Optimal monetary policy when agents are learning," European Economic Review, Elsevier, vol. 66(C), pages 39-62.
    6. Klaus Adam & Albert Marcet & Juan Pablo Nicolini, 2016. "Stock Market Volatility and Learning," Journal of Finance, American Finance Association, vol. 71(1), pages 33-82, February.
    7. Laubach, Thomas & Williams, John C., 2015. "Measuring the natural rate of interest redux," Working Paper Series 2015-16, Federal Reserve Bank of San Francisco.
    8. Klaus Adam & Albert Marcet & Johannes Beutel, 2017. "Stock Price Booms and Expected Capital Gains," American Economic Review, American Economic Association, vol. 107(8), pages 2352-2408, August.
    9. Albert Saiz, 2010. "The Geographic Determinants of Housing Supply," The Quarterly Journal of Economics, Oxford University Press, vol. 125(3), pages 1253-1296.
    10. Holston, Kathryn & Laubach, Thomas & Williams, John C., 2017. "Measuring the natural rate of interest: International trends and determinants," Journal of International Economics, Elsevier, vol. 108(S1), pages 59-75.
    11. Barberis, Nicholas & Greenwood, Robin & Jin, Lawrence & Shleifer, Andrei, 2015. "X-CAPM: An extrapolative capital asset pricing model," Journal of Financial Economics, Elsevier, vol. 115(1), pages 1-24.
    12. Gabaix, Xavier, 2016. "A Behavioral New Keynesian Model," CEPR Discussion Papers 11729, C.E.P.R. Discussion Papers.
    13. 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.
    14. Preston, Bruce, 2006. "Adaptive learning, forecast-based instrument rules and monetary policy," Journal of Monetary Economics, Elsevier, vol. 53(3), pages 507-535, April.
    15. Klaus Adam & Michael Woodford, 2018. "Leaning Against Housing Prices as Robustly Optimal Monetary Policy," CESifo Working Paper Series 7071, CESifo Group Munich.
    16. Neiss, Katharine S. & Nelson, Edward, 2003. "The Real-Interest-Rate Gap As An Inflation Indicator," Macroeconomic Dynamics, Cambridge University Press, vol. 7(2), pages 239-262, April.
    17. 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.).
    18. 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.
    19. Billi, Roberto M., 2018. "Price level targeting and risk management," Economic Modelling, Elsevier, vol. 73(C), pages 163-173.
    20. Pengfei Wang & Jianjun Miao & Feng Dong, 2017. "Asset Bubbles and Monetary Policy," 2017 Meeting Papers 205, Society for Economic Dynamics.
    21. Jordi Gal?, 2014. "Monetary Policy and Rational Asset Price Bubbles," American Economic Review, American Economic Association, vol. 104(3), pages 721-752, March.
    22. Robin Greenwood & Andrei Shleifer, 2014. "Expectations of Returns and Expected Returns," Review of Financial Studies, Society for Financial Studies, vol. 27(3), pages 714-746.
    23. Harding, John P. & Rosenthal, Stuart S. & Sirmans, C.F., 2007. "Depreciation of housing capital, maintenance, and house price inflation: Estimates from a repeat sales model," Journal of Urban Economics, Elsevier, vol. 61(2), pages 193-217, March.
    24. repec:eee:jfinec:v:126:y:2017:i:1:p:147-170 is not listed on IDEAS
    25. Charles R. Bean, 2004. "Asset Prices, Financial Instability, and Monetary Policy," American Economic Review, American Economic Association, vol. 94(2), pages 14-18, May.
    26. Christoph E. Boehm & Christopher L. House, 2014. "Optimal Taylor Rules in New Keynesian Models," NBER Working Papers 20237, National Bureau of Economic Research, Inc.
    27. Dupor, Bill, 2005. "Stabilizing non-fundamental asset price movements under discretion and limited information," Journal of Monetary Economics, Elsevier, vol. 52(4), pages 727-747, May.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Optimal monetary policy ; Natural real Interest rate ; Learning ; Asset price volatility ; Leaning against the wind;

    JEL classification:

    • 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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:fip:fedgif:1236. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Ryan Wolfslayer) or (Keisha Fournillier). General contact details of provider: http://edirc.repec.org/data/frbgvus.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.