IDEAS home Printed from https://ideas.repec.org/a/oup/ajagec/v93y2010i1p209-225.html
   My bibliography  Save this article

Bid-Ask Spreads, Volume, and Volatility: Evidence from Livestock Markets

Author

Listed:
  • Julieta Frank
  • Philip Garcia

Abstract

Using literature-based measures and a modified Bayesian method specified here, we estimate liquidity costs and their determinants for the live cattle and hog futures markets. Volume and volatility are simultaneously determined and significantly related to the bid-ask spread. Daily volume is negatively related to the spread while volatility and average volume per transaction display positive relationships. Electronic trading has a significant competitive effect on liquidity costs, particularly in the live cattle market. Results are sensitive to the bid-ask spread measure, with our modified Bayesian method providing estimates most consistent with expectations and the competitive structure in these markets. Copyright 2010, Oxford University Press.

Suggested Citation

  • Julieta Frank & Philip Garcia, 2010. "Bid-Ask Spreads, Volume, and Volatility: Evidence from Livestock Markets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(1), pages 209-225.
    • Handle: RePEc:oup:ajagec:v:93:y:2010:i:1:p:209-225
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/ajae/aaq116
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Cumby, Robert E & Huizinga, John, 1992. "Testing the Autocorrelation Structure of Disturbances in Ordinary Least Squares and Instrumental Variables Regressions," Econometrica, Econometric Society, vol. 60(1), pages 185-195, January.
    2. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    3. Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2007. "Enhanced routines for instrumental variables/GMM estimation and testing," CERT Discussion Papers 0706, Centre for Economic Reform and Transformation, Heriot Watt University.
    4. Dwight R. Sanders & Scott H. Irwin & Robert P. Merrin, 2010. "The Adequacy of Speculation in Agricultural Futures Markets: Too Much of a Good Thing?," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 32(1), pages 77-94.
    5. Whitney K. Newey & Kenneth D. West, 1994. "Automatic Lag Selection in Covariance Matrix Estimation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 61(4), pages 631-653.
    6. Thompson, Sarahelen R. & Waller, Mark L., 1987. "The Execution Cost of Trading in Commodity Futures Markets," Food Research Institute Studies, Stanford University, Food Research Institute, vol. 20(2), pages 1-24.
    7. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    8. Adrian R Pagan & Anthony D Hall, 1983. "Diagnostic tests as residual analysis," Published Paper Series 1983-1, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    9. Thompson, S. & Waller, M.L., 1988. "Determinants Of Liquidity Costs In Commodity Furures Markets," Papers 172, Columbia - Center for Futures Markets.
    10. Hasbrouck, Joel, 2004. "Liquidity in the Futures Pits: Inferring Market Dynamics from Incomplete Data," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 39(2), pages 305-326, June.
    11. Henry Bryant & Michael Haigh, 2004. "Bid-ask spreads in commodity futures markets," Applied Financial Economics, Taylor & Francis Journals, vol. 14(13), pages 923-936.
    12. Thompson, Sarahelen R. & Eales, James S. & Seibold, David, 1993. "Comparison Of Liquidity Costs Between The Kansas City And Chicago Wheat Futures Contracts," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 18(2), pages 1-13, December.
    13. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. Mehdi Arzandeh & Julieta Frank, 2019. "Price Discovery in Agricultural Futures Markets: Should We Look beyond the Best Bid-Ask Spread?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 101(5), pages 1482-1498.
    3. Rashmi Ranjan Paital & Naresh Kumar Sharma, 2016. "Bid-Ask Spreads, Trading Volume and Return Volatility: Intraday Evidence from Indian Stock Market," Eurasian Journal of Economics and Finance, Eurasian Publications, vol. 4(1), pages 24-40.
    4. Janzen, Joseph P. & Adjemian, Michael K., 2016. "Estimating the Location of World Wheat Price Determination," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235838, Agricultural and Applied Economics Association.
    5. Jing Ao & Jihui Chen, 2020. "Price Volatility, the Maturity Effect, and Global Oil Prices: Evidence from Chinese Commodity Futures Markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 44(4), pages 627-654, October.
    6. Janzen, Joseph P. & Carter, Colin A. & Smith, Aaron D., 2012. "The Quality of Price Discovery and the Transition to Electronic Trade: The Case of Cotton Futures," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124994, Agricultural and Applied Economics Association.
    7. 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.
    8. Xiaoyang Wang & Philip Garcia & Scott H. Irwin, 2014. "The Behavior of Bid-Ask Spreads in the Electronically-Traded Corn Futures Market," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(2), pages 557-577.
    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. Mehdi Arzandeh & Julieta Frank, 2019. "Price Discovery in Agricultural Futures Markets: Should We Look beyond the Best Bid‐Ask Spread?," American Journal of Agricultural Economics, John Wiley & Sons, vol. 101(5), pages 1482-1498, October.
    11. Xinyue He & Teresa Serra & Philip Garcia, 2021. "Resilience in “Flash Events” in the Corn and Lean Hog Futures Markets," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(2), pages 743-764, March.
    12. Arzandeh, Mehdi & Frank, Julieta, 2017. "The Information Content of the Limit Order Book," 7th Annual Canadian Agri-Food Policy Conference, January 11-13, 2017, Ottawa, ON 253251, Canadian Agricultural Economics Society.
    13. Arzandeh, Mehdi & Frank, Julieta, 2017. "Price Discovery in Agricultural Futures Markets: Should We Look Beyond the Best Bid-Ask Spread?," Annual Meeting, 2017, June 18-21, Montreal, Canada 259344, Canadian Agricultural Economics Society.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Xiaoyang Wang & Philip Garcia & Scott H. Irwin, 2014. "The Behavior of Bid-Ask Spreads in the Electronically-Traded Corn Futures Market," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(2), pages 557-577.
    3. 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.
    4. Pennings, Joost M.E. & Garcia, Philip & Marsh, Julia W., 2003. "Futures Market Depth: Revealed Vs. Perceived Price Order Imbalances," 2003 Conference, April 21-22, 2003, St. Louis, Missouri 18989, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    5. Jieun Lee, 2018. "Who Improves or Worsens Liquidity in the Korean Treasury Bond Market?," Working Papers 2018-3, Economic Research Institute, Bank of Korea.
    6. Guilhem Bascle, 2008. "Controlling for endogeneity with instrumental variables in strategic management research," Post-Print hal-00576795, HAL.
    7. Kale, Jayant R. & Loon, Yee Cheng, 2011. "Product market power and stock market liquidity," Journal of Financial Markets, Elsevier, vol. 14(2), pages 376-410, May.
    8. Park, Cheol-Ho & Irwin, Scott H., 2004. "The Profitability Of Technical Trading Rules In Us Futures Markets: A Data Snooping Free Test," 2004 Conference, April 19-20, 2004, St. Louis, Missouri 19011, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    9. Bryant, Henry L. & Haigh, Michael S., 2001. "Estimating Actual Bid-Ask Spreads In Commodity Futures Markets," 2001 Annual meeting, August 5-8, Chicago, IL 20707, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    10. Muhammad Sadil Ali & Shujahat Haider Hashmi, 2018. "Impact of Institutional Ownership on Stock Liquidity: Evidence from Karachi Stock Exchange, Pakistan," Global Business Review, International Management Institute, vol. 19(4), pages 939-951, August.
    11. Ikeda, Shin S., 2019. "Illiquidity in the Japan electric power exchange," Journal of Commodity Markets, Elsevier, vol. 14(C), pages 16-39.
    12. Mendieta-Muñoz, Ivan, 2017. "On The Interaction Between Economic Growth And Business Cycles," Macroeconomic Dynamics, Cambridge University Press, vol. 21(4), pages 982-1022, June.
    13. Michael Bleaney & Zhiyong Li, 2016. "A new spread estimator," Review of Quantitative Finance and Accounting, Springer, vol. 47(1), pages 179-211, July.
    14. Zhao, Wandi & Gao, Yang & Wang, Mingjin, 2022. "Measuring liquidity with return volatility: An analytical approach based on heavy-tailed Censored-GARCH model," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    15. Mario Anolli & Giovanni Petrella, 2008. "Qualità della negoziazione e tutela dell'investitore," Rivista di Politica Economica, SIPI Spa, vol. 98(1), pages 295-353, January-F.
    16. Gregory Connor & Lisa R. Goldberg & Robert A. Korajczyk, 2010. "Portfolio Risk Analysis," Economics Books, Princeton University Press, edition 1, number 9224.
    17. Lauter, Tobias & Prokopczuk, Marcel, 2022. "Measuring commodity market quality," Journal of Banking & Finance, Elsevier, vol. 145(C).
    18. Hausman, Jerry A. & Lo, Andrew W. & MacKinlay, A. Craig, 1992. "An ordered probit analysis of transaction stock prices," Journal of Financial Economics, Elsevier, vol. 31(3), pages 319-379, June.
    19. Craig W. Holden & Stacey Jacobsen & Avanidhar Subrahmanyam, 2014. "The Empirical Analysis of Liquidity," Foundations and Trends(R) in Finance, now publishers, vol. 8(4), pages 263-365, December.
    20. Biais, Bruno & Glosten, Larry & Spatt, Chester, 2005. "Market microstructure: A survey of microfoundations, empirical results, and policy implications," Journal of Financial Markets, Elsevier, vol. 8(2), pages 217-264, May.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:oup:ajagec:v:93:y:2010:i:1:p:209-225. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.