IDEAS home Printed from https://ideas.repec.org/p/isu/genstf/197701010800007084.html

Grain marketing gains in Iowa and the use of price forecasting models: a Bayesian decision approach

Author

Listed:
  • Gonzalez-Mendez, Hector Eduardo

Abstract

No abstract is available for this item.

Suggested Citation

  • Gonzalez-Mendez, Hector Eduardo, 1977. "Grain marketing gains in Iowa and the use of price forecasting models: a Bayesian decision approach," ISU General Staff Papers 197701010800007084, Iowa State University, Department of Economics.
    • Handle: RePEc:isu:genstf:197701010800007084
    as

    Download full text from publisher

    File URL: https://dr.lib.iastate.edu/server/api/core/bitstreams/11e10970-b5ac-4755-a923-6b29b2de1c2c/content
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cyert, Richard M & DeGroot, Morris H, 1974. "Rational Expectations and Bayesian Analysis," Journal of Political Economy, University of Chicago Press, vol. 82(3), pages 521-536, May/June.
    2. A. E. Baquet & A. N. Halter & Frank S. Conklin, 1976. "The Value of Frost Forecasting: A Bayesian Appraisal," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 58(3), pages 511-520.
    3. Cox, Charles C, 1976. "Futures Trading and Market Information," Journal of Political Economy, University of Chicago Press, vol. 84(6), pages 1215-1237, December.
    4. J. Bruce Bullock & Samuel H. Logan, 1970. "An Application of Statistical Decision Theory to Cattle Feedlot Marketing," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 52(2), pages 234-241.
    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. Alexander, Corinne E., 2002. "The Role Of Seed Company Supplied Information In Farmers' Decisions," 2002 Annual meeting, July 28-31, Long Beach, CA 19617, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Ya-Wen Lai, 2023. "Impact of futures’ trader types on stock market quality: evidence from Taiwan," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 47(2), pages 417-436, June.
    3. Noussair, C.N. & Tucker, S. & Xu, Yilong, 2014. "A Future Market Reduces Bubbles but Allows Greater Profit for More Sophisticated Traders," Other publications TiSEM 43ded173-9eee-48a4-8a15-6, Tilburg University, School of Economics and Management.
    4. Young, Douglas & Lin, William & Pope, Rulon & Robison, Lindon & Selley, Roger, 1979. "Risk Preferences Of Agricultual Producers:Their Measurement And Use," Risk Management in Agriculture: Behavioral, Managerial, and Policy Issues, January 25-26, 1979, San Francisco, California 271459, Regional Research Projects > W-149: An Economic Evaluation of Managing Market Risks in Agriculture.
    5. Kelly, David L. & Shorish, Jamsheed, 2000. "Stability of Functional Rational Expectations Equilibria," Journal of Economic Theory, Elsevier, vol. 95(2), pages 215-250, December.
    6. Zhang, Chuanhai & Ma, Huan & Arkorful, Gideon Bruce & Peng, Zhe, 2023. "The impacts of futures trading on volatility and volatility asymmetry of Bitcoin returns," International Review of Financial Analysis, Elsevier, vol. 86(C).
    7. You‐How Go & Wee‐Yeap Lau, 2023. "What do we know about informational efficiency? Three puzzles and the new direction forward," Journal of Economic Surveys, Wiley Blackwell, vol. 37(4), pages 1489-1525, September.
    8. Fleming, Jeff & Ostdiek, Barbara, 1999. "The impact of energy derivatives on the crude oil market," Energy Economics, Elsevier, vol. 21(2), pages 135-167, April.
    9. Arthur Charpentier & Romuald Élie & Carl Remlinger, 2023. "Reinforcement Learning in Economics and Finance," Computational Economics, Springer;Society for Computational Economics, vol. 62(1), pages 425-462, June.
    10. Palan, Stefan, 2010. "Digital options and efficiency in experimental asset markets," Journal of Economic Behavior & Organization, Elsevier, vol. 75(3), pages 506-522, September.
    11. Gilles de Truchis & Florent Dubois & Elena Ivona Dumitrescu, 2019. "Local Whittle Analysis of Stationary Unbalanced Fractional Cointegration Systems," Working Papers hal-04141882, HAL.
    12. Antoniou, Antonios & Koutmos, Gregory & Pericli, Andreas, 2005. "Index futures and positive feedback trading: evidence from major stock exchanges," Journal of Empirical Finance, Elsevier, vol. 12(2), pages 219-238, March.
    13. Skold, Karl Durwood, 1989. "The integration of alternative information systems: an application to the Hogs and Pigs report," ISU General Staff Papers 1989010108000010239, Iowa State University, Department of Economics.
    14. Hart E. Posen & Michael J. Leiblein & John S. Chen, 2018. "Toward a behavioral theory of real options: Noisy signals, bias, and learning," Strategic Management Journal, Wiley Blackwell, vol. 39(4), pages 1112-1138, April.
    15. Victor Aguirregabiria & Jihye Jeon, 2020. "Firms’ Beliefs and Learning: Models, Identification, and Empirical Evidence," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 56(2), pages 203-235, March.
    16. Tabellini, Guido, 1988. "Learning and the volatility of exchange rates," Journal of International Money and Finance, Elsevier, vol. 7(2), pages 243-250, June.
    17. Graham R. Marshall & Kevin A. Parton & G.L. Hammer, 1996. "Risk Attitude, Planting Conditions And The Value Of Seasonal Forecasts To A Dryland Wheat Grower," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 40(3), pages 211-233, December.
    18. Charles F. Manski, 2000. "Economic Analysis of Social Interactions," Journal of Economic Perspectives, American Economic Association, vol. 14(3), pages 115-136, Summer.
    19. Zonghao Chen, 2014. "Index Future Trading, Spot Volatility And Market Efficiency," Journal of Management Sciences, Geist Science, Iqra University, Faculty of Business Administration, vol. 1(2), pages 73-101, October.
    20. Sogiakas, Vasilios & Karathanassis, George, 2015. "Informational efficiency and spurious spillover effects between spot and derivatives markets," Global Finance Journal, Elsevier, vol. 27(C), pages 46-72.

    More about this item

    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:isu:genstf:197701010800007084. 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: Curtis Balmer (email available below). General contact details of provider: https://edirc.repec.org/data/deiasus.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.