Measuring Liquidity Costs in Agricultural Futures Markets
AbstractEstimation 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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Bibliographic InfoPaper provided by NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management in its series 2007 Conference, April 16-17, 2007, Chicago, Illinois with number 37572.
Date of creation: Apr 2007
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liquidity costs; bid-ask spread; Bayesian estimation; Gibbs sampler;
Other versions of this item:
- 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.
- Frank, Julieta & Garcia, Philip, 2006. "Estimating Liquidity Costs in Agricultural Futures Markets using Bayesian Methods," 2006 Annual meeting, July 23-26, Long Beach, CA 21331, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
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