IDEAS home Printed from https://ideas.repec.org/a/wly/mgtdec/v22y2001i7p389-398.html
   My bibliography  Save this article

The probability and timing of price reversals in the property market

Author

Listed:
  • Graham Partington

    (University of Technology Sydney, Lindfield, NSW, Australia)

  • Max Stevenson

    (University of Technology Sydney, Lindfield, NSW, Australia)

Abstract

In this paper, we develop models for estimating the time varying probability that there will be a price reversal in the property market. Knowledge of such price reversals may be helpful in forming property trading strategies, and providing confirming evidence of turning points in property cycles. Using an index from the UK property market, we obtain the time varying probabilities by estimating state transition rates. State transition rates are estimated for cases where the up-state (a run of positive price changes) switches to the down-state (price falls) and vice versa. We also estimate a model for absolute transitions, where we take no account of the direction of the state transition. The predictive power of our models is assessed using data from a holdout period. We find that the absolute transition model performs worse than separate state transition models for the up-state and the down-state. For these latter models, the more rapid the decline in the forecast probability of a run continuing beyond a certain time, the less likely it is that the run will actually continue. Further, the probability profiles provide a perfect rank ordering of the length of runs in the holdout period. This suggests that the probabilities could be used to predict whether a sequence of price rises or falls will be long- or short-lived. Copyright © 2001 John Wiley & Sons, Ltd.

Suggested Citation

  • Graham Partington & Max Stevenson, 2001. "The probability and timing of price reversals in the property market," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 22(7), pages 389-398.
    • Handle: RePEc:wly:mgtdec:v:22:y:2001:i:7:p:389-398
    DOI: 10.1002/mde.1028
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1002/mde.1028
    File Function: Link to full text; subscription required
    Download Restriction: no
    File URL: https://libkey.io/10.1002/mde.1028?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
    ---><---

    References listed on IDEAS

    as
    1. Colin Lizieri & Stephen Satchell, 1997. "Property company performance and real interest rates: a regime-switching approach," Journal of Property Research, Taylor & Francis Journals, vol. 14(2), pages 85-97, January.
    2. R Barras & D Ferguson, 1985. "A Spectral Analysis of Building Cycles in Britain," Environment and Planning A, , vol. 17(10), pages 1369-1391, October.
    3. Grenadier, Steven R, 1995. "The Persistence of Real Estate Cycles," The Journal of Real Estate Finance and Economics, Springer, vol. 10(2), pages 95-119, March.
    4. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    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. Juan Yao & Graham Partington & Max Stevenson, 2005. "Run length and the predictability of stock price reversals," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 45(4), pages 653-671, December.
    2. Juan Yao & Graham Partington & Max Stevenson, 2013. "Predicting the directional change in consumer sentiment," Australian Journal of Management, Australian School of Business, vol. 38(1), pages 67-80, April.
    3. Huong Dang & Graham Partington, 2014. "Rating Migrations: The Effect of History and Time," Abacus, Accounting Foundation, University of Sydney, vol. 50(2), pages 174-202, June.

    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. Patrick Krieger & Carsten Lausberg & Kristin Wellner, 2018. "Einblicke in die Gründe für nicht-normalverteilte Immobilienrenditen: eine explorative Untersuchung deutscher Wohnimmobilienportfolios [Insights into the reasons for non-normal real estate returns:," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 4(1), pages 49-79, November.
    2. Norman Hutchison & Patricia Fraser & Alastair Adair & Rahul Srivatsa, 2012. "Regime shifts in ex post UK commercial property risk premiums," Journal of Property Research, Taylor & Francis Journals, vol. 29(3), pages 247-269, April.
    3. Weis Christian & René-Ojas Woltering & Steffen Sebastian, 2017. "The Interest Rate Sensitivity of Value and Growth Stocks - Evidence from Listed Real Estate," ERES eres2017_325, European Real Estate Society (ERES).
    4. David M. Ritzwoller & Joseph P. Romano, 2019. "Uncertainty in the Hot Hand Fallacy: Detecting Streaky Alternatives to Random Bernoulli Sequences," Papers 1908.01406, arXiv.org, revised Apr 2021.
    5. Shazia Ghani, 2011. "A re-visit to Minsky after 2007 financial meltdown," Post-Print halshs-01027435, HAL.
    6. Steininger, Lea & Hesse, Casimir, 2024. "Buying into new ideas: The ECB’s evolving justification of unlimited liquidity," Department of Economics Working Paper Series 357, WU Vienna University of Economics and Business.
    7. 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.
    8. Cagli, Efe Caglar & Taskin, Dilvin & Evrim Mandaci, Pınar, 2019. "The short- and long-run efficiency of energy, precious metals, and base metals markets: Evidence from the exponential smooth transition autoregressive models," Energy Economics, Elsevier, vol. 84(C).
    9. Andrew Weinbach & Rodney J. Paul, 2009. "National television coverage and the behavioural bias of bettors: the American college football totals market," International Gambling Studies, Taylor & Francis Journals, vol. 9(1), pages 55-66, April.
    10. Plantinga, Andrew J. & Provencher, Bill, 2001. "Internal Consistency In Models Of Optimal Resource Use Under Uncertainty," 2001 Annual meeting, August 5-8, Chicago, IL 20712, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    11. Growitsch Christian & Nepal Rabindra & Stronzik Marcus, 2015. "Price Convergence and Information Efficiency in German Natural Gas Markets," German Economic Review, De Gruyter, vol. 16(1), pages 87-103, February.
    12. Oxelheim, Lars & Rafferty, Michael, 2005. "On the static efficiency of secondary bond markets," Journal of Multinational Financial Management, Elsevier, vol. 15(2), pages 117-135, April.
    13. Baoqiang Zhan & Shu Zhang & Helen S. Du & Xiaoguang Yang, 2022. "Exploring Statistical Arbitrage Opportunities Using Machine Learning Strategy," Computational Economics, Springer;Society for Computational Economics, vol. 60(3), pages 861-882, October.
    14. Shi, Huai-Long & Zhou, Wei-Xing, 2022. "Factor volatility spillover and its implications on factor premia," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    15. Gaio, Luiz Eduardo & Stefanelli, Nelson Oliveira & Pimenta, Tabajara & Bonacim, Carlos Alberto Grespan & Gatsios, Rafael Confetti, 2022. "The impact of the Russia-Ukraine conflict on market efficiency: Evidence for the developed stock market," Finance Research Letters, Elsevier, vol. 50(C).
    16. Anastasios Evgenidis & Stephanos Papadamou, 2021. "The impact of unconventional monetary policy in the euro area. Structural and scenario analysis from a Bayesian VAR," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5684-5703, October.
    17. Nuruddeen Usman & Kodili Nwanneka & Nduka, 2023. "Announcement Effect of COVID-19 on Cryptocurrencies," Asian Economics Letters, Asia-Pacific Applied Economics Association, vol. 3(3), pages 1-4.
    18. 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.
    19. Carol Alexander & Anca Dimitriu, 2003. "Equity Indexing: Conitegration and Stock Price Dispersion: A Regime Switiching Approach to market Efficiency," ICMA Centre Discussion Papers in Finance icma-dp2003-02, Henley Business School, University of Reading.
    20. Robert C. Merton, 2006. "Paul Samuelson and Financial Economics," The American Economist, Sage Publications, vol. 50(2), pages 9-31, October.

    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:wly:mgtdec:v:22:y:2001:i:7:p:389-398. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/cgi-bin/jhome/7976 .

    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.