Hostname: page-component-8448b6f56d-wq2xx Total loading time: 0 Render date: 2024-04-24T09:26:48.578Z Has data issue: false hasContentIssue false

Pre-Harvest Pricing Strategies in Ohio Corn Markets: Their Effect on Returns and Cash Flow

Published online by Cambridge University Press:  28 April 2015

Carl R. Zulauf
Affiliation:
Department of Agricultural, Environmental, and Development Economics, the Ohio State University, Columbus, Ohio
Donald W. Larson
Affiliation:
Department of Agricultural, Environmental, and Development Economics, the Ohio State University, Columbus, Ohio
Christopher K. Alexander
Affiliation:
Ag Credit (ACA)
Scott H. Irwin
Affiliation:
Department of Agricultural and Consumer Economics, University of Illinois, Champaign- Urbana, Ilinois
Get access

Abstract

This paper contributes to the debate on whether pre-harvest pricing strategies can improve returns over cash sales at harvest. It also examines cash flow needs of such strategies. The analysis is conducted for Ohio corn produced from 1986 through 1999. The pre-harvest strategies evaluated (short futures, long put, synthetic long put, put-call fence) did not statistically improve returns over cash sales at harvest. However, if implemented during or before planting, these naïve strategies reduced the standard deviation of annual gross income. Substantial cash flow may be incurred, either to establish the strategy or meet margin calls. Therefore, assessments of pre-harvest pricing strategies should include cash flow needs, along with return and risk.

Type
Articles
Copyright
Copyright © Southern Agricultural Economics Association 2001

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Anderson, R.W.Some Determinants of the Volatility of Futures Prices.’ The Journal of Futures Markets 5(1985): 331348.CrossRefGoogle Scholar
Board of Trade of the City of Chicago. Commodity Trading Manual. 1989.Google Scholar
Board of Trade of the City of Chicago. “Standard Portfolio Analysis of Risk- (SPAN-) Overview.” Working Paper, Chicago, Illinois. September 9, 1993.Google Scholar
Brorsen, B.W.Liquidity Costs and Scalping Costs in the Corn Futures Market.” The Journal of Futures Markets 9(June 1989): 225236.CrossRefGoogle Scholar
Brorsen, B. W.Optimal Hedge Ratios with Risk-Neutral Producers and Nonlinear Borrowing Costs.” American Journal of Agricultural Economics 77(1995): 174181.CrossRefGoogle Scholar
Edwards, F.R., and Ma, C.W.. Futures & Options. McGraw-Hill, Inc.: New York. 1992.Google Scholar
Fama, E.F.Efficient Capital Markets: A Review of Theory and Empirical Work.” Journal of Finance 25(1970): 383417.CrossRefGoogle Scholar
Fama, E.F.Efficient Capital Markets: II.” Journal of Finance 46(1991): 15751617.CrossRefGoogle Scholar
Grant, D.How Much Should Farmers Hedge at Planting Time?” in Symposium Proceedings of Options, Futures, and Agricultural Commodity Programs. Edited by Wright, B. Washington: Commodity Economic Division-Economic Research Service, United States Department of Agriculture Staff Report AGES # 870911. 1987. pp. 124132.Google Scholar
Grant, D.Optimal Futures Positions for Corn and Soybean Growers Facing Price and Yield Risk.” Washington: Economic Research Service, United States Department of Agriculture Technical Bulletin # 1751. 1989.Google Scholar
Greenhall, L.J., Tauer, L.W., and Tomek, W.G.. “Optimal Hedging Levels for Corn Producers with Differing Objective Function.” In Proceedings of NCR-134 Conference on Applied Commodity Analysis, Forecasting, and Market Risk Management. Edited by Hayenga, M.L. 1984. pp. 200221.Google Scholar
Grossman, S.J., and Stiglitz, J.E.On the Impossibility of Informationally Efficient Markets.” The American Economic Review 70(June 1980): 393408.Google Scholar
Keynes, J.M.A Treatise on Money. Volume II: The Applied Theory of Money. Macmillan: London. 1930.Google Scholar
Lei, L., Liu, D., and Hallam, A.Solving for Optimal Futures and Options Positions Using a Simulation-Optimization Technique.” The Journal of Futures Markets 15(1995): 559571.CrossRefGoogle Scholar
Martines-Filho, J.G.Pre-Harvest Marketing Strategies for Corn and Soybeans: A Comparison of Optimal Hedging Models and Marketing Advisory Service Recommendations.” Unpublished Ph. D. Dissertation, Columbus: The Ohio State University. 1996.Google Scholar
Thompson, S.R., and Waller, M.L.The Execution Cost of Trading in Commodity Markets.” Food Research Institute Studies 19, 2(1987): 141163.Google Scholar
Wisner, R.N., Blue, E.N., and Baldwin, E.D.Pre-harvest Marketing Strategies Increase Net Returns for Corn and Soybean Growers.” Review of Agricultural Economics 20(1998): 288306.Google Scholar
Zulauf, C.R., and Irwin, S.H.Marketing Efficiency and Marketing to Enhance Income of Crop Producers.” Review of Agricultural Economics 20 (1998): 308331.Google Scholar