IDEAS home Printed from https://ideas.repec.org/p/ags/aaea03/21963.html
   My bibliography  Save this paper

How To Group Market Participants? Heterogeneity In Hedging Behavior

Author

Listed:
  • Pennings, Joost M.E.
  • Garcia, Philip
  • Irwin, Scott H.
  • Good, Darrel L.

Abstract

Using a generalized mixture model, we model individual heterogeneity by identifying groups of participants that respond in a similar manner to the determinants of economic behavior. The procedure emphasizes the role of theory as the determinants of behavior are used to simultaneously explain market activities and to discriminate among groups of market participants. We show the appealing properties of this modeling approach by comparing it with two often used grouping methods in an empirical study in which we estimate the factors affecting market participants' hedging behavior.

Suggested Citation

  • Pennings, Joost M.E. & Garcia, Philip & Irwin, Scott H. & Good, Darrel L., 2003. "How To Group Market Participants? Heterogeneity In Hedging Behavior," 2003 Annual meeting, July 27-30, Montreal, Canada 21963, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea03:21963
    as

    Download full text from publisher

    File URL: http://purl.umn.edu/21963
    Download Restriction: no

    References listed on IDEAS

    as
    1. James J. Heckman, 2001. "Micro Data, Heterogeneity, and the Evaluation of Public Policy: Nobel Lecture," Journal of Political Economy, University of Chicago Press, vol. 109(4), pages 673-748, August.
    2. Jaume Ventura & Francesco Caselli, 2000. "A Representative Consumer Theory of Distribution," American Economic Review, American Economic Association, vol. 90(4), pages 909-926, September.
    3. Kaye Basford & Geoffrey McLachlan, 1985. "The mixture method of clustering applied to three-way data," Journal of Classification, Springer;The Classification Society, vol. 2(1), pages 109-125, December.
    4. Froot, Kenneth A & Scharfstein, David S & Stein, Jeremy C, 1993. " Risk Management: Coordinating Corporate Investment and Financing Policies," Journal of Finance, American Finance Association, vol. 48(5), pages 1629-1658, December.
    5. Wayne DeSarbo & William Cron, 1988. "A maximum likelihood methodology for clusterwise linear regression," Journal of Classification, Springer;The Classification Society, vol. 5(2), pages 249-282, September.
    6. Joost M.E. Pennings & Raymond M. Leuthold, 2000. "The Role of Farmers' Behavioral Attitudes and Heterogeneity in Futures Contracts Usage," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(4), pages 908-919.
    7. Jennifer Lynch Koski & Jeffrey Pontiff, 1999. "How Are Derivatives Used? Evidence from the Mutual Fund Industry," Journal of Finance, American Finance Association, vol. 54(2), pages 791-816, April.
    8. Michel Wedel & Wayne DeSarbo, 1995. "A mixture likelihood approach for generalized linear models," Journal of Classification, Springer;The Classification Society, vol. 12(1), pages 21-55, March.
    9. Green, Paul E & Carmone, Frank J & Wachspress, David P, 1976. " Consumer Segmentation via Latent Class Analysis," Journal of Consumer Research, Oxford University Press, vol. 3(3), pages 170-174, December.
    10. Joost M.E. Pennings & Ale Smidts, 2000. "Assessing the Construct Validity of Risk Attitude," Management Science, INFORMS, vol. 46(10), pages 1337-1348, October.
    11. Holthausen, Duncan M, 1979. "Hedging and the Competitive Firm under Price Uncertainty," American Economic Review, American Economic Association, vol. 69(5), pages 989-995, December.
    12. Berthold Herrendorf & Akos Valentinyi & Robert Waldmann, 2000. "Ruling Out Multiplicity and Indeterminacy: The Role of Heterogeneity," Review of Economic Studies, Oxford University Press, vol. 67(2), pages 295-307.
    13. Ale Smidts, 1997. "The Relationship Between Risk Attitude and Strength of Preference: A Test of Intrinsic Risk Attitude," Management Science, INFORMS, vol. 43(3), pages 357-370, March.
    14. Joost M.E. Pennings & Philip Garcia, 2001. "Measuring Producers' Risk Preferences: A Global Risk-Attitude Construct," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(4), pages 993-1009.
    15. John R. Graham & Daniel A. Rogers, 2002. "Do Firms Hedge in Response to Tax Incentives?," Journal of Finance, American Finance Association, vol. 57(2), pages 815-839, April.
    16. Peter Tufano, 1998. "The Determinants of Stock Price Exposure: Financial Engineering and the Gold Mining Industry," Journal of Finance, American Finance Association, vol. 53(3), pages 1015-1052, June.
    17. Nance, Deana R & Smith, Clifford W, Jr & Smithson, Charles W, 1993. " On the Determinants of Corporate Hedging," Journal of Finance, American Finance Association, vol. 48(1), pages 267-284, March.
    18. Pennings, Joost M. E. & Garcia, Philip, 2004. "Hedging behavior in small and medium-sized enterprises: The role of unobserved heterogeneity," Journal of Banking & Finance, Elsevier, vol. 28(5), pages 951-978, May.
    19. Rolfo, Jacques, 1980. "Optimal Hedging under Price and Quantity Uncertainty: The Case of a Cocoa Producer," Journal of Political Economy, University of Chicago Press, vol. 88(1), pages 100-116, February.
    20. B.I. Shapiro & B. Wade Brorsen, 1988. "Factors Affecting Farmers' Hedging Decisions," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 10(2), pages 145-153.
    21. G. David Haushalter, 2000. "Financing Policy, Basis Risk, and Corporate Hedging: Evidence from Oil and Gas Producers," Journal of Finance, American Finance Association, vol. 55(1), pages 107-152, February.
    Full references (including those not matched with items on IDEAS)

    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:ags:aaea03:21963. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search). General contact details of provider: http://edirc.repec.org/data/aaeaaea.html .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.