IDEAS home Printed from https://ideas.repec.org/a/oup/rfinst/v33y2020i11p5212-5247..html
   My bibliography  Save this article

Speculators and Middlemen: The Strategy and Performance of Investors in the Housing Market

Author

Listed:
  • Patrick Bayer
  • Christopher Geissler
  • Kyle Mangum
  • James W Roberts
  • Andrew Karolyi

Abstract

Using data from the Los Angeles area from 1988 to 2012, we study the behavior and sources of returns of individual investors in the housing market. We document the existence of two distinct investor types. The first act as middlemen, purchasing substantially below and reselling above market prices throughout the cycle, improving liquidity and the existing capital stock in the process. The second act as speculators, who primarily enter during the boom, buying and selling at essentially market prices. Neither type anticipated the housing bust. We document similar behavior by speculators and middlemen in 96 other U.S. metro areas.

Suggested Citation

  • Patrick Bayer & Christopher Geissler & Kyle Mangum & James W Roberts & Andrew Karolyi, 2020. "Speculators and Middlemen: The Strategy and Performance of Investors in the Housing Market," The Review of Financial Studies, Society for Financial Studies, vol. 33(11), pages 5212-5247.
    • Handle: RePEc:oup:rfinst:v:33:y:2020:i:11:p:5212-5247.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/rfs/hhaa042
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    Other versions of this item:

    References listed on IDEAS

    as
    1. De Long, J Bradford & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, 1990. "Noise Trader Risk in Financial Markets," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 703-738, August.
    Full references (including those not matched with items on IDEAS)

    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. Christiane Goodfellow & Dirk Schiereck & Steffen Wippler, 2013. "Are behavioural finance equity funds a superior investment? A note on fund performance and market efficiency," Journal of Asset Management, Palgrave Macmillan, vol. 14(2), pages 111-119, April.
    2. Cho, Guedae & Kim, MinKyoung & Koo, Won W., 2003. "Relative Agricultural Price Changes In Different Time Horizons," 2003 Annual meeting, July 27-30, Montreal, Canada 22249, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Paul De Grauwe, 2014. "Animal Spirits and Monetary Policy," World Scientific Book Chapters, in: Exchange Rates and Global Financial Policies, chapter 18, pages 473-520, World Scientific Publishing Co. Pte. Ltd..
    4. Singal, Vijay & Xu, Zhaojin, 2011. "Selling winners, holding losers: Effect on fund flows and survival of disposition-prone mutual funds," Journal of Banking & Finance, Elsevier, vol. 35(10), pages 2704-2718, October.
    5. Tihana Škrinjarić, 2019. "Time Varying Spillovers between the Online Search Volume and Stock Returns: Case of CESEE Markets," IJFS, MDPI, vol. 7(4), pages 1-30, October.
    6. Dash, Saumya Ranjan & Maitra, Debasish, 2018. "Does sentiment matter for stock returns? Evidence from Indian stock market using wavelet approach," Finance Research Letters, Elsevier, vol. 26(C), pages 32-39.
    7. Florian Meier, 2020. "The Age of Cheap Money and Passive Investing: Are Pro Forma Earnings Value Relevant?," Journal of Finance and Investment Analysis, SCIENPRESS Ltd, vol. 9(2), pages 1-1.
    8. Jun Liu, 2004. "Losing Money on Arbitrage: Optimal Dynamic Portfolio Choice in Markets with Arbitrage Opportunities," The Review of Financial Studies, Society for Financial Studies, vol. 17(3), pages 611-641.
    9. Yue Zhao & Difang Wan, 2018. "Institutional high frequency trading and price discovery: Evidence from an emerging commodity futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(2), pages 243-270, February.
    10. Frankel, Jeffrey A & Schmukler, Sergio L, 2000. "Country Funds and Asymmetric Information," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 5(3), pages 177-195, July.
    11. Liu, Hong & Qi, Lina & Li, Zaili, 2019. "Insider trading, representativeness heuristic insider, and market regulation," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 48-64.
    12. Nam, Kiseok & Pyun, Chong Soo & Kim, Sei-Wan, 2003. "Is asymmetric mean-reverting pattern in stock returns systematic? Evidence from Pacific-basin markets in the short-horizon," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 13(5), pages 481-502, December.
    13. Turki Rashed Alshammari & Jean-Noël Ory, 2023. "The Impact of Religious Announcements on Stock Prices and Investment Decisions on the Saudi Stock Exchange," Post-Print hal-04105704, HAL.
    14. Ben-Rephael, Azi & Kandel, Shmuel & Wohl, Avi, 2012. "Measuring investor sentiment with mutual fund flows," Journal of Financial Economics, Elsevier, vol. 104(2), pages 363-382.
    15. Yousaf, Imran & Youssef, Manel & Goodell, John W., 2022. "Quantile connectedness between sentiment and financial markets: Evidence from the S&P 500 twitter sentiment index," International Review of Financial Analysis, Elsevier, vol. 83(C).
    16. Adrian, Tobias, 2009. "Inference, arbitrage, and asset price volatility," Journal of Financial Intermediation, Elsevier, vol. 18(1), pages 49-64, January.
    17. David G. McMillan, 2010. "Present Value Model, Bubbles and Returns Predictability: Sector‐Level Evidence," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 37(5‐6), pages 668-686, June.
    18. Winston Buckley & Garfield Brown & Mario Marshall, 2011. "A Mispricing Model of Stocks Under Asymmetric Information," Papers 1101.1148, arXiv.org.
    19. Shahzad, Syed Jawad Hussain & Raza, Naveed & Balcilar, Mehmet & Ali, Sajid & Shahbaz, Muhammad, 2017. "Can economic policy uncertainty and investors sentiment predict commodities returns and volatility?," Resources Policy, Elsevier, vol. 53(C), pages 208-218.
    20. Anita Todea, 2018. "Culture And Stock Price Reaction To Private Information," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 21, pages 117-130, June.

    More about this item

    JEL classification:

    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General

    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:oup:rfinst:v:33:y:2020:i:11:p:5212-5247.. 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: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/sfsssea.html .

    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.