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The components of the bid†ask spread: Evidence from the corn futures market

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  • Quanbiao Shang
  • Mindy Mallory
  • Philip Garcia

Abstract

This article examines whether USDA announcements and commodity index fund rolling activity have an impact on liquidity costs, measured by the bid†ask spread. Using Huang and Stoll's (1997) model of liquidity costs, we estimate whether changes to liquidity costs are driven by its adverse selection, inventory, or order processing components. Commodity index fund roll activity reduces the asymmetric information cost component of liquidity cost due to an increased proportion of noninformation†based trading, but the inventory cost component increases as (mostly long only) commodity index funds sell their nearby positions and buy the first deferred contract—raising liquidity providers’ risk of building a position. The sum of these two effects is that liquidity costs remain low during index fund roll periods, averaging one “tick†(0.25 cents). On USDA report release days, we find that informed traders raise the asymmetric information component of liquidity costs in the first hour after release, but the inventory cost component is reduced due to the increase in volume. Similar to index fund roll activity, liquidity costs on USDA report release days remain low, averaging one “tick†. Our findings that liquidity costs are minimally changed during USDA report releases and commodity index fund roll periods is consistent with other recent research on liquidity costs, but we show that what drives liquidity costs differs substantially depending on the circumstances surrounding daily trading.

Suggested Citation

  • Quanbiao Shang & Mindy Mallory & Philip Garcia, 2018. "The components of the bid†ask spread: Evidence from the corn futures market," Agricultural Economics, International Association of Agricultural Economists, vol. 49(3), pages 381-393, May.
  • Handle: RePEc:bla:agecon:v:49:y:2018:i:3:p:381-393
    DOI: 10.1111/agec.12423
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    Cited by:

    1. Zhepeng Hu & Mindy Mallory & Teresa Serra & Philip Garcia, 2020. "Measuring price discovery between nearby and deferred contracts in storable and nonstorable commodity futures markets," Agricultural Economics, International Association of Agricultural Economists, vol. 51(6), pages 825-840, November.
    2. Thomas A. P. de Boer & Cornelis Gardebroek & Joost M. E. Pennings & Andres Trujillo‐Barrera, 2022. "Intraday liquidity in soybean complex futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(7), pages 1189-1211, July.
    3. Indriawan, Ivan & Martinez, Valeria & Tse, Yiuman, 2021. "The impact of the change in USDA announcement release procedures on agricultural commodity futures," Journal of Commodity Markets, Elsevier, vol. 23(C).
    4. Gregor Helmut Schoenemann, 2022. "The man in the middle—liquidity provision under central clearing in the credit default swap market: A regression discontinuity approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(3), pages 446-471, March.
    5. Wang, Lu & Wu, Rui & Ma, WeiChun & Xu, Weiju, 2023. "Examining the volatility of soybean market in the MIDAS framework: The importance of bagging-based weather information," International Review of Financial Analysis, Elsevier, vol. 89(C).
    6. Quanbiao Shang & Teresa Serra & Philip Garcia & Mindy Mallory, 2021. "Looking under the surface: An analysis of iceberg orders in the U.S. agricultural futures markets," Agricultural Economics, International Association of Agricultural Economists, vol. 52(4), pages 679-699, July.
    7. Adjemian, Michael K. & Irwin, Scott H., 2020. "The market response to government crop news under different release regimes," Journal of Commodity Markets, Elsevier, vol. 19(C).
    8. Miao Li & Tao Xiong & Ziran Li, 2023. "A tale of two contracts: Examining the behavior of bid–ask spreads of corn futures in China," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(6), pages 792-806, June.
    9. Adrian Fernandez‐Perez & Bart Frijns & Ivan Indriawan & Alireza Tourani‐Rad, 2019. "Surprise and dispersion: informational impact of USDA announcements," Agricultural Economics, International Association of Agricultural Economists, vol. 50(1), pages 113-126, January.
    10. Joshua Huang & Teresa Serra & Philip Garcia & Scott H. Irwin, 2022. "To batch or not to batch? The release of USDA crop reports," Agricultural Economics, International Association of Agricultural Economists, vol. 53(1), pages 143-154, January.
    11. Zhou, Xinquan & Bagnarosa, Guillaume & Gohin, Alexandre & Pennings, Joost M.E. & Debie, Philippe, 2023. "Microstructure and high-frequency price discovery in the soybean complex," Journal of Commodity Markets, Elsevier, vol. 30(C).

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