IDEAS home Printed from https://ideas.repec.org/a/ags/jloagb/260077.html
   My bibliography  Save this article

Is Hedging a Habit? Hedging Ratio Determination of Cotton Producers

Author

Listed:
  • Dorfman, Jeffrey H.
  • Pennings, Joost M.E.
  • Philip Garcia

Abstract

We examine the role that habit plays when producers determine their hedge ratio. Data were collected from U.S. cotton growers in which they indicated their hedging position in 2001 and 2002 as well as their perceived profitability, land ownership structure, and income. To account for heterogeneity, a generalized mixture regres- sion model is used to identify the influence of the determinants of the hedge ratio. Our results identified two segments. In the smaller segment, consisting of 35% of the producers, habit did not affect the hedge ratio; instead, land ownership and perceived profitability were most influential. In the larger segment, consisting of 65% of the producers, the hedge ratio was solely driven by habit. The results show the important role of habit formation in understanding producers’ employed hedge ratio, confirm the importance of heterogeneity, and strengthen the relation- ship between financial structure and market-risk mitigating behavior.

Suggested Citation

  • Dorfman, Jeffrey H. & Pennings, Joost M.E. & Philip Garcia, 2010. "Is Hedging a Habit? Hedging Ratio Determination of Cotton Producers," Journal of Agribusiness, Agricultural Economics Association of Georgia, vol. 28(1).
    • Handle: RePEc:ags:jloagb:260077
    DOI: 10.22004/ag.econ.260077
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/260077/files/Is%20Hedging%20a%20Habit%3F%20Hedging%20Ratio%20Determination%20of%20Cotton%20Producers.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.260077?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
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Calum G. Turvey & Timothy G. Baker, 1990. "A Farm-Level Financial Analysis of Farmers' Use of Futures and Options under Alternative Farm Programs," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(4), pages 946-957.
    2. 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.
    3. Tufano, Peter, 1996. "Who Manages Risk? An Empirical Examination of Risk Management Practices in the Gold Mining Industry," Journal of Finance, American Finance Association, vol. 51(4), pages 1097-1137, 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. Dorfman, Jeffrey H. & Karali, Berna, 2010. "Do Farmers Hedge Optimally or by Habit? A Bayesian Partial-Adjustment Model of Farmer Hedging," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 42(4), pages 791-803, November.
    2. Carrer, Marcelo José & Silveira, Rodrigo Lanna F. & Meirelles De Souza Filho, Hildo, 2017. "Citrus Producers' Choice of Price Risk Management Tools," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258352, Agricultural and Applied Economics Association.

    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. 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).
    2. 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.
    3. Chang, Chia-Lin & Hsu, Hui-Kuang, 2013. "Modelling Volatility Size Effects for Firm Performance: The Impact of Chinese Tourists to Taiwan," MPRA Paper 45691, University Library of Munich, Germany.
    4. Ongena, Steven & Savaşer, Tanseli & Şişli Ciamarra, Elif, 2022. "CEO incentives and bank risk over the business cycle," Journal of Banking & Finance, Elsevier, vol. 138(C).
    5. Ingo Fender, 2000. "Corporate hedging: the impact of financial derivatives on the broad credit channel of monetary policy," BIS Working Papers 94, Bank for International Settlements.
    6. Niclas Hagelin, 2003. "Why firms hedge with currency derivatives: an examination of transaction and translation exposure," Applied Financial Economics, Taylor & Francis Journals, vol. 13(1), pages 55-69.
    7. Brent A. Gloy & Timothy G. Baker, 2002. "The Importance of Financial Leverage and Risk Aversion in Risk-Management Strategy Selection," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(4), pages 1130-1143.
    8. González, Maximiliano & Guzmán, Alexander & Pombo, Carlos & Trujillo, María Andréa, 2012. "Family involvement and dividend policy in listed and non-listed firms," Galeras. Working Papers Series 034, Universidad de Los Andes. Facultad de Administración. School of Management.
    9. B. Charumathi & Hima Bindu Kota, 2012. "On the Determinants of Derivative Usage by Large Indian Non-financial Firms," Global Business Review, International Management Institute, vol. 13(2), pages 251-267, June.
    10. Domenico Piccolo & Rosaria Simone, 2019. "The class of cub models: statistical foundations, inferential issues and empirical evidence," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 28(3), pages 389-435, September.
    11. Wu, Jianfeng & Tu, Rungting, 2007. "CEO stock option pay and R&D spending: a behavioral agency explanation," Journal of Business Research, Elsevier, vol. 60(5), pages 482-492, May.
    12. Al-Amri, Khalid & Davydov, Yevgeniy, 2016. "Testing the effectiveness of ERM: Evidence from operational losses," Journal of Economics and Business, Elsevier, vol. 87(C), pages 70-82.
    13. Hsin-Hui Chiu & Eva Wagner, 2020. "CEO Bonus Pay and Firm Credit Risk," International Journal of Risk and Contingency Management (IJRCM), IGI Global, vol. 9(1), pages 1-19, January.
    14. Qian Wang & Heshan Guan & Rongrong Deng, 2016. "An Empirical Study on the Relationship between Enterprise Risk Management and Corporate Value—From the Perspective of Top Executives Incentives," International Journal of Business and Management, Canadian Center of Science and Education, vol. 12(1), pages 228-228, December.
    15. Jiyeon Yun & James M. Carson & David L. Eckles, 2023. "Executive compensation and corporate risk management," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 90(2), pages 521-557, June.
    16. Chakraborty, Atreya & Gao, Lucia Silva & Sheikh, Shahbaz, 2019. "Managerial risk taking incentives, corporate social responsibility and firm risk," Journal of Economics and Business, Elsevier, vol. 101(C), pages 58-72.
    17. Michael K. Fung, 2019. "Fraudulent Financial Reporting and Technological Capability in the Information Technology Sector: A Resource-Based Perspective," Journal of Business Ethics, Springer, vol. 156(2), pages 577-589, May.
    18. Johnson, Lewis D. & Yu, Wayne W., 2004. "An analysis of the use of derivatives by the Canadian mutual fund industry," Journal of International Money and Finance, Elsevier, vol. 23(6), pages 947-970, October.
    19. Limpaphayom, Piman & Rogers, Daniel A. & Yanase, Noriyoshi, 2019. "Bank equity ownership and corporate hedging: Evidence from Japan," Journal of Corporate Finance, Elsevier, vol. 58(C), pages 765-783.
    20. Ana Oliveira-Brochado & F. Vitorino Martins, 2006. "Examining the segment retention problem for the “Group Satellite” case," FEP Working Papers 220, Universidade do Porto, Faculdade de Economia do Porto.

    More about this item

    Keywords

    Agricultural Finance;

    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:ags:jloagb:260077. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aeaggea.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.