IDEAS home Printed from
   My bibliography  Save this paper

Enhancing Farm Profitability through Portfolio Analysis: The Case of Spatial Rice Variety Selection


  • Nalley, Lawton Lanier
  • Barkley, Andrew P.
  • Brad, Watkins
  • Hignight, Jeffrey A.


The objectives of this paper is to use the large depth of existing literature on portfolio theory and apply it to rice varietal selection for 6 counties in the Arkansas Delta. Results based on 1999-2006 data suggests that combining available varieties using portfolio theory could have increased profits from 3 to 26% (dependent on location) in the Arkansas Delta. The major implication of this research is that data and statistical tools are available to improve the choice of rice varieties to plant each year in specific locations within Arkansas. Specifically, there are large potential gains from combining varieties that are characterized by inverse yield responses to growing conditions such as drought, pest infestation, or the presence of a specific disease.

Suggested Citation

  • Nalley, Lawton Lanier & Barkley, Andrew P. & Brad, Watkins & Hignight, Jeffrey A., 2009. "Enhancing Farm Profitability through Portfolio Analysis: The Case of Spatial Rice Variety Selection," 2009 Annual Meeting, January 31-February 3, 2009, Atlanta, Georgia 45648, Southern Agricultural Economics Association.
  • Handle: RePEc:ags:saeana:45648

    Download full text from publisher

    File URL:
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    1. Andrew P. Barkley & Lori L. Porter, 1996. "The Determinants of Wheat Variety Selection in Kansas, 1974 to 1993," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(1), pages 202-211.
    2. Barkley, Andrew P. & Peterson, Hikaru Hanawa, 2008. "Wheat Variety Selection: An Application of Portfolio Theory to Improve Returns," 2008 Conference, April 21-22, 2008, St. Louis, Missouri 37597, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    3. Annou, Mamane Malam & Thomsen, Michael R. & Hansen, James M. & Wailes, Eric J. & Cramer, Gail L., 2001. "Implications Of Rice Biotechnology On Optimal Rice Crop Rotation In The Mississippi River Delta Region," Staff Papers 15774, University of Arkansas, Department of Agricultural Economics and Agribusiness.
    Full references (including those not matched with items on IDEAS)


    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

    Cited by:

    1. Watkins, K. Bradley & Henry, Christopher G. & Mazzanti, Ralph & Schmidt, Lance & Hardke, Jarrod T., 2014. "Non-Radial Technical Efficiency of Water and Nitrogen Usage in Arkansas Rice Production," 2014 Annual Meeting, February 1-4, 2014, Dallas, Texas 162593, Southern Agricultural Economics Association.
    2. Mortenson, Ryan & Parsons, Jay & Pendell, Dustin L. & Haley, Scott D., 2012. "Wheat Variety Selection: An Application of Portfolio Theory in Colorado," Western Economics Forum, Western Agricultural Economics Association, vol. 11(02).
    3. Watkins, K. Bradley & Hristovska, Tatjana & Mazzanti, Ralph & Wilson, Charles E., Jr., "undated". "Measuring Technical, Allocative, and Economic Efficiency of Rice Production in Arkansas using Data Envelopment Analysis," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 142962, Southern Agricultural Economics Association.
    4. Steven C. Blank & Danny Klinefelter, 2012. "Keeping ARMS relevant: increasing its usability," Agricultural Finance Review, Emerald Group Publishing, vol. 72(2), pages 222-232, July.
    5. Bodin, P. & Olin, S. & Pugh, T.A.M. & Arneth, A., 2016. "Accounting for interannual variability in agricultural intensification: The potential of crop selection in Sub-Saharan Africa," Agricultural Systems, Elsevier, vol. 148(C), pages 159-168.
    6. Diersen, Matthew & Gurung, Pratik & Fausti, Scott, 2015. "Optimal Allocation of Index Insurance Intervals for Commodities," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196793, Southern Agricultural Economics Association.

    More about this item


    Rice; portfolio analysis; optimal variety selection; risk analysis.; Production Economics; D81; Q16; Q12;

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets


    Access and download statistics


    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:saeana:45648. 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: .

    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.