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The Components of the Bid-Ask Spread: Evidence from the Corn Futures Market

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  • Shang, Quanbiao
  • Mallory, Mindy

Abstract

This paper examines whether USDA announcements and commodity index fund rolling activity has an impact of 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 the adverse selection component, the inventory cost component, or the order processing component. Commodity index fund roll activity reduces the asymmetric information cost component of liquidity cost due to an increased proportion of non-information based trading, but the inventory cost component increases as (mostly long only) commodity index funds sell their nearby position 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 very near to 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 associated with trading the report release. As was the case for commodity index fund roll activity, liquidity costs on USDA report release days remain low, averaging very near to one ‘tick’ (0.25 cents). Our finding that liquidity costs are very minimally changed during USDA report releases and commodity index fund roll periods is similar to other recent research on liquidity costs, but we show that what drives liquidity costs is very different depending on the circumstances surrounding trading on any given day.

Suggested Citation

  • Shang, Quanbiao & Mallory, Mindy, 2016. "The Components of the Bid-Ask Spread: Evidence from the Corn Futures Market," 2016 Conference, April 18-19, 2016, St. Louis, Missouri 285856, NCR-134/ NCCC-134 Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    • Handle: RePEc:ags:n13416:285856
    DOI: 10.22004/ag.econ.285856
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    References listed on IDEAS

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    1. Michael K. Adjemian, 2012. "Quantifying the WASDE Announcement Effect," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(1), pages 238-256.
    2. Aaron Smith, 2005. "Partially overlapping time series: a new model for volatility dynamics in commodity futures," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(3), pages 405-422.
    3. Irwin, Scott H. & Sanders, Dwight R., 2012. "Financialization and Structural Change in Commodity Futures Markets," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 44(3), pages 1-26, August.
    4. Krinsky, Itzhak & Lee, Jason, 1996. "Earnings Announcements and the Components of the Bid-Ask Spread," Journal of Finance, American Finance Association, vol. 51(4), pages 1523-1535, September.
    5. Glosten, Lawrence R, 1987. "Components of the Bid-Ask Spread and the Statistical Properties of Transaction Prices," Journal of Finance, American Finance Association, vol. 42(5), pages 1293-1307, December.
    6. Aaron Smith, 2005. "Partially overlapping time series: a new model for volatility dynamics in commodity futures," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(3), pages 405-422, March.
    7. Huang, Roger D & Stoll, Hans R, 1994. "Market Microstructure and Stock Return Predictions," The Review of Financial Studies, Society for Financial Studies, vol. 7(1), pages 179-213.
    8. Wang, Xiaoyang & Garcia, Philip & Irwin, Scott H., "undated". "Intraday Bid Ask Spread Variation in the Electronically Traded Corn Futures Market," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124899, Agricultural and Applied Economics Association.
    9. Bessembinder, Hendrik & Carrion, Allen & Tuttle, Laura & Venkataraman, Kumar, 2016. "Liquidity, resiliency and market quality around predictable trades: Theory and evidence," Journal of Financial Economics, Elsevier, vol. 121(1), pages 142-166.
    10. Copeland, Thomas E & Galai, Dan, 1983. "Information Effects on the Bid-Ask Spread," Journal of Finance, American Finance Association, vol. 38(5), pages 1457-1469, December.
    11. Georg V. Lehecka & Xiaoyang Wang & Philip Garcia, 2014. "Gone in Ten Minutes: Intraday Evidence of Announcement Effects in the Electronic Corn Futures Market," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 36(3), pages 504-526.
    12. Roll, Richard, 1984. "A Simple Implicit Measure of the Effective Bid-Ask Spread in an Efficient Market," Journal of Finance, American Finance Association, vol. 39(4), pages 1127-1139, September.
    13. Glosten, Lawrence R. & Harris, Lawrence E., 1988. "Estimating the components of the bid/ask spread," Journal of Financial Economics, Elsevier, vol. 21(1), pages 123-142, May.
    14. Glosten, Lawrence R. & Milgrom, Paul R., 1985. "Bid, ask and transaction prices in a specialist market with heterogeneously informed traders," Journal of Financial Economics, Elsevier, vol. 14(1), pages 71-100, March.
    15. I. Krinsky & J. Lee, 1996. "Earning Announcements and the Components of the Bid-Ask Aspread," Quantitative Studies in Economics and Population Research Reports 313, McMaster University.
    16. Shang, Quanbiao & Mallory, Mindy & Garcia, Philip, 2016. "The Electronic Live Cattle Futures Market Bid Ask Spread Behaviors and Components," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235921, Agricultural and Applied Economics Association.
    17. Lee, Charles M C & Ready, Mark J, 1991. "Inferring Trade Direction from Intraday Data," Journal of Finance, American Finance Association, vol. 46(2), pages 733-746, June.
    18. Henry Bryant & Michael Haigh, 2004. "Bid-ask spreads in commodity futures markets," Applied Financial Economics, Taylor & Francis Journals, vol. 14(13), pages 923-936.
    19. Doojin Ryu, 2011. "Intraday price formation and bid–ask spread components: A new approach using a cross‐market model," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 31(12), pages 1142-1169, December.
    20. Ho, Thomas & Stoll, Hans R., 1981. "Optimal dealer pricing under transactions and return uncertainty," Journal of Financial Economics, Elsevier, vol. 9(1), pages 47-73, March.
    21. Petersen, Mitchell A. & Fialkowski, David, 1994. "Posted versus effective spreads *1: Good prices or bad quotes?," Journal of Financial Economics, Elsevier, vol. 35(3), pages 269-292, June.
    22. Nicole M. Aulerich & Scott H. Irwin & Philip Garcia, 2014. "Bubbles, Food Prices, and Speculation: Evidence from the CFTC's Daily Large Trader Data Files," NBER Chapters, in: The Economics of Food Price Volatility, pages 211-253, National Bureau of Economic Research, Inc.
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