IDEAS home Printed from https://ideas.repec.org/a/bla/jfnres/v19y1996i4p459-476.html
   My bibliography  Save this article

PERFORMANCE OF STOLL's SPREAD COMPONENT ESTIMATOR: EVIDENCE FROM SIMULATIONS, TIME-SERIES, AND CROSS-SECTIONAL DATA

Author

Listed:
  • Raymond Brooks
  • Jean Masson

Abstract

No abstract is available for this item.

Suggested Citation

  • Raymond Brooks & Jean Masson, 1996. "PERFORMANCE OF STOLL's SPREAD COMPONENT ESTIMATOR: EVIDENCE FROM SIMULATIONS, TIME-SERIES, AND CROSS-SECTIONAL DATA," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 19(4), pages 459-476, December.
    • Handle: RePEc:bla:jfnres:v:19:y:1996:i:4:p:459-476
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.1475-6803.1996.tb00225.x
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    References listed on IDEAS

    as
    1. Pei-Hwang Wei, 1992. "Intraday Variations In Trading Activity, Price Variability, And The Bid-Ask Spread," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 15(3), pages 265-276, September.
    2. Adrian Pagan, 1986. "Two Stage and Related Estimators and Their Applications," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 53(4), pages 517-538.
    3. George, Thomas J & Kaul, Gautam & Nimalendran, M, 1991. "Estimation of the Bid-Ask Spread and Its Components: A New Approach," The Review of Financial Studies, Society for Financial Studies, vol. 4(4), pages 623-656.
    4. 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.
    5. Affleck-Graves, John & Hegde, Shantaram P & Miller, Robert E, 1994. "Trading Mechanisms and the Components of the Bid-Ask Spread," Journal of Finance, American Finance Association, vol. 49(4), pages 1471-1488, September.
    6. Wei, Pei-Hwang, 1992. "Intraday Variations in Trading Activity, Price Variability, and the Bid-Ask Spread," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 15(3), pages 265-276, Fall.
    7. Harris, Lawrence, 1990. "Statistical Properties of the Roll Serial Covariance Bid/Ask Spread Estimator," Journal of Finance, American Finance Association, vol. 45(2), pages 579-590, June.
    8. Pagan, Adrian, 1984. "Econometric Issues in the Analysis of Regressions with Generated Regressors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 25(1), pages 221-247, February.
    9. 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.
    10. repec:bla:jfinan:v:44:y:1989:i:1:p:115-34 is not listed on IDEAS
    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. Menyah, Kojo & Paudyal, Krishna, 2000. "The components of bid-ask spreads on the London Stock Exchange," Journal of Banking & Finance, Elsevier, vol. 24(11), pages 1767-1785, November.
    2. Hansch, Oliver, 2004. "The cross-sectional determinants of inventory control and the subtle effects of ADRs," Journal of Banking & Finance, Elsevier, vol. 28(8), pages 1915-1933, August.
    3. Dar-Hsin Chen & Lloyd P. Blenman, 2003. "An Extended Model of Serial Covariance Bid-Ask Spreads," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 2(1), pages 75-83, April.

    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. 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.
    2. Tapia, Mikel & Pascual, Roberto & Escribano, Álvaro, 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.
    3. Escribano, Álvaro & Tapia, Mikel & 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.
    4. Lin, Ji-Chai & Sanger, Gary C. & Geoffrey Booth, G., 1998. "External information costs and the adverse selection problem: A comparison of NASDAQ and NYSE stocks," International Review of Financial Analysis, Elsevier, vol. 7(2), pages 113-136.
    5. 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.
    6. Pierre-Cyrille Hautcoeur & Amir Rezaee & Angelo Riva, 2023. "Competition between securities markets: stock exchange industry regulation in the Paris financial center at the turn of the twentieth century," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 17(2), pages 261-299, May.
    7. Flannery, Mark J. & Kwan, Simon H. & Nimalendran, M., 2004. "Market evidence on the opaqueness of banking firms' assets," Journal of Financial Economics, Elsevier, vol. 71(3), pages 419-460, March.
    8. Bart Frijns & Aaron Gilbert & Alireza Tourani‐Rad, 2008. "Insider Trading, Regulation, And The Components Of The Bid–Ask Spread," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 31(3), pages 225-246, September.
    9. Huang, Roger D. & Stoll, Hans R., 1996. "Dealer versus auction markets: A paired comparison of execution costs on NASDAQ and the NYSE," Journal of Financial Economics, Elsevier, vol. 41(3), pages 313-357, July.
    10. Andres, Christian & Cumming, Douglas & Karabiber, Timur & Schweizer, Denis, 2014. "Do markets anticipate capital structure decisions? — Feedback effects in equity liquidity," Journal of Corporate Finance, Elsevier, vol. 27(C), pages 133-156.
    11. Craig Pirrong, 1996. "Market liquidity and depth on computerized and open outcry trading systems: A comparison of DTB and LIFFE bund contracts," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 16(5), pages 519-543, August.
    12. Huang, Roger D. & Ting, Christopher, 2008. "A functional approach to the price impact of stock trades and the implied true price," Journal of Empirical Finance, Elsevier, vol. 15(1), pages 1-16, January.
    13. Flannery, Mark J. & Kwan, Simon H. & Nimalendran, Mahendrarajah, 2013. "The 2007–2009 financial crisis and bank opaqueness," Journal of Financial Intermediation, Elsevier, vol. 22(1), pages 55-84.
    14. Li, Zhiyong & Lambe, Brendan & Adegbite, Emmanuel, 2018. "New bid-ask spread estimators from daily high and low prices," International Review of Financial Analysis, Elsevier, vol. 60(C), pages 69-86.
    15. Araújo, Gustavo Silva & Barbedo, Claudio Henrique da S. & Vicente, José Valentim M., 2014. "The adverse selection cost component of the spread of Brazilian stocks," Emerging Markets Review, Elsevier, vol. 21(C), pages 21-41.
    16. Francis Breedon & Allison Holland, 1998. "Electronic versus open outcry markets: The case of the Bund futures contract," Bank of England working papers 76, Bank of England.
    17. Ivanov, Stoyu I., 2016. "Analysis of ETF bid-ask spread components," The Quarterly Review of Economics and Finance, Elsevier, vol. 61(C), pages 249-259.
    18. Lamoureux, Christopher G. & Wang, Qin, 2015. "Measuring private information in a specialist market," Journal of Empirical Finance, Elsevier, vol. 30(C), pages 92-119.
    19. George Tannous & Juan Wang & Craig Wilson, 2013. "The Intraday Pattern of Information Asymmetry, Spread, and Depth: Evidence from the NYSE," International Review of Finance, International Review of Finance Ltd., vol. 13(2), pages 215-240, June.
    20. K. Nyholm, 1999. "Estimation of the effective bid-ask spread on high frequency Danish bond data," The European Journal of Finance, Taylor & Francis Journals, vol. 5(2), pages 109-122.

    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:bla:jfnres:v:19:y:1996:i:4:p:459-476. 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://edirc.repec.org/data/sfaaaea.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.