IDEAS home Printed from https://ideas.repec.org/a/taf/jeduce/v42y2011i1p79-86.html
   My bibliography  Save this article

Understanding Credit Risk: A Classroom Experiment

Author

Listed:
  • Maroš Servátka
  • George Theocharides

Abstract

This classroom experiment introduces students to the notion of credit risk and expected return, by allowing them to trade on comparable corporate bond issues from two types of markets: investment-grade and high-yield markets. Investment-grade issues have a lower probability of default than high-yield issues and thus provide a lower yield. Participants can earn money in three ways: from coupon payments, from the face value of the bond, and by capital gains. While participating in an experiment, students learn about the notion of risk and return, how credit risk affects bond prices, the movement of bond prices through time, and other general characteristics of the bond markets.

Suggested Citation

  • Maroš Servátka & George Theocharides, 2011. "Understanding Credit Risk: A Classroom Experiment," The Journal of Economic Education, Taylor & Francis Journals, vol. 42(1), pages 79-86, January.
    • Handle: RePEc:taf:jeduce:v:42:y:2011:i:1:p:79-86
    DOI: 10.1080/00220485.2011.536492
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00220485.2011.536492
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00220485.2011.536492?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 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. Sheryl B. Ball & Charles A. Holt, 1998. "Classroom Games: Speculation and Bubbles in an Asset Market," Journal of Economic Perspectives, American Economic Association, vol. 12(1), pages 207-218, Winter.
    2. Forsythe, Robert & Palfrey, Thomas R & Plott, Charles R, 1982. "Asset Valuation in an Experimental Market," Econometrica, Econometric Society, vol. 50(3), pages 537-567, May.
    3. Plott, Charles R & Sunder, Shyam, 1988. "Rational Expectations and the Aggregation of Diverse Information in Laboratory Security Markets," Econometrica, Econometric Society, vol. 56(5), pages 1085-1118, September.
    4. Martin Dufwenberg & Tobias Lindqvist & Evan Moore, 2005. "Bubbles and Experience: An Experiment," American Economic Review, American Economic Association, vol. 95(5), pages 1731-1737, December.
    5. Oechssler, Jörg & Schmidt, Carsten & Schnedler, Wendelin, 2007. "Asset bubbles without dividends : an experiment," Papers 07-01, Sonderforschungsbreich 504.
    6. Smith, Vernon L & Suchanek, Gerry L & Williams, Arlington W, 1988. "Bubbles, Crashes, and Endogenous Expectations in Experimental Spot Asset Markets," Econometrica, Econometric Society, vol. 56(5), pages 1119-1151, September.
    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. Alfonso-Costillo, Antonio, 2021. "Taking risks by flying paper airplanes," MPRA Paper 108541, University Library of Munich, Germany.

    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. Keser, Claudia & Markstädter, Andreas, 2014. "Informational asymmetries in laboratory asset markets with state-dependent fundamentals," University of Göttingen Working Papers in Economics 207, University of Goettingen, Department of Economics.
    2. Claudia Keser & Andreas Markstädter, 2014. "Informational Asymmetries in Laboratory Asset Markets with State-Dependent Fundamentals," CIRANO Working Papers 2014s-30, CIRANO.
    3. Keser, Claudia & Markstädter, Andreas, 2014. "Informational asymmetries in laboratory asset markets with state-dependent fundamentals," University of Göttingen Working Papers in Economics 207 [rev.], University of Goettingen, Department of Economics.
    4. Markstädter, Andreas & Keser, Claudia, 2014. "Informational Asymmetries in Laboratory Asset Markets with State Dependent Fundamentals," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100359, Verein für Socialpolitik / German Economic Association.
    5. Nuzzo, Simone & Morone, Andrea, 2017. "Asset markets in the lab: A literature review," Journal of Behavioral and Experimental Finance, Elsevier, vol. 13(C), pages 42-50.
    6. Oechssler, Jörg & Schmidt, Carsten & Schnedler, Wendelin, 2007. "Asset bubbles without dividends : an experiment," Papers 07-01, Sonderforschungsbreich 504.
    7. Corgnet, Brice & Kujal, Praveen & Porter, David, 2010. "The effect of reliability, content and timing of public announcements on asset trading behavior," Journal of Economic Behavior & Organization, Elsevier, vol. 76(2), pages 254-266, November.
    8. Oechssler, Jörg & Schmidt, Carsten & Schnedler, Wendelin, 2009. "Asset Bubbles without Dividends - An Experiment," Working Papers 0439, University of Heidelberg, Department of Economics.
    9. Marquardt, Philipp & Noussair, Charles N & Weber, Martin, 2019. "Rational expectations in an experimental asset market with shocks to market trends," European Economic Review, Elsevier, vol. 114(C), pages 116-140.
    10. Halim, Edward & Riyanto, Yohanes Eko & Roy, Nilanjan, 2016. "Price Dynamics and Consumption Smoothing in Experimental Asset Markets," MPRA Paper 71631, University Library of Munich, Germany.
    11. Lata Gangadharan & Charles N. Noussair & Marie-Claire Villeval, 2019. "Introduction to the special issue in honor of Professor Charles R. Plott," Experimental Economics, Springer;Economic Science Association, vol. 22(3), pages 577-584, September.
    12. Palan, Stefan, 2010. "Digital options and efficiency in experimental asset markets," Journal of Economic Behavior & Organization, Elsevier, vol. 75(3), pages 506-522, September.
    13. Lunawat, Radhika, 2021. "Learning from trading activity in laboratory security markets with higher-order uncertainty," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 90(C).
    14. Edward Halim & Yohanes E. Riyanto & Nilanjan Roy, 2019. "Costly Information Acquisition, Social Networks, and Asset Prices: Experimental Evidence," Journal of Finance, American Finance Association, vol. 74(4), pages 1975-2010, August.
    15. Marina Fiedler, 2011. "Experience and Confidence in an Internet‐Based Asset Market Experiment," Southern Economic Journal, John Wiley & Sons, vol. 78(1), pages 30-52, July.
    16. Anthony Newell & Lionel Page, 2017. "Countercyclical risk aversion and self-reinforcing feedback loops in experimental asset markets," QuBE Working Papers 050, QUT Business School.
    17. Giovanni Giusti & Janet Hua Jiang & Yiping Xu, 2014. "Interest on Cash, Fundamental Value Process and Bubble Formation on Experimental Asset Markets," Staff Working Papers 14-18, Bank of Canada.
    18. Coppock, Lee A. & Harper, Daniel Q. & Holt, Charles A., 2021. "Capital constraints and asset bubbles: An experimental study," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 75-88.
    19. Andreas Park, 2010. "Experiential Learning of the Efficient Market Hypothesis: Two Trading Games," The Journal of Economic Education, Taylor & Francis Journals, vol. 41(4), pages 353-369, September.
    20. Martin Barner & Francesco Feri & Charles R. Plott, 2005. "On the microstructure of price determination and information aggregation with sequential and asymmetric information arrival in an experimental asset market," Annals of Finance, Springer, vol. 1(1), pages 73-107, January.

    More about this item

    JEL classification:

    • A20 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - General
    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations

    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:jeduce:v:42:y:2011:i:1:p:79-86. 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/VECE20 .

    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.