IDEAS home Printed from https://ideas.repec.org/p/cpr/ceprdp/10148.html
   My bibliography  Save this paper

Collateralisation bubbles when investors disagree about risk

Author

Listed:
  • Broer, Tobias
  • Kero, Afroditi

Abstract

Survey respondents strongly disagree about return risks and, increasingly, macroeconomic uncertainty. This may have contributed to higher asset prices through increased use of collateralisation, which allows risk-neutral investors to realise perceived gains from trade. Investors with lower risk perceptions buy collateralised loans, whose downside-risk they perceive as small. Investors with higher risk perceptions buy upside-risk through asset purchase and collateralised loan issuance, raising prices. More complex collateralised contracts, like CDOs, can increase prices further. In contrast, with disagreement about mean payoffs, price bubbles arise without collateralisation, which may discipline prices as pessimists demand higher returns on risky loans.

Suggested Citation

  • Broer, Tobias & Kero, Afroditi, 2014. "Collateralisation bubbles when investors disagree about risk," CEPR Discussion Papers 10148, C.E.P.R. Discussion Papers.
    • Handle: RePEc:cpr:ceprdp:10148
    as

    Download full text from publisher

    File URL: https://cepr.org/publications/DP10148
    Download Restriction: CEPR Discussion Papers are free to download for our researchers, subscribers and members. If you fall into one of these categories but have trouble downloading our papers, please contact us at subscribers@cepr.org
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Giordani, Paolo & Soderlind, Paul, 2003. "Inflation forecast uncertainty," European Economic Review, Elsevier, vol. 47(6), pages 1037-1059, December.
    2. Ana Fostel & John Geanakoplos, 2012. "Tranching, CDS, and Asset Prices: How Financial Innovation Can Cause Bubbles and Crashes," American Economic Journal: Macroeconomics, American Economic Association, vol. 4(1), pages 190-225, January.
    3. Margaret M. McConnell & Gabriel Perez-Quiros, 2000. "Output fluctuations in the United States: what has changed since the early 1980s?," Proceedings, Federal Reserve Bank of San Francisco, issue Mar.
    4. Morten O. Ravn & Harald Uhlig, 2002. "On adjusting the Hodrick-Prescott filter for the frequency of observations," The Review of Economics and Statistics, MIT Press, vol. 84(2), pages 371-375.
    5. Jarrow, Robert A, 1980. "Heterogeneous Expectations, Restrictions on Short Sales, and Equilibrium Asset Prices," Journal of Finance, American Finance Association, vol. 35(5), pages 1105-1113, December.
    6. Gene Amromin & Steven A. Sharpe, 2009. "Expectations of risk and return among household investors: Are their Sharpe ratios countercyclical?," Proceedings, Federal Reserve Bank of San Francisco, issue Jan.
    7. Miller, Edward M, 1977. "Risk, Uncertainty, and Divergence of Opinion," Journal of Finance, American Finance Association, vol. 32(4), pages 1151-1168, September.
    8. Jose A. Scheinkman & Wei Xiong, 2003. "Overconfidence and Speculative Bubbles," Journal of Political Economy, University of Chicago Press, vol. 111(6), pages 1183-1219, December.
    9. Wei Xiong, 2013. "Bubbles, Crises, and Heterogeneous Beliefs," NBER Working Papers 18905, National Bureau of Economic Research, Inc.
    10. Broer, Tobias & Kero, Afroditi, 2011. "Great Moderation or Great Mistake: Can rising confidence in low macro-risk explain the boom in asset prices?," CEPR Discussion Papers 8700, C.E.P.R. Discussion Papers.
    11. Robin Greenwood & Andrei Shleifer, 2014. "Expectations of Returns and Expected Returns," The Review of Financial Studies, Society for Financial Studies, vol. 27(3), pages 714-746.
    12. Francois Geerolf, 2014. "A Theory of Power Law Distributions for the Returns to Capital and of the Credit Spread Puzzle," 2014 Meeting Papers 1415, Society for Economic Dynamics.
    13. Alp Simsek, 2013. "Belief Disagreements and Collateral Constraints," Econometrica, Econometric Society, vol. 81(1), pages 1-53, January.
    14. Chang-Jin Kim & Charles R. Nelson, 1999. "Has The U.S. Economy Become More Stable? A Bayesian Approach Based On A Markov-Switching Model Of The Business Cycle," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 608-616, November.
    15. Timothy Cogley & Thomas J. Sargent, 2008. "Anticipated Utility And Rational Expectations As Approximations Of Bayesian Decision Making," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 49(1), pages 185-221, February.
    16. J. Michael Harrison & David M. Kreps, 1978. "Speculative Investor Behavior in a Stock Market with Heterogeneous Expectations," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 92(2), pages 323-336.
    17. John Geanakoplos, 2001. "Liquidity, Default and Crashes: Endogenous Contracts in General Equilibrium," Cowles Foundation Discussion Papers 1316, Cowles Foundation for Research in Economics, Yale University.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Broer, Tobias & Kero, Afroditi, 2021. "Collateralization and asset price bubbles when investors disagree about risk," Journal of Banking & Finance, Elsevier, vol. 128(C).
    2. Broer, Tobias, 2018. "Securitization bubbles: Structured finance with disagreement about default risk," Journal of Financial Economics, Elsevier, vol. 127(3), pages 505-518.
    3. Broer, Tobias, 2016. "Securitisation Bubbles: Structured finance with disagreement about default correlations," CEPR Discussion Papers 11145, C.E.P.R. Discussion Papers.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. ÅžimÅŸek, Alp, 2021. "The Macroeconomics of Financial Speculation," CEPR Discussion Papers 15733, C.E.P.R. Discussion Papers.
    2. Jarrow, Robert & Lamichhane, Sujan, 2022. "Risk premia, asset price bubbles, and monetary policy," Journal of Financial Stability, Elsevier, vol. 60(C).
    3. Broer, Tobias & Kero, Afroditi, 2021. "Collateralization and asset price bubbles when investors disagree about risk," Journal of Banking & Finance, Elsevier, vol. 128(C).
    4. Barberis, Nicholas & Greenwood, Robin & Jin, Lawrence & Shleifer, Andrei, 2018. "Extrapolation and bubbles," Journal of Financial Economics, Elsevier, vol. 129(2), pages 203-227.
    5. Julien Pénasse & Luc Renneboog, 2022. "Speculative Trading and Bubbles: Evidence from the Art Market," Management Science, INFORMS, vol. 68(7), pages 4939-4963, July.
    6. Michael Bailey & Ruiqing Cao & Theresa Kuchler & Johannes Stroebel, 2016. "Social Networks and Housing Markets," NBER Working Papers 22258, National Bureau of Economic Research, Inc.
    7. Eduardo Dávila, 2023. "Optimal Financial Transaction Taxes," Journal of Finance, American Finance Association, vol. 78(1), pages 5-61, February.
    8. Felipe S. Iachan & Plamen T. Nenov & Alp Simsek, 2021. "The Choice Channel of Financial Innovation," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(2), pages 333-372, April.
    9. Saki Bigio & Eduardo Zilberman, 2020. "Speculation-Driven Business Cycles," Working Papers Central Bank of Chile 865, Central Bank of Chile.
    10. Penasse, J.N.G. & Renneboog, L.D.R., 2014. "Bubbles and Trading Frenzies : Evidence from the Art Market," Other publications TiSEM bf0d8984-df7f-4f02-afc7-3, Tilburg University, School of Economics and Management.
    11. Ricardo J. Caballero & Alp Simsek, 2019. "Prudential Monetary Policy," NBER Working Papers 25977, National Bureau of Economic Research, Inc.
    12. Li Lin & Didier Sornette, 2009. "Diagnostics of Rational Expectation Financial Bubbles with Stochastic Mean-Reverting Termination Times," Papers 0911.1921, arXiv.org.
    13. Brunnermeier, Markus K. & Oehmke, Martin, 2013. "Bubbles, Financial Crises, and Systemic Risk," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1221-1288, Elsevier.
    14. Ricardo J Caballero & Alp Simsek, 2020. "A Risk-Centric Model of Demand Recessions and Speculation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(3), pages 1493-1566.
    15. Schaal, Edouard & Taschereau-Dumouchel, Mathieu, 2023. "Herding through booms and busts," Journal of Economic Theory, Elsevier, vol. 210(C).
    16. Utz Weitzel & Christoph Huber & Jürgen Huber & Michael Kirchler & Florian Lindner & Julia Rose & Lauren Cohen, 2020. "Bubbles and Financial Professionals," The Review of Financial Studies, Society for Financial Studies, vol. 33(6), pages 2659-2696.
    17. Harrison Hong & David A. Sraer, 2016. "Speculative Betas," Journal of Finance, American Finance Association, vol. 71(5), pages 2095-2144, October.
    18. Angeletos, G.-M. & Lian, C., 2016. "Incomplete Information in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 1065-1240, Elsevier.
    19. Yen‐Cheng Chang & Pei‐Jie Hsiao & Alexander Ljungqvist & Kevin Tseng, 2022. "Testing Disagreement Models," Journal of Finance, American Finance Association, vol. 77(4), pages 2239-2285, August.
    20. Daniel Andrei & Bruce I. Carlin, 2017. "Asset Pricing in the Quest for the New El Dorado," NBER Working Papers 23455, National Bureau of Economic Research, Inc.

    More about this item

    Keywords

    Asset prices; Bubbles; Disagreement; Heterogeneous beliefs; Volatility;
    All these keywords.

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • 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
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    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:cpr:ceprdp:10148. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://www.cepr.org .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.