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Measuring the cost of liquidity in agricultural futures markets: Conventional and Bayesian approaches

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  • Julieta Frank
  • Philip Garcia

Abstract

Estimation of liquidity costs in agricultural futures markets is challenging because bid-ask spreads are usually not observed. Spread estimators that use transaction data are available, but little agreement exists on their relative accuracy and performance. We evaluate four conventional and a recently proposed Bayesian estimators using simulated data based on Roll’s standard liquidity cost model. The Bayesian estimator tracks Roll’s model relatively well except when the level of noise in the market is large. We derive an improved estimator that seems to have a higher performance even under high levels of noise which is common in agricultural futures markets. We also compute liquidity costs using data for hogs and cattle futures contracts trading on the Chicago Mercantile Exchange. The results obtained for market data are in line with the findings using simulated data.
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Suggested Citation

  • Julieta Frank & Philip Garcia, 2011. "Measuring the cost of liquidity in agricultural futures markets: Conventional and Bayesian approaches," Agricultural Economics, International Association of Agricultural Economists, vol. 42, pages 131-140, November.
    • Handle: RePEc:bla:agecon:v:42:y:2011:i::p:131-140
    DOI: j.1574-0862.2011.00557.x
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    File URL: http://hdl.handle.net/10.1111/j.1574-0862.2011.00557.x
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    Cited by:

    1. Frank, Julieta & Garcia, Philip, 2008. "Market Depth in Lean Hog and Live Cattle Futures Markets," 2008 Conference, April 21-22, 2008, St. Louis, Missouri 37613, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    2. Yuanyuan Xu & Jian Li & Linjie Wang & Xiaoli Etienne, 2025. "Examining the impact of trading volume on liquidity and prices in China's soybean complex," Agribusiness, John Wiley & Sons, Ltd., vol. 41(2), pages 342-362, April.

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