IDEAS home Printed from https://ideas.repec.org/a/wly/ajagec/v103y2021i2p743-764.html
   My bibliography  Save this article

Resilience in “Flash Events” in the Corn and Lean Hog Futures Markets

Author

Listed:
  • Xinyue He
  • Teresa Serra
  • Philip Garcia

Abstract

The Commodity Futures Trading Commission (CFTC) recently identified large intra‐day price changes or “flash events” in continuously traded commodity futures markets. These flash events fueled discussion on whether futures markets are becoming less effective as human intervention is diminishing in favor of automated trading. Using intra‐day data, we examine liquidity resilience during “flash events” in corn and lean hog futures markets from 2014 to 2019. Overall, we find little evidence that the liquidity provision in these two markets relative to normal days becomes fragile when large price movements occur. Our analysis suggests that flash events are heavily influenced by unanticipated changes in fundamentals that may lead to a new equilibrium price. Liquidity dynamics during these events supports the view that active market making helps absorb the increased volume and stabilize markets.

Suggested Citation

  • 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.
  • Handle: RePEc:wly:ajagec:v:103:y:2021:i:2:p:743-764
    DOI: 10.1111/ajae.12146
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/ajae.12146
    Download Restriction: no

    File URL: https://libkey.io/10.1111/ajae.12146?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Zhepeng Hu & Mindy Mallory & Teresa Serra & Philip Garcia, 2020. "Measuring price discovery between nearby and deferred contracts in storable and nonstorable commodity futures markets," Agricultural Economics, International Association of Agricultural Economists, vol. 51(6), pages 825-840, November.
    2. Thierry Foucault & Ohad Kadan & Eugene Kandel, 2005. "Limit Order Book as a Market for Liquidity," The Review of Financial Studies, Society for Financial Studies, vol. 18(4), pages 1171-1217.
    3. Kavajecz, Kenneth A & Odders-White, Elizabeth R, 2001. "An Examination of Changes in Specialists' Posted Price Schedules," The Review of Financial Studies, Society for Financial Studies, vol. 14(3), pages 681-704.
    4. Hasbrouck, Joel, 1991. "Measuring the Information Content of Stock Trades," Journal of Finance, American Finance Association, vol. 46(1), pages 179-207, March.
    5. Kenneth A. Kavajecz, 1999. "A Specialist's Quoted Depth and the Limit Order Book," Journal of Finance, American Finance Association, vol. 54(2), pages 747-771, April.
    6. Manganelli, Simone, 2005. "Duration, volume and volatility impact of trades," Journal of Financial Markets, Elsevier, vol. 8(4), pages 377-399, November.
    7. Karali, Berna, 2012. "Do USDA Announcements Affect Comovements Across Commodity Futures Returns?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 37(1), pages 1-21, April.
    8. Bessembinder, Hendrik & Seguin, Paul J., 1993. "Price Volatility, Trading Volume, and Market Depth: Evidence from Futures Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 28(1), pages 21-39, March.
    9. Stoll, Hans R, 1978. "The Supply of Dealer Services in Securities Markets," Journal of Finance, American Finance Association, vol. 33(4), pages 1133-1151, September.
    10. O'Hara, Maureen & Oldfield, George S., 1986. "The Microeconomics of Market Making," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 21(4), pages 361-376, December.
    11. Bruno Biais & Fany Declerck & Sophie Moinas, 2016. "Who supplies liquidity, how and when?," BIS Working Papers 563, Bank for International Settlements.
    12. 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.
    13. repec:ags:jrapmc:122315 is not listed on IDEAS
    14. Ronald W. Anderson, 1985. "Some determinants of the volatility of futures prices," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 5(3), pages 331-348, September.
    15. Harris, Lawrence E, 1994. "Minimum Price Variations, Discrete Bid-Ask Spreads, and Quotation Sizes," The Review of Financial Studies, Society for Financial Studies, vol. 7(1), pages 149-178.
    16. Leal, Sandrine Jacob & Napoletano, Mauro, 2019. "Market stability vs. market resilience: Regulatory policies experiments in an agent-based model with low- and high-frequency trading," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 15-41.
    17. Alvaro Escribano & Roberto Pascual, 2008. "Asymmetries in bid and ask responses to innovations in the trading process," Studies in Empirical Economics, in: Luc Bauwens & Winfried Pohlmeier & David Veredas (ed.), High Frequency Financial Econometrics, pages 49-82, Springer.
    18. 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.
    19. Ben R. Marshall & Nhut H. Nguyen & Nuttawat Visaltanachoti, 2012. "Commodity Liquidity Measurement and Transaction Costs," The Review of Financial Studies, Society for Financial Studies, vol. 25(2), pages 599-638.
    20. Easley, David & O'Hara, Maureen, 1987. "Price, trade size, and information in securities markets," Journal of Financial Economics, Elsevier, vol. 19(1), pages 69-90, September.
    21. Hautsch, Nikolaus & Huang, Ruihong, 2012. "The market impact of a limit order," Journal of Economic Dynamics and Control, Elsevier, vol. 36(4), pages 501-522.
    22. Xiaoyang Wang & Philip Garcia & Scott H. Irwin, 2020. "Is the corn futures market noisier? The impact of high frequency quoting," Applied Economics, Taylor & Francis Journals, vol. 52(25), pages 2730-2750, May.
    23. 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.
    24. B. Wade Brorsen, 1989. "Liquidity costs and scalping returns in the corn futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 9(3), pages 225-236, June.
    25. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    26. Michael K Adjemian & Scott H Irwin, 2018. "USDA Announcement Effects in Real-Time," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 100(4), pages 1151-1171.
    27. 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.
    28. Martinez, Valeria & Gupta, Paramita & Tse, Yiuman & Kittiakarasakun, Jullavut, 2011. "Electronic versus open outcry trading in agricultural commodities futures markets," Review of Financial Economics, Elsevier, vol. 20(1), pages 28-36, January.
    29. Silber, William L, 1984. "Marketmaker Behavior in an Auction Market: An Analysis of Scalpers in Futures Markets," Journal of Finance, American Finance Association, vol. 39(4), pages 937-953, September.
    30. Easley, David & O'Hara, Maureen, 1992. "Time and the Process of Security Price Adjustment," Journal of Finance, American Finance Association, vol. 47(2), pages 576-605, June.
    31. Hans Degryse & Frank De Jong & Maarten Van Ravenswaaij & Gunther Wuyts, 2005. "Aggressive Orders and the Resiliency of a Limit Order Market," Review of Finance, European Finance Association, vol. 9(2), pages 201-242.
    32. 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.
    33. Lee, Charles M C & Mucklow, Belinda & Ready, Mark J, 1993. "Spreads, Depths, and the Impact of Earnings Information: An Intraday Analysis," The Review of Financial Studies, Society for Financial Studies, vol. 6(2), pages 345-374.
    34. Biais, Bruno & Hillion, Pierre & Spatt, Chester, 1995. "An Empirical Analysis of the Limit Order Book and the Order Flow in the Paris Bourse," Journal of Finance, American Finance Association, vol. 50(5), pages 1655-1689, December.
    35. Amini, Shima & Gebka, Bartosz & Hudson, Robert & Keasey, Kevin, 2013. "A review of the international literature on the short term predictability of stock prices conditional on large prior price changes: Microstructure, behavioral and risk related explanations," International Review of Financial Analysis, Elsevier, vol. 26(C), pages 1-17.
    36. Hendershott, Terrence & Riordan, Ryan, 2013. "Algorithmic Trading and the Market for Liquidity," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(4), pages 1001-1024, August.
    37. Lo, Danny K. & Hall, Anthony D., 2015. "Resiliency of the limit order book," Journal of Economic Dynamics and Control, Elsevier, vol. 61(C), pages 222-244.
    38. Kishore Joseph & Philip Garcia, 2018. "Intraday market effects in electronic soybean futures market during non-trading and trading hour announcements," Applied Economics, Taylor & Francis Journals, vol. 50(11), pages 1188-1202, March.
    39. Menkhoff, Lukas & Schmeling, Maik, 2010. "Whose trades convey information? Evidence from a cross-section of traders," Journal of Financial Markets, Elsevier, vol. 13(1), pages 101-128, February.
    40. Large, Jeremy, 2007. "Measuring the resiliency of an electronic limit order book," Journal of Financial Markets, Elsevier, vol. 10(1), pages 1-25, February.
    41. 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.
    42. Hasbrouck, Joel, 1988. "Trades, quotes, inventories, and information," Journal of Financial Economics, Elsevier, vol. 22(2), pages 229-252, December.
    43. 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.
    44. Manaster, Steven & Mann, Steven C, 1996. "Life in the Pits: Competitive Market Making and Inventory Control," The Review of Financial Studies, Society for Financial Studies, vol. 9(3), pages 953-975.
    45. Shah, Samarth & Brorsen, B. Wade, 2011. "Electronic vs. Open Outcry: Side-by-Side Trading of KCBT Wheat Futures," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 36(1), pages 1-15, April.
    46. Anabelle Couleau & Teresa Serra & Philip Garcia, 2019. "Microstructure Noise and Realized Variance in the Live Cattle Futures Market," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 101(2), pages 563-578.
    47. David Kenyon & Kenneth Kling & Jim Jordan & William Seale & Nancy McCabe, 1987. "Factors affecting agricultural futures price variance," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 7(1), pages 73-91, February.
    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. Rubbaniy, Ghulame & Khalid, Ali Awais & Syriopoulos, Konstantinos & Samitas, Aristeidis, 2022. "Safe-haven properties of soft commodities during times of Covid-19," Journal of Commodity Markets, Elsevier, vol. 27(C).
    2. 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.

    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. Jun (Tony) Ruan & Tongshu Ma, 2017. "Bid-Ask Spread, Quoted Depths, and Unexpected Duration Between Trades," Journal of Financial Services Research, Springer;Western Finance Association, vol. 51(3), pages 385-436, June.
    2. 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.
    3. Danny Lo, 2015. "Essays in Market Microstructure and Investor Trading," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 4-2015, January-A.
    4. Jagjeev Dosanjh, 2017. "Exchange Initiatives and Market Efficiency: Evidence from the Australian Securities Exchange," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2017, January-A.
    5. Danny Lo, 2015. "Essays in Market Microstructure and Investor Trading," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 22, July-Dece.
    6. repec:uts:finphd:34 is not listed on IDEAS
    7. Goodhart, Charles A. E. & O'Hara, Maureen, 1997. "High frequency data in financial markets: Issues and applications," Journal of Empirical Finance, Elsevier, vol. 4(2-3), pages 73-114, June.
    8. G. Wuyts, 2007. "Stock Market Liquidity.Determinants and Implications," Review of Business and Economic Literature, KU Leuven, Faculty of Economics and Business (FEB), Review of Business and Economic Literature, vol. 0(2), pages 279-316.
    9. Vayanos, Dimitri & Wang, Jiang, 2013. "Market Liquidity—Theory and Empirical Evidence ," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1289-1361, Elsevier.
    10. Lepone, Andrew & Wong, Jin Boon, 2017. "Pseudo market-makers, market quality and the minimum tick size," International Review of Economics & Finance, Elsevier, vol. 47(C), pages 88-100.
    11. Pascual, Roberto, 2000. "Adverse selection costs, trading activity and liquidity in the NYSE: an empirical analysis in a dynamic context," UC3M Working papers. Economics 7276, Universidad Carlos III de Madrid. Departamento de Economía.
    12. Medina, Vicente & Pardo, Ángel & Pascual, Roberto, 2014. "The timeline of trading frictions in the European carbon market," Energy Economics, Elsevier, vol. 42(C), pages 378-394.
    13. Lyons, Richard K., 1995. "Tests of microstructural hypotheses in the foreign exchange market," Journal of Financial Economics, Elsevier, vol. 39(2-3), pages 321-351.
    14. Madhavan, Ananth, 2000. "Market microstructure: A survey," Journal of Financial Markets, Elsevier, vol. 3(3), pages 205-258, August.
    15. Daniel Havran & Kata Varadi, 2015. "Price Impact and the Recovery of the Limit Order Book: Why Should We Care About Informed Liquidity Providers?," CERS-IE WORKING PAPERS 1540, Institute of Economics, Centre for Economic and Regional Studies.
    16. Cebiroglu, Gökhan & Hautsch, Nikolaus & Horst, Ulrich, 2014. "Order exposure and liquidity coordination: Does hidden liquidity harm price efficiency?," CFS Working Paper Series 468, Center for Financial Studies (CFS).
    17. Lo, Danny K. & Hall, Anthony D., 2015. "Resiliency of the limit order book," Journal of Economic Dynamics and Control, Elsevier, vol. 61(C), pages 222-244.
    18. Pascual, Roberto, 1999. "How does liquidity behave? A multidimensional analysis of NYSE stocks," DEE - Working Papers. Business Economics. WB 6433, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    19. Mazza, Paolo, 2015. "Price dynamics and market liquidity: An intraday event study on Euronext," The Quarterly Review of Economics and Finance, Elsevier, vol. 56(C), pages 139-153.
    20. Engle, Robert F. & Patton, Andrew J., 2004. "Impacts of trades in an error-correction model of quote prices," Journal of Financial Markets, Elsevier, vol. 7(1), pages 1-25, January.
    21. Large, Jeremy, 2009. "A market-clearing role for inefficiency on a limit order book," Journal of Financial Economics, Elsevier, vol. 91(1), pages 102-117, January.

    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:wly:ajagec:v:103:y:2021:i:2:p:743-764. 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: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1111/(ISSN)1467-8276 .

    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.