IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v49y2017i9p915-928.html
   My bibliography  Save this article

A stylized model of home buyers’ and bankers’ behaviours during the 2007-2009 US subprime mortgage crisis: a predatory perspective

Author

Listed:
  • Olivier Mesly
  • François-Éric Racicot

Abstract

We examine the behaviour of market agents during the years leading to the 2008 US subprime mortgage crisis using a stylized capital asset pricing model model. In our study, an average investor eager to make money by flipping houses meets a banker who offers him subprime mortgage deals. We refer to recent research that shows the mechanics of the psychological and behavioural components of these two market agents. In particular, much in line with the famous Stanford experiment, it is assumed that investors adopt a predator or a prey position. Our analysis shows that, given a historical tendency towards financial predatory acts on the part of market agents (including buyers), government regulations should be adapted and strengthened to face this dooming reality.

Suggested Citation

  • Olivier Mesly & François-Éric Racicot, 2017. "A stylized model of home buyers’ and bankers’ behaviours during the 2007-2009 US subprime mortgage crisis: a predatory perspective," Applied Economics, Taylor & Francis Journals, vol. 49(9), pages 915-928, February.
    • Handle: RePEc:taf:applec:v:49:y:2017:i:9:p:915-928
    DOI: 10.1080/00036846.2016.1208358
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00036846.2016.1208358
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00036846.2016.1208358?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Markus K. Brunnermeier & Christian Julliard, 2008. "Money Illusion and Housing Frenzies," The Review of Financial Studies, Society for Financial Studies, vol. 21(1), pages 135-180, January.
    2. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    3. De Bondt, Werner F M & Thaler, Richard, 1985. "Does the Stock Market Overreact?," Journal of Finance, American Finance Association, vol. 40(3), pages 793-805, July.
    4. Sharpe, William F, 1991. "Capital Asset Prices with and without Negative Holdings," Journal of Finance, American Finance Association, vol. 46(2), pages 489-509, June.
    5. Shefrin, Hersh & Statman, Meir, 1985. "The Disposition to Sell Winners Too Early and Ride Losers Too Long: Theory and Evidence," Journal of Finance, American Finance Association, vol. 40(3), pages 777-790, July.
    6. De Bondt, Werner P. M., 1993. "Betting on trends: Intuitive forecasts of financial risk and return," International Journal of Forecasting, Elsevier, vol. 9(3), pages 355-371, November.
    7. Olivier Mesly, 2013. "Detecting financial predators ahead of time: a two-group longitudinal study," Applied Financial Economics, Taylor & Francis Journals, vol. 23(16), pages 1325-1336, August.
    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. Peter C. Dawson, 2015. "The capital asset pricing model in economic perspective," Applied Economics, Taylor & Francis Journals, vol. 47(6), pages 569-598, February.
    10. Lam, Kin & Liu, Taisheng & Wong, Wing-Keung, 2010. "A pseudo-Bayesian model in financial decision making with implications to market volatility, under- and overreaction," European Journal of Operational Research, Elsevier, vol. 203(1), pages 166-175, May.
    11. Lux, Thomas, 1995. "Herd Behaviour, Bubbles and Crashes," Economic Journal, Royal Economic Society, vol. 105(431), pages 881-896, July.
    12. Terrance Odean, 1999. "Do Investors Trade Too Much?," American Economic Review, American Economic Association, vol. 89(5), pages 1279-1298, December.
    13. Damir Tokic, 2014. "Legitimate speculation versus excessive speculation," Journal of Asset Management, Palgrave Macmillan, vol. 15(6), pages 378-391, December.
    14. Campello, Murillo & Graham, John R., 2013. "Do stock prices influence corporate decisions? Evidence from the technology bubble," Journal of Financial Economics, Elsevier, vol. 107(1), pages 89-110.
    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. Huck, Nicolas & Mavoori, Hareesh & Mesly, Olivier, 2020. "The rationality of irrationality in times of financial crises," Economic Modelling, Elsevier, vol. 89(C), pages 337-350.
    2. Mesly, Olivier & Chkir, Imed & Racicot, François-Éric, 2019. "Predatory cells and puzzling financial crises: Are toxic products good for the financial markets?," Economic Modelling, Elsevier, vol. 78(C), pages 11-31.

    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. Mesly, Olivier & Chkir, Imed & Racicot, François-Éric, 2019. "Predatory cells and puzzling financial crises: Are toxic products good for the financial markets?," Economic Modelling, Elsevier, vol. 78(C), pages 11-31.
    2. Pereira Reichhardt, Joaquín & Iqbal, Tabassum, 2014. "Investment Decisions: Are we fully-Rational?," MPRA Paper 57686, University Library of Munich, Germany.
    3. Tai-Yuen Hon & Massoud Moslehpour & Kai-Yin Woo, 2021. "Review on Behavioral Finance with Empirical Evidence," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(4), pages 15-41, December.
    4. Kuo-Hwa Chang & Michael Nayat Young, 2019. "Portfolios Optimizations of Behavioral Stocks with Perception Probability Weightings," Annals of Economics and Finance, Society for AEF, vol. 20(2), pages 817-845, November.
    5. Orhan ERDEM & Evren ARIK & Serkan YÜKSEL, 2014. "Trading Puzzle, Puzzling Trade," Iktisat Isletme ve Finans, Bilgesel Yayincilik, vol. 29(345), pages 83-102.
    6. Menkhoff, Lukas & Nikiforow, Marina, 2009. "Professionals' endorsement of behavioral finance: Does it impact their perception of markets and themselves?," Journal of Economic Behavior & Organization, Elsevier, vol. 71(2), pages 318-329, August.
    7. Shi, Leilei & Wang, Binghong & Guo, Xinshuai & Li, Honggang, 2021. "A price dynamic equilibrium model with trading volume weights based on a price-volume probability wave differential equation," International Review of Financial Analysis, Elsevier, vol. 74(C).
    8. Ormos, Mihály & Joó, István, 2014. "Are Hungarian investors reluctant to realize their losses?," Economic Modelling, Elsevier, vol. 40(C), pages 52-58.
    9. Bouteska, Ahmed, 2019. "The effect of investor sentiment on market reactions to financial earnings restatements: Lessons from the United States," Journal of Behavioral and Experimental Finance, Elsevier, vol. 24(C).
    10. Szymon Lis, 2022. "Investor Sentiment in Asset Pricing Models: A Review," Working Papers 2022-14, Faculty of Economic Sciences, University of Warsaw.
    11. Sonntag, Dominik, 2018. "Die Theorie der fairen geometrischen Rendite [The Theory of Fair Geometric Returns]," MPRA Paper 87082, University Library of Munich, Germany.
    12. SATISH KUMAR & Nisha Goyal, 2019. "Exploring Behavioural Biases among Indian Investors: A Qualitative Inquiry," Proceedings of International Academic Conferences 9010790, International Institute of Social and Economic Sciences.
    13. Nikiforow, Marina, 2009. "Does training on behavioral finance influence fund managers' perception and behavior?," Hannover Economic Papers (HEP) dp-419, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    14. Barber, Brad M. & Odean, Terrance, 2013. "The Behavior of Individual Investors," 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 1533-1570, Elsevier.
    15. Kai-Yin Woo & Chulin Mai & Michael McAleer & Wing-Keung Wong, 2020. "Review on Efficiency and Anomalies in Stock Markets," Economies, MDPI, vol. 8(1), pages 1-51, March.
    16. Soleman Alsabban & Omar Alarfaj, 2020. "An Empirical Analysis of Behavioral Finance in the Saudi Stock Market: Evidence of Overconfidence Behavior," International Journal of Economics and Financial Issues, Econjournals, vol. 10(1), pages 73-86.
    17. Henrik Svedsater & Niklas Karlsson & Tommy Garling, 2009. "Momentum trading, disposition effects and prediction of future share prices: an experimental study of multiple reference points in responses to short- and long-run return trends," Applied Financial Economics, Taylor & Francis Journals, vol. 19(8), pages 595-610.
    18. Erkan Kalayci & Ulkem Basdas, 2010. "Does the prospect theory also hold for power traders? Empirical evidence from a Swiss energy company," Review of Financial Economics, John Wiley & Sons, vol. 19(1), pages 38-45, January.
    19. Rieger, Marc O. & Wang, Mei & Phan, Thuy Chung & Gong, Yujing, 2022. "Trend following or reversal: Does culture affect predictions and trading behavior?," Global Finance Journal, Elsevier, vol. 54(C).
    20. Ormos, Mihály & Joó, István, 2011. "Diszpozíciós hatás a magyar tőkepiacon [Disposition effect in the Hungarian capital market]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(9), pages 743-758.

    More about this item

    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:taf:applec:v:49:y:2017:i:9:p:915-928. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    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.