IDEAS home Printed from https://ideas.repec.org/p/ags/aaea88/270296.html
   My bibliography  Save this paper

The Intraday Variability Of Soybean Futures Prices: Information And Trading Effects

Author

Listed:
  • Jordan, James V.
  • Seale, William E.
  • Dinehart, Steve
  • Kenyon, David E.

Abstract

The variance of soybean futures prices is more than thirty percent higher early and late in the trading day than during the middle of the day. The pattern may be caused by patterns in information arrival or by noise introduced by the very process of trading. In empirical tests, higher variance early in the day is found to be related to information released while the market is closed. Higher variance near the end of the day is found to be unrelated to information effects, but there is evidence that it is due to trading noise.

Suggested Citation

  • Jordan, James V. & Seale, William E. & Dinehart, Steve & Kenyon, David E., 1988. "The Intraday Variability Of Soybean Futures Prices: Information And Trading Effects," 1988 Annual Meeting, August 1-3, Knoxville, Tennessee 270296, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea88:270296
    DOI: 10.22004/ag.econ.270296
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/270296/files/aaea-1988-053.pdf
    Download Restriction: no

    File URL: https://ageconsearch.umn.edu/record/270296/files/aaea-1988-053.pdf?subformat=pdfa
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.270296?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. 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.
    2. French, Kenneth R. & Roll, Richard, 1986. "Stock return variances : The arrival of information and the reaction of traders," Journal of Financial Economics, Elsevier, vol. 17(1), pages 5-26, September.
    3. 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.
    4. Working, Holbrook, 1967. "Tests of a Theory Concerning Floor Trading on Commodity Exchanges," Food Research Institute Studies, Stanford University, Food Research Institute, vol. 7(Supplemen), pages 1-44.
    5. 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.
    6. Harris, Lawrence, 1986. "A transaction data study of weekly and intradaily patterns in stock returns," Journal of Financial Economics, Elsevier, vol. 16(1), pages 99-117, May.
    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. Tan, Oon Geok & Gannon, Gerard L., 2002. "'Information effect' of economic news: SPI futures," International Review of Financial Analysis, Elsevier, vol. 11(4), pages 467-489.
    2. David McMillan & Alan Speight, 2005. "Long-memory and heterogeneous components in high frequency Pacific-Basin exchange rate volatility," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 12(3), pages 199-226, September.

    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. Dinh, Minh Thi Hong, 2018. "The relationship between volume imbalance and spread," Research in International Business and Finance, Elsevier, vol. 44(C), pages 76-87.
    2. Jones, Charles M. & Kaul, Gautam & Lipson, Marc L., 1994. "Information, trading, and volatility," Journal of Financial Economics, Elsevier, vol. 36(1), pages 127-154, August.
    3. Hu, Shing-yang, 2006. "A simple estimate of noise and its determinant in a call auction market," International Review of Financial Analysis, Elsevier, vol. 15(4-5), pages 348-362.
    4. Bardong, Florian & Bartram, Söhnke M. & Yadav, Pradeep K., 2005. "Informed Trading, Information Asymmetry and Pricing of Information Risk: Empirical Evidence from the NYSE," MPRA Paper 13586, University Library of Munich, Germany, revised 10 Oct 2008.
    5. Gregory Connor & Lisa R. Goldberg & Robert A. Korajczyk, 2010. "Portfolio Risk Analysis," Economics Books, Princeton University Press, edition 1, number 9224.
    6. Lin, Chu-Bin & Chou, Robin K. & Wang, George H.K., 2018. "Investor sentiment and price discovery: Evidence from the pricing dynamics between the futures and spot markets," Journal of Banking & Finance, Elsevier, vol. 90(C), pages 17-31.
    7. Jos, van Bommel, 2011. "Measuring price discovery: The variance ratio, the R2, and the weighted price contribution," Finance Research Letters, Elsevier, vol. 8(3), pages 112-119, September.
    8. Oehler, Andreas & Häcker, Mirko, 2003. "Kurseinfluss mittlerer und großer Transaktionen am deutschen Aktienmarkt," Discussion Papers 20, University of Bamberg, Chair of Finance.
    9. Bildik, Recep, 2001. "Intra-day seasonalities on stock returns: evidence from the Turkish Stock Market," Emerging Markets Review, Elsevier, vol. 2(4), pages 387-417, December.
    10. Pascual, Roberto & Escribano, Álvaro & Tapia, Mikel, 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.
    11. 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.
    12. Joachim Grammig & Dirk Schiereck & Erik Theissen, 2000. "Informationsbasierter Aktienhandel über IBIS," Schmalenbach Journal of Business Research, Springer, vol. 52(7), pages 619-642, November.
    13. Sugato Chakravarty & Asani Sarkar & Lifan Wu, 1997. "Estimating the adverse selection cost in markets with multiple informed traders," Research Paper 9713, Federal Reserve Bank of New York.
    14. Oscar Jorda & Holly Liu & Jeffrey Williams, 2003. "Non-Institutional Market Making Behavior: The Dalian Futures Exchange," Working Papers 41, University of California, Davis, Department of Economics.
    15. de Jong, F.C.J.M. & Nijman, T.E. & Röell, A.A., 1996. "Price effects of trading and components of the bid-ask spread on the Paris Bourse," Other publications TiSEM 08f5fa19-14b7-4bc8-ba07-1, Tilburg University, School of Economics and Management.
    16. de Jong, Frank & Nijman, Theo, 1997. "High frequency analysis of lead-lag relationships between financial markets," Journal of Empirical Finance, Elsevier, vol. 4(2-3), pages 259-277, June.
    17. Linton, O. & Wu, J., 2016. "A coupled component GARCH model for intraday and overnight volatility," Cambridge Working Papers in Economics 1671, Faculty of Economics, University of Cambridge.
    18. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2015. "Wave function method to forecast foreign currencies exchange rates at ultra high frequency electronic trading in foreign currencies exchange markets," MPRA Paper 67470, University Library of Munich, Germany.
    19. Hautsch, Nikolaus & Pohlmeier, Winfried, 2001. "Econometric Analysis of Financial Transaction Data: Pitfalls and Opportunities," CoFE Discussion Papers 01/05, University of Konstanz, Center of Finance and Econometrics (CoFE).
    20. de Jong, Frank & Nijman, Theo & Roell, Ailsa, 1996. "Price effects of trading and components of the bid-ask spread on the Paris Bourse," Journal of Empirical Finance, Elsevier, vol. 3(2), pages 193-213, June.

    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:ags:aaea88:270296. 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: AgEcon Search (email available below). General contact details of provider: http://www.aaea.org .

    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.