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The Impact of Price Variability on Cash/Futures Market Relationships: Implications for Market Efficiency and Price Discovery

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  • Arnade, Carlos
  • Hoffman, Linwood

Abstract

This study investigates the relationship between cash and future prices of soybeans and soybean meal over periods of high and low price variability. Error Correction models are estimated for each commodity’s cash and futures price. An exogenous measure of price variability is included in the model to determine if variability influences the equilibrium adjustment process. This, in turn, is used to measure the impact of price variability on short run market efficiency and the price discovery process. The analysis is applied to daily cash and futures prices from 1992 to 2013. The findings support the idea that increased price variability increases market adjustment rates and the price discovery process.

Suggested Citation

  • Arnade, Carlos & Hoffman, Linwood, 2015. "The Impact of Price Variability on Cash/Futures Market Relationships: Implications for Market Efficiency and Price Discovery," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 201850, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea15:201850
    DOI: 10.22004/ag.econ.201850
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    References listed on IDEAS

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    1. Etienne, Xiaoli L. & Irwin, Scott H. & Garcia, Philip, 2014. "Bubbles in food commodity markets: Four decades of evidence," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 129-155.
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    Cited by:

    1. Mehdi Arzandeh & Julieta Frank, 2019. "Price Discovery in Agricultural Futures Markets: Should We Look beyond the Best Bid-Ask Spread?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 101(5), pages 1482-1498.
    2. Joshua G. Maples & B. Wade Brorsen, 2022. "Handling the discontinuity in futures prices when time series modeling of commodity cash and futures prices," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 70(2), pages 139-152, June.
    3. Narjiss Araba & Alain François-Heude, 2019. "Price discovery and volatility spillovers in the French wheat market," Post-Print hal-03088859, HAL.
    4. Joseph P. Janzen & Michael K. Adjemian, 2017. "Estimating the Location of World Wheat Price Discovery," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(5), pages 1188-1207.
    5. Janzen, Joseph P. & Adjemian, Michael K., 2016. "Estimating the Location of World Wheat Price Determination," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235838, Agricultural and Applied Economics Association.
    6. Byung Min Soon & Jarrett Whistance, 2019. "Seasonal Soybean Price Transmission between the U.S. and Brazil Using the Seasonal Regime-Dependent Vector Error Correction Model," Sustainability, MDPI, vol. 11(19), pages 1-9, September.
    7. Nigatu, Getachew & Adjemian, Michael K., 2016. "The U.S. Role in the Price Determination of Major Agricultural Commodities," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236045, Agricultural and Applied Economics Association.
    8. Kim, Man-Keun & Tejeda, Hernan & Wright, Jeffrey, 2016. "Price Discovery in the U.S. Milled Rice Markets using a Cluster Analysis and Tournament," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235725, Agricultural and Applied Economics Association.
    9. Teresa Vollmer & Helmut Herwartz & Stephan von Cramon-Taubadel, 2020. "Measuring price discovery in the European wheat market using the partial cointegration approach," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 47(3), pages 1173-1200.
    10. A.N. Vijayakumar, 2023. "Declining trade interest in Indian commodity derivatives: a survey-based study on cardamom futures contract," Global Business and Economics Review, Inderscience Enterprises Ltd, vol. 28(3), pages 333-346.
    11. Dimpfl, Thomas & Flad, Michael & Jung, Robert C., 2017. "Price discovery in agricultural commodity markets in the presence of futures speculation," Journal of Commodity Markets, Elsevier, vol. 5(C), pages 50-62.
    12. Etienne, Xiaoli L. & Farhangdoost, Sara & Hoffman, Linwood A. & Adam, Brian D., 2023. "Forecasting the U.S. season-average farm price of corn: Derivation of an alternative futures-based forecasting model," Journal of Commodity Markets, Elsevier, vol. 30(C).
    13. Mehdi Arzandeh & Julieta Frank, 2019. "Price Discovery in Agricultural Futures Markets: Should We Look beyond the Best Bid‐Ask Spread?," American Journal of Agricultural Economics, John Wiley & Sons, vol. 101(5), pages 1482-1498, October.

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    More about this item

    Keywords

    Demand and Price Analysis; Research Methods/ Statistical Methods;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics

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