IDEAS home Printed from https://ideas.repec.org/a/sae/ausman/v23y1998i1p39-55.html
   My bibliography  Save this article

Evidence of Price Change Volatility Induced by the Number and Proportion of Orders of a Given Size

Author

Listed:
  • David M. Walsh

    (Department of Accounting and Finance, The University of Western Australia, Nedlands WA 6907, E†mail: dwalsh@ecel.uwa.edu.au)

Abstract

We examine the contribution of order flow parameters (order size, number of orders and proportions of orders conditioned on order size) to the volatility of price change. To a lesser extent, we also examine the impact of these parameters on the mean of price change. Innovations in this study include the use of orders rather than trades and the testing of robustness of results across calendar and transaction time sampling. We find that: (a) there is a positive correlation between the number of orders, of any size, and volatility; (b) the price change in each order size category increases as order size increases; (c) number and proportion of orders are uncorrelated with price change per se; and (d) volatility appears negatively correlated with the proportion of small orders, uncorrelated with the proportion of medium†sized orders, and positively correlated with the proportion of large orders.

Suggested Citation

  • David M. Walsh, 1998. "Evidence of Price Change Volatility Induced by the Number and Proportion of Orders of a Given Size," Australian Journal of Management, Australian School of Business, vol. 23(1), pages 39-55, June.
  • Handle: RePEc:sae:ausman:v:23:y:1998:i:1:p:39-55
    DOI: 10.1177/031289629802300103
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/031289629802300103
    Download Restriction: no

    File URL: https://libkey.io/10.1177/031289629802300103?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. Hasbrouck, Joel, 1991. "Measuring the Information Content of Stock Trades," Journal of Finance, American Finance Association, vol. 46(1), pages 179-207, March.
    2. Holthausen, Robert W. & Leftwich, Richard W. & Mayers, David, 1987. "The effect of large block transactions on security prices: A cross-sectional analysis," Journal of Financial Economics, Elsevier, vol. 19(2), pages 237-267, December.
    3. Holthausen, Robert W. & Leftwich, Richard W. & Mayers, David, 1990. "Large-block transactions, the speed of response, and temporary and permanent stock-price effects," Journal of Financial Economics, Elsevier, vol. 26(1), pages 71-95, July.
    4. Jensen, Michael C, 1969. "Risk, The Pricing of Capital Assets, and the Evaluation of Investment Portfolios," The Journal of Business, University of Chicago Press, vol. 42(2), pages 167-247, April.
    5. Harris, Lawrence, 1986. "Cross-Security Tests of the Mixture of Distributions Hypothesis," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 21(1), pages 39-46, March.
    6. Jones, Charles M & Kaul, Gautam & Lipson, Marc L, 1994. "Transactions, Volume, and Volatility," The Review of Financial Studies, Society for Financial Studies, vol. 7(4), pages 631-651.
    7. Schwert, G William, 1990. "Stock Volatility and the Crash of '87," The Review of Financial Studies, Society for Financial Studies, vol. 3(1), pages 77-102.
    8. Lockwood, Larry J & Linn, Scott C, 1990. "An Examination of Stock Market Return Volatility during Overnight and Intraday Periods, 1964-1989," Journal of Finance, American Finance Association, vol. 45(2), pages 591-601, June.
    9. 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.
    10. 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.
    11. Barclay, Michael J. & Warner, Jerold B., 1993. "Stealth trading and volatility : Which trades move prices?," Journal of Financial Economics, Elsevier, vol. 34(3), pages 281-305, December.
    12. Kiefer, Nicholas M. & Salmon, Mark, 1983. "Testing normality in econometric models," Economics Letters, Elsevier, vol. 11(1-2), pages 123-127.
    13. Harris, Lawrence, 1987. "Transaction Data Tests of the Mixture of Distributions Hypothesis," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 22(2), pages 127-141, June.
    14. Beja, Avraham & Hakansson, Nils H, 1977. "Dynamic Market Processes and the Rewards to Up-to-Date Information," Journal of Finance, American Finance Association, vol. 32(2), pages 291-304, 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. Philip Brown & Andrew Ferguson & Sam Sherry, 2010. "Investor behaviour in response to Australia’s capital gains tax," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 50(4), pages 783-808, December.

    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. Alzahrani, Ahmed A. & Gregoriou, Andros & Hudson, Robert, 2013. "Price impact of block trades in the Saudi stock market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 23(C), pages 322-341.
    2. Randi Naes & Johannes A. Skjeltorp, 2003. "Strategic Investor Behaviour and the Volume-Volatility Relation in Equity Markets," Working Paper 2003/9, Norges Bank.
    3. 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.
    4. Kempf, Alexander & Korn, Olaf, 1999. "Market depth and order size1," Journal of Financial Markets, Elsevier, vol. 2(1), pages 29-48, February.
    5. Wang, Junbo & Wu, Chunchi, 2015. "Liquidity, credit quality, and the relation between volatility and trading activity: Evidence from the corporate bond market," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 183-203.
    6. Kempf, Alexander & Korn, Olaf, 1998. "Market depth and order size: an analysis of permanent price effects of DAX futures' trades," ZEW Discussion Papers 98-10, ZEW - Leibniz Centre for European Economic Research.
    7. A. Can Inci & Biao Lu & H. Nejat Seyhun, 2010. "Intraday Behavior of Stock Prices and Trades around Insider Trading," Financial Management, Financial Management Association International, vol. 39(1), pages 323-363, March.
    8. Lang, Larry H. P. & Lee, Yi Tsung, 1999. "Performance of various transaction frequencies under call markets: The case of Taiwan," Pacific-Basin Finance Journal, Elsevier, vol. 7(1), pages 23-39, February.
    9. Walsh, David M., 1997. "Price reaction to order flow 'news' in Australian equities," Pacific-Basin Finance Journal, Elsevier, vol. 5(1), pages 1-23, February.
    10. Alexander, Gordon J. & Peterson, Mark A., 2007. "An analysis of trade-size clustering and its relation to stealth trading," Journal of Financial Economics, Elsevier, vol. 84(2), pages 435-471, May.
    11. Xiufeng Yan, 2021. "Autoregressive conditional duration modelling of high frequency data," Papers 2111.02300, arXiv.org.
    12. Li, Wei & Wang, Steven Shuye, 2010. "Daily institutional trades and stock price volatility in a retail investor dominated emerging market," Journal of Financial Markets, Elsevier, vol. 13(4), pages 448-474, November.
    13. Sam Howison & David Lamper, 2001. "Trading volume in models of financial derivatives," Applied Mathematical Finance, Taylor & Francis Journals, vol. 8(2), pages 119-135.
    14. Roy A. Fletcher, 1993. "A Statistical Model Of Changes In Asset Prices Employing Intraday Data: A Recursive Approach," Review of Financial Economics, John Wiley & Sons, vol. 2(2), pages 43-58, March.
    15. Joseph Golec, 2007. "Are the Insider Trades of a Large Institutional Investor Informed?," The Financial Review, Eastern Finance Association, vol. 42(2), pages 161-190, May.
    16. Carl Hopman, 2007. "Do supply and demand drive stock prices?," Quantitative Finance, Taylor & Francis Journals, vol. 7(1), pages 37-53.
    17. 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.
    18. Bertsimas, Dimitris & Lo, Andrew W., 1998. "Optimal control of execution costs," Journal of Financial Markets, Elsevier, vol. 1(1), pages 1-50, April.
    19. Jinliang Li & Chunchi Wu, 2006. "Daily Return Volatility, Bid-Ask Spreads, and Information Flow: Analyzing the Information Content of Volume," The Journal of Business, University of Chicago Press, vol. 79(5), pages 2697-2740, September.
    20. 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.

    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:sae:ausman:v:23:y:1998:i:1:p:39-55. 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: SAGE Publications (email available below). General contact details of provider: http://www.agsm.edu.au .

    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.