IDEAS home Printed from https://ideas.repec.org/a/mnb/finrev/v17y2018i1p110-136.html
   My bibliography  Save this article

Behavioural Factors in the Hungarian Retail Government Bond Market

Author

Listed:
  • Gábor Kutasi

    (Corvinus University of Budapest)

  • László György

    (Századvég Gazdaságkutató Zrt.)

  • Krisztina Szabó

    (Corvinus University of Budapest)

Abstract

It has long been known that the decision-making of money market participants deviates from the pattern outlined by textbook models. This study attempts to explore the real processes taking the approach of behavioural finance, and analyses the hypothetical investment decisions of Hungarian retail government bond investors based on the literature of behavioural finance theses. The analysis relies on the results of a representative opinion poll using behavioural finance theory on the government bond market as a basis. The survey covers the political, emotional and literacy factors underlying the decisions. It examines the herding effect, the influence of demographic factors, and as a new approach, it outlines the profile of Hungarian retail investors. One other novel result of the survey is that it confirms a number of commonly known assumptions about the behaviour of retail investors through collecting data, while reviewing and synthesising behavioural finance literature specifically relevant to the government bond market.

Suggested Citation

  • Gábor Kutasi & László György & Krisztina Szabó, 2018. "Behavioural Factors in the Hungarian Retail Government Bond Market," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 17(1), pages 110-136.
  • Handle: RePEc:mnb:finrev:v:17:y:2018:i:1:p:110-136
    as

    Download full text from publisher

    File URL: http://english.hitelintezetiszemle.hu/letoltes/fer-17-1-st5-kutasi-gyorgy-szabo.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pantzalis, Christos & Stangeland, David A. & Turtle, Harry J., 2000. "Political elections and the resolution of uncertainty: The international evidence," Journal of Banking & Finance, Elsevier, vol. 24(10), pages 1575-1604, October.
    2. Moser, Christoph, 2007. "The Impact of Political Risk on Sovereign Bond Spreads - Evidence from Latin America," Proceedings of the German Development Economics Conference, Göttingen 2007 24, Verein für Socialpolitik, Research Committee Development Economics.
    3. Šević, Aleksandar & Brawn, Derek, 2015. "Do demographic changes matter? A cross-country perspective," Journal of Multinational Financial Management, Elsevier, vol. 30(C), pages 36-61.
    4. Luigi Guiso & Paola Sapienza & Luigi Zingales, 2009. "Cultural Biases in Economic Exchange?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(3), pages 1095-1131.
    5. Joshua D. Coval & Tobias J. Moskowitz, 1999. "Home Bias at Home: Local Equity Preference in Domestic Portfolios," Journal of Finance, American Finance Association, vol. 54(6), pages 2045-2073, December.
    6. Neal, Robert & Wheatley, Simon M., 1998. "Do Measures of Investor Sentiment Predict Returns?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 33(4), pages 523-547, December.
    7. Mark Grinblatt & Matti Keloharju, 2001. "How Distance, Language, and Culture Influence Stockholdings and Trades," Journal of Finance, American Finance Association, vol. 56(3), pages 1053-1073, June.
    8. Ferreira, Miguel A. & Matos, Pedro, 2008. "The colors of investors' money: The role of institutional investors around the world," Journal of Financial Economics, Elsevier, vol. 88(3), pages 499-533, June.
    9. Merton, Robert C., 1972. "An Analytic Derivation of the Efficient Portfolio Frontier," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 7(4), pages 1851-1872, September.
    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. Fedenia, Mark & Shafer, Sherrill & Skiba, Hilla, 2013. "Information immobility, industry concentration, and institutional investors’ performance," Journal of Banking & Finance, Elsevier, vol. 37(6), pages 2140-2159.
    2. Anderson, Christopher W. & Fedenia, Mark & Hirschey, Mark & Skiba, Hilla, 2011. "Cultural influences on home bias and international diversification by institutional investors," Journal of Banking & Finance, Elsevier, vol. 35(4), pages 916-934, April.
    3. repec:zbw:bofrdp:2019_003 is not listed on IDEAS
    4. Chan, Kalok & Covrig, Vicentiu, 2012. "What determines mutual fund trading in foreign stocks?," Journal of International Money and Finance, Elsevier, vol. 31(4), pages 793-817.
    5. Mishra, Anil V., 2016. "Foreign bias in Australian-domiciled mutual fund holdings," Pacific-Basin Finance Journal, Elsevier, vol. 39(C), pages 101-123.
    6. Vesa Pursiainen, 2022. "Cultural Biases in Equity Analysis," Journal of Finance, American Finance Association, vol. 77(1), pages 163-211, February.
    7. Pevzner, Mikhail & Xie, Fei & Xin, Xiangang, 2015. "When firms talk, do investors listen? The role of trust in stock market reactions to corporate earnings announcements," Journal of Financial Economics, Elsevier, vol. 117(1), pages 190-223.
    8. Mariassunta Giannetti & Yishay Yafeh, 2012. "Do Cultural Differences Between Contracting Parties Matter? Evidence from Syndicated Bank Loans," Management Science, INFORMS, vol. 58(2), pages 365-383, February.
    9. Daniel, Kent & Hirshleifer, David & Teoh, Siew Hong, 2002. "Investor psychology in capital markets: evidence and policy implications," Journal of Monetary Economics, Elsevier, vol. 49(1), pages 139-209, January.
    10. Christina Guenther & Sofia Johan & Denis Schweizer, 2018. "Is the crowd sensitive to distance?—how investment decisions differ by investor type," Small Business Economics, Springer, vol. 50(2), pages 289-305, February.
    11. Sanggyu Kang & Chune Young Chung & Amirhossein Fard, 2024. "Does geographic or market proximity matter? Evidence from institutional investor monitoring on earnings attributes in US cross‐listed stocks," Bulletin of Economic Research, Wiley Blackwell, vol. 76(2), pages 443-469, April.
    12. Anil Mishra, 2011. "Australia’s equity home bias and real exchange rate volatility," Review of Quantitative Finance and Accounting, Springer, vol. 37(2), pages 223-244, August.
    13. Shao, Ran & Wang, Na, 2021. "Trust and local bias of individual investors," Journal of Banking & Finance, Elsevier, vol. 133(C).
    14. Karolyi, G. Andrew & Ng, David T. & Prasad, Eswar S., 2020. "The Coming Wave: Where Do Emerging Market Investors Put Their Money?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 55(4), pages 1369-1414, June.
    15. David Hirshleifer, 2001. "Investor Psychology and Asset Pricing," Journal of Finance, American Finance Association, vol. 56(4), pages 1533-1597, August.
    16. Li, Xuan, 2023. "Home bias in shareholder voting," Discussion Papers 2023/21, Norwegian School of Economics, Department of Business and Management Science.
    17. Mishra, Anil V. & Ratti, Ronald A., 2013. "Home bias and cross border taxation," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 169-193.
    18. Adhikari, Binay Kumar & Agrawal, Anup, 2016. "Religion, gambling attitudes and corporate innovation," Journal of Corporate Finance, Elsevier, vol. 37(C), pages 229-248.
    19. Baltzer, Markus & Stolper, Oscar & Walter, Andreas, 2013. "Is local bias a cross-border phenomenon? Evidence from individual investors’ international asset allocation," Journal of Banking & Finance, Elsevier, vol. 37(8), pages 2823-2835.
    20. Diyarbakirlioglu, Erkin, 2011. "Domestic and foreign country bias in international equity portfolios," Journal of Multinational Financial Management, Elsevier, vol. 21(5), pages 301-329.
    21. Mark Fedenia & Sherrill Shaffer & Hilla Skiba, 2012. "Information immobility, industry concentration, and institutional investors' performance," CAMA Working Papers 2012-24, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

    More about this item

    Keywords

    behavioural finance; government bond; retail investor; non-rational decision-making;
    All these keywords.

    JEL classification:

    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in 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:mnb:finrev:v:17:y:2018:i:1:p:110-136. 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: Morvay Endre (email available below). General contact details of provider: https://edirc.repec.org/data/mnbgvhu.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.