IDEAS home Printed from https://ideas.repec.org/p/pre/wpaper/201921.html

Economic Policy Uncertainty and Herding Behavior: Evidence from the South African Housing Market

Author

Listed:
  • Esin Cakan

    (Department of Economics, University of New Haven, CT 06516, USA)

  • Riza Demirer

    (Department of Economics & Finance, Southern Illinois University Edwardsville, Edwardsville, IL 62026-1102, USA)

  • Rangan Gupta

    (Department of Economics, University of Pretoria, Pretoria, South Africa)

  • Josine Uwilingiye

    (Department of Economics and Econometrics, University of Johannesburg, Auckland Park, 2006, South Africa)

Abstract

This paper examines the link between economic policy uncertainty and herding behaviour in financial markets with an application to the South African housing market. Building on the evidence in the literature that herding behaviour driven by human emotions is not only limited to financial markets, but is also present in real estate investments, we examine the presence of herding in this emerging market via static and dynamic herding tests. While the static model fails to detect herding in the South African housing market, a dynamic model based on a two-regime Markov switching specification shows evidence of herding during the high volatility regime only, consistent with the notion that herd behaviour is primarily driven by increased market uncertainty. Extending our analysis via quantile regressions, we further show that higher quantiles of policy uncertainty are associated with greater likelihood of being in the herding regime, thus establishing a link between policy uncertainty and herding behaviour. Overall, our findings suggest that policy uncertainty can serve as a driver of market inefficiencies, which in our case, is associated by the presence of herding.

Suggested Citation

  • Esin Cakan & Riza Demirer & Rangan Gupta & Josine Uwilingiye, 2019. "Economic Policy Uncertainty and Herding Behavior: Evidence from the South African Housing Market," Working Papers 201921, University of Pretoria, Department of Economics.
  • Handle: RePEc:pre:wpaper:201921
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    Other versions of this item:

    Citations

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


    Cited by:

    1. Imed Medhioub, 2025. "Impact of Geopolitical Risks on Herding Behavior in Some MENA Stock Markets," JRFM, MDPI, vol. 18(2), pages 1-14, February.
    2. 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.
    3. Geoffrey M. Ngene & Rangan Gupta, 2021. "Impact of Housing Policy Uncertainty on Herding Behavior: Evidence from UK's Regional Housing Markets," Working Papers 202115, University of Pretoria, Department of Economics.
    4. Sibande, Xolani, 2024. "Herding behaviour and monetary policy: Evidence from the ZAR market," Journal of Behavioral and Experimental Finance, Elsevier, vol. 42(C).
    5. Xolani Sibande, 2023. "Monetary policy and herding behaviour in the ZAR market," Working Papers 11053, South African Reserve Bank.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    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:pre:wpaper:201921. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Rangan Gupta (email available below). General contact details of provider: https://edirc.repec.org/data/decupza.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.