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Intraday liquidity in soybean complex futures markets

Author

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  • Thomas A. P. de Boer
  • Cornelis Gardebroek
  • Joost M. E. Pennings
  • Andres Trujillo‐Barrera

Abstract

We examine persistence and cross‐market liquidity spillovers in the Chicago Mercantile Exchange soybean complex futures markets. A multidimensional liquidity measure is derived from the limit‐order‐book, and a Vector Heterogeneous Autoregressive model estimates high‐resoluted liquidity from 30 s to one trading day. We find traders' order placement influenced by the liquidity of related markets. Liquidity persistence and positive liquidity spillovers mainly occur within 30 s, whereas spillovers for longer horizons are mostly negative. Findings are important for hedgers that hedge the crush and traders who wish to capitalize on the short‐term deviation of price relationships.

Suggested Citation

  • 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.
    • Handle: RePEc:wly:jfutmk:v:42:y:2022:i:7:p:1189-1211
    DOI: 10.1002/fut.22325
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    Cited by:

    1. Hussein Abdoh & Michael Chitavi, 2024. "The impact of deviations from soybean product crushing estimates on return and risk," Agricultural Economics, International Association of Agricultural Economists, vol. 55(2), pages 181-199, March.
    2. Paolo Libenzio Brignoli & Alessandro Varacca & Cornelis Gardebroek & Paolo Sckokai, 2024. "Machine learning to predict grains futures prices," Agricultural Economics, International Association of Agricultural Economists, vol. 55(3), pages 479-497, May.
    3. Kun Peng & Zhepeng Hu & Michel A. Robe, 2024. "Maximum order size and market quality: Evidence from a natural experiment in commodity futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(5), pages 803-825, May.

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