IDEAS home Printed from https://ideas.repec.org/p/fip/fedrwp/11-01.html
   My bibliography  Save this paper

An experimental analysis of contingent capital triggering mechanisms

Author

Listed:
  • Douglas Davis
  • Oleg Korenok
  • Edward Simpson Prescott

Abstract

This paper reports an experiment that evaluates three regimes for triggering the conversion of contingent capital bonds into equity: (a) a ?regulator? regime, where socially motivated regulators make conversion decisions based on observed prices, (b) a ?fixed trigger? regime where a price threshold triggers a mandatory conversion, and (c) a ?prediction market? regime where we supplement the regulator?s information set with the results of a prediction market that elicits traders? perceived likelihood of a conversion. Consistent with theory, we observe informational and allocative inefficiencies as well as numerous errors in conversion decisions in both the regulator and fixed trigger regimes. Contrary to theory, however, we also observe inefficiencies and frequent conversion errors in the prediction market regime. Although the fixed trigger and prediction market regimes are more informationally efficient than the regulator regime, allocative efficiencies remain low and conversion error rates high in all three regimes. ; Earlier title: Market-based corrective actions - an experimental investigation

Suggested Citation

  • Douglas Davis & Oleg Korenok & Edward Simpson Prescott, 2011. "An experimental analysis of contingent capital triggering mechanisms," Working Paper 11-01, Federal Reserve Bank of Richmond.
  • Handle: RePEc:fip:fedrwp:11-01
    as

    Download full text from publisher

    File URL: http://www.richmondfed.org/publications/research/working_papers/2011/wp_11-01R.cfm
    Download Restriction: no

    File URL: https://www.richmondfed.org/-/media/RichmondFedOrg/publications/research/working_papers/2011/pdf/wp11-01R.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Plott, Charles R & Sunder, Shyam, 1982. "Efficiency of Experimental Security Markets with Insider Information: An Application of Rational-Expectations Models," Journal of Political Economy, University of Chicago Press, vol. 90(4), pages 663-698, August.
    2. Berg, Joyce & Forsythe, Robert & Nelson, Forrest & Rietz, Thomas, 2008. "Results from a Dozen Years of Election Futures Markets Research," Handbook of Experimental Economics Results, in: Charles R. Plott & Vernon L. Smith (ed.), Handbook of Experimental Economics Results, edition 1, volume 1, chapter 80, pages 742-751, Elsevier.
    3. Lei, Vivian & Noussair, Charles N & Plott, Charles R, 2001. "Nonspeculative Bubbles in Experimental Asset Markets: Lack of Common Knowledge of Rationality vs. Actual Irrationality," Econometrica, Econometric Society, vol. 69(4), pages 831-859, July.
    4. Herring, Richard J., 2004. "The subordinated debt alternative to Basel II," Journal of Financial Stability, Elsevier, vol. 1(2), pages 137-155, December.
    5. Huber, Jurgen & Kirchler, Michael & Sutter, Matthias, 2008. "Is more information always better: Experimental financial markets with cumulative information," Journal of Economic Behavior & Organization, Elsevier, vol. 65(1), pages 86-104, January.
    6. John Duffy & Eric O'N. Fisher, 2005. "Sunspots in the Laboratory," American Economic Review, American Economic Association, vol. 95(3), pages 510-529, June.
    7. Warner, Jerold B. & Watts, Ross L. & Wruck, Karen H., 1988. "Stock prices and top management changes," Journal of Financial Economics, Elsevier, vol. 20(1-2), pages 461-492, January.
    8. Dirk Jenter & Fadi Kanaan, 2015. "CEO Turnover and Relative Performance Evaluation," Journal of Finance, American Finance Association, vol. 70(5), pages 2155-2184, October.
    9. McKelvey Richard D. & Palfrey Thomas R., 1995. "Quantal Response Equilibria for Normal Form Games," Games and Economic Behavior, Elsevier, vol. 10(1), pages 6-38, July.
    10. Hanson, Robin & Oprea, Ryan & Porter, David, 2006. "Information aggregation and manipulation in an experimental market," Journal of Economic Behavior & Organization, Elsevier, vol. 60(4), pages 449-459, August.
    11. Justin Wolfers & Eric Zitzewitz, 2004. "Prediction Markets," Journal of Economic Perspectives, American Economic Association, vol. 18(2), pages 107-126, Spring.
    12. Roll, Richard, 1984. "Orange Juice and Weather," American Economic Review, American Economic Association, vol. 74(5), pages 861-880, December.
    13. Flannery, Mark J, 1998. "Using Market Information in Prudential Bank Supervision: A Review of the U.S. Empirical Evidence," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 30(3), pages 273-305, August.
    14. Davis, Douglas D. & Williams, Arlington W., 1997. "The effects of nonstationarities on performance in call markets," Journal of Economic Behavior & Organization, Elsevier, vol. 32(1), pages 39-54, January.
    15. Anderson, Lisa R & Holt, Charles A, 1997. "Information Cascades in the Laboratory," American Economic Review, American Economic Association, vol. 87(5), pages 847-862, December.
    16. Philip Bond & Itay Goldstein & Edward Simpson Prescott, 2010. "Market-Based Corrective Actions," The Review of Financial Studies, Society for Financial Studies, vol. 23(2), pages 781-820, February.
    17. RYan Oprea & David Porter & Chris Hibbert & Robin Hanson & Dorina Tila, 2008. "Can Manipulators Mislead Prediction Market Observers?," Working Papers 08-01, Chapman University, Economic Science Institute.
    18. 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.
    19. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
    20. Steven N. Kaplan & Bernadette Minton, 2006. "How has CEO Turnover Changed? Increasingly Performance Sensitive Boards and Increasingly Uneasy CEOs," NBER Working Papers 12465, National Bureau of Economic Research, Inc.
    21. Simon P. Anderson & Jacob K. Goeree & Charles A. Holt, 1998. "Rent Seeking with Bounded Rationality: An Analysis of the All-Pay Auction," Springer Books, in: Roger D. Congleton & Arye L. Hillman & Kai A. Konrad (ed.), 40 Years of Research on Rent Seeking 1, pages 225-250, Springer.
    22. Forsythe, Robert & Lundholm, Russell, 1990. "Information Aggregation in an Experimental Market," Econometrica, Econometric Society, vol. 58(2), pages 309-347, March.
    23. Cason, Timothy N. & Friedman, Daniel, 2008. "A Comparison of Market Institutions," Handbook of Experimental Economics Results, in: Charles R. Plott & Vernon L. Smith (ed.), Handbook of Experimental Economics Results, edition 1, volume 1, chapter 33, pages 264-272, Elsevier.
    24. Kagel, John H. & Levin, Dan, 1986. "The Winner's Curse and Public Information in Common Value Auctions," American Economic Review, American Economic Association, vol. 76(5), pages 894-920, December.
    25. 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.
    26. Huber, Jurgen, 2007. "`J'-shaped returns to timing advantage in access to information - Experimental evidence and a tentative explanation," Journal of Economic Dynamics and Control, Elsevier, vol. 31(8), pages 2536-2572, August.
    27. Douglas D. Evanoff & Larry D. Wall, 2000. "Subordinated debt as bank capital: a proposal for regulatory reform," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 25(Q II), pages 40-53.
    28. Reshmaan N. Hussam & David Porter & Vernon L. Smith, 2008. "Thar She Blows: Can Bubbles Be Rekindled with Experienced Subjects?," American Economic Review, American Economic Association, vol. 98(3), pages 924-937, June.
    29. Gary H. Stern, 2001. "Taking market data seriously," The Region, Federal Reserve Bank of Minneapolis, issue Sep, pages 8-10.
    30. John H. Kagel, 2004. "Double Auction Markets with Stochastic Supply and Demand Schedules: Call Markets and Continuous Auction Trading Mechanisms," Palgrave Macmillan Books, in: Steffen Huck (ed.), Advances in Understanding Strategic Behaviour, chapter 9, pages 181-208, Palgrave Macmillan.
    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. Mark J. Flannery, 2016. "Stabilizing Large Financial Institutions with Contingent Capital Certificates," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 6(02), pages 1-26, June.
    2. Edward Simpson Prescott, 2012. "Contingent capital: the trigger problem," Economic Quarterly, Federal Reserve Bank of Richmond, vol. 98(1Q), pages 33-50.
    3. Murphy, Gareth & Walsh, Mark & Willison, Matthew, 2012. "Financial Stability Paper No 16: Precautionary contingent capital," Bank of England Financial Stability Papers 16, Bank of England.
    4. Berg, Tobias & Kaserer, Christoph, 2015. "Does contingent capital induce excessive risk-taking?," Journal of Financial Intermediation, Elsevier, vol. 24(3), pages 356-385.
    5. repec:fip:fedreq:y:2012:i:1q:p:33-50:n:vol.98no.1 is not listed on IDEAS
    6. Jussi Keppo & Yuan Xuchuan, 2015. "Review of George M. von Furstenberg's Contingent Convertibles — From an Academic Perspective," Global Credit Review (GCR), World Scientific Publishing Co. Pte. Ltd., vol. 5(01), pages 67-76.
    7. Allen, Linda & Tang, Yi, 2016. "What’s the contingency? A proposal for bank contingent capital triggered by systemic risk," Journal of Financial Stability, Elsevier, vol. 26(C), pages 1-14.

    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. Douglas Davis & Oleg Korenok & Edward Simpson Prescott, 2014. "An Experimental Analysis of Contingent Capital with Market‐Price Triggers," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(5), pages 999-1033, August.
    2. Brice Corgnet & Cary Deck & Mark DeSantis & Kyle Hampton & Erik O. Kimbrough, 2023. "When Do Security Markets Aggregate Dispersed Information?," Management Science, INFORMS, vol. 69(6), pages 3697-3729, June.
    3. Kirchler, Michael, 2009. "Underreaction to fundamental information and asymmetry in mispricing between bullish and bearish markets. An experimental study," Journal of Economic Dynamics and Control, Elsevier, vol. 33(2), pages 491-506, February.
    4. 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.
    5. Lawrence Choo & Todd R. Kaplan & Ro’i Zultan, 2019. "Information aggregation in Arrow–Debreu markets: an experiment," Experimental Economics, Springer;Economic Science Association, vol. 22(3), pages 625-652, September.
    6. Michael Kirchler, 2008. "It is hard to beat the Monkeys - On the Value of Asymmetric Fundamental Information in Asset Markets," Working Papers 2008-19, Faculty of Economics and Statistics, Universität Innsbruck.
    7. Corgnet, Brice & Deck, Cary & DeSantis, Mark & Porter, David, 2018. "Information (non)aggregation in markets with costly signal acquisition," Journal of Economic Behavior & Organization, Elsevier, vol. 154(C), pages 286-320.
    8. 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.
    9. Claudia Keser & Andreas Markstädter, 2014. "Informational Asymmetries in Laboratory Asset Markets with State-Dependent Fundamentals," CIRANO Working Papers 2014s-30, CIRANO.
    10. 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.
    11. Kirchler, Michael, 2010. "Partial knowledge is a dangerous thing - On the value of asymmetric fundamental information in asset markets," Journal of Economic Psychology, Elsevier, vol. 31(4), pages 643-658, August.
    12. 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.
    13. Johan Almenberg & Ken Kittlitz & Thomas Pfeiffer, 2009. "An Experiment on Prediction Markets in Science," PLOS ONE, Public Library of Science, vol. 4(12), pages 1-7, December.
    14. Lionel Page & Christoph Siemroth, 2021. "How Much Information Is Incorporated into Financial Asset Prices? Experimental Evidence," Review of Financial Studies, Society for Financial Studies, vol. 34(9), pages 4412-4449.
    15. 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.
    16. 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.
    17. Brice Corgnet & Cary Deck & Mark DeSantis & David Porter, 2022. "Forecasting Skills in Experimental Markets: Illusion or Reality?," Management Science, INFORMS, vol. 68(7), pages 5216-5232, July.
    18. Taylor Jaworski & Erik O. Kimbrough, 2016. "Bubbles, Crashes, And Endogenous Uncertainty In Linked Asset And Product Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 57(1), pages 155-176, February.
    19. Snowberg, Erik & Wolfers, Justin & Zitzewitz, Eric, 2013. "Prediction Markets for Economic Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 657-687, Elsevier.
    20. 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).

    More about this item

    Keywords

    Financial institutions; Financial markets;

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:fip:fedrwp:11-01. 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: Christian Pascasio (email available below). General contact details of provider: https://edirc.repec.org/data/frbrius.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.