IDEAS home Printed from https://ideas.repec.org/p/dkn/ecomet/fe_2015_06.html
   My bibliography  Save this paper

New empirical evidence on the bid-ask spread

Author

Listed:
  • Narayan, Paresh Kumar
  • Mishra, Sagarika
  • Narayan, Seema

Abstract

In this article, we model the determinants of spread for 734 firms listed on the NYSE over the period 1 January 1998 to 31 December 2008. We propose a panel data model of the determinants of spread. There are four main messages emerging from our work. We find a statistically significant effect of volume on spread inconsistent with the work of Johnson (2008). On price, we find mixed results, consistent with the literature. On the effect of price volatility on spread, our results are completely the opposite of the cross-sectional literature but sides with the relatively recent work of Chordia et al. (2001). We allow for persistence of spread as a determinant of spread and find significant evidence of spread persistence across all 16 sectors. Finally, we examine size effects and find statistically strong evidence of size effects based on the relationship between price and spread, persistence and spread, and volatility and spread.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Narayan, Paresh Kumar & Mishra, Sagarika & Narayan, Seema, 2015. "New empirical evidence on the bid-ask spread," Working Papers fe_2015_06, Deakin University, Department of Economics.
  • Handle: RePEc:dkn:ecomet:fe_2015_06
    DOI: 10.1080/00036846.2015.1031870
    as

    Download full text from publisher

    File URL: http://www.dx.doi.org/10.1080/00036846.2015.1031870
    Download Restriction: no

    File URL: https://libkey.io/10.1080/00036846.2015.1031870?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
    ---><---

    Other versions of 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. A. Ronald Gallant & Chien-Te Hsu & George Tauchen, 1999. "Using Daily Range Data To Calibrate Volatility Diffusions And Extract The Forward Integrated Variance," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 617-631, November.
    3. Garman, Mark B & Klass, Michael J, 1980. "On the Estimation of Security Price Volatilities from Historical Data," The Journal of Business, University of Chicago Press, vol. 53(1), pages 67-78, January.
    4. 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.
    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. Narayan, Paresh Kumar & Mishra, Sagarika & Narayan, Seema, 2011. "Do market capitalization and stocks traded converge? New global evidence," Journal of Banking & Finance, Elsevier, vol. 35(10), pages 2771-2781, October.
    7. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    8. Brock, William A. & Kleidon, Allan W., 1992. "Periodic market closure and trading volume : A model of intraday bids and asks," Journal of Economic Dynamics and Control, Elsevier, vol. 16(3-4), pages 451-489.
    9. 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.
    10. John C. Driscoll & Aart C. Kraay, 1998. "Consistent Covariance Matrix Estimation With Spatially Dependent Panel Data," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 549-560, November.
    11. Mitchell A. Petersen & Raghuram G. Rajan, 1995. "The Effect of Credit Market Competition on Lending Relationships," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(2), pages 407-443.
    12. Copeland, Thomas E & Galai, Dan, 1983. "Information Effects on the Bid-Ask Spread," Journal of Finance, American Finance Association, vol. 38(5), pages 1457-1469, December.
    13. Phillips, Peter C.B. & Sul, Donggyu, 2007. "Bias in dynamic panel estimation with fixed effects, incidental trends and cross section dependence," Journal of Econometrics, Elsevier, vol. 137(1), pages 162-188, March.
    14. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    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. Sagi, Jacob S. & Seasholes, Mark S., 2007. "Firm-specific attributes and the cross-section of momentum," Journal of Financial Economics, Elsevier, vol. 84(2), pages 389-434, May.
    17. Huang, Roger D & Stoll, Hans R, 1997. "The Components of the Bid-Ask Spread: A General Approach," The Review of Financial Studies, Society for Financial Studies, vol. 10(4), pages 995-1034.
    18. Banz, Rolf W., 1981. "The relationship between return and market value of common stocks," Journal of Financial Economics, Elsevier, vol. 9(1), pages 3-18, March.
    19. Narayan, Paresh Kumar, 2008. "Do shocks to G7 stock prices have a permanent effect?," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 77(4), pages 369-373.
    20. Narayan, Paresh Kumar & Sharma, Susan Sunila, 2011. "New evidence on oil price and firm returns," Journal of Banking & Finance, Elsevier, vol. 35(12), pages 3253-3262.
    21. Bollerslev, Tim & Engle, Robert F, 1993. "Common Persistence in Conditional Variances," Econometrica, Econometric Society, vol. 61(1), pages 167-186, January.
    22. Parkinson, Michael, 1980. "The Extreme Value Method for Estimating the Variance of the Rate of Return," The Journal of Business, University of Chicago Press, vol. 53(1), pages 61-65, January.
    23. Chunhachinda, Pornchai & Dandapani, Krishnan & Hamid, Shahid & Prakash, Arun J., 1997. "Portfolio selection and skewness: Evidence from international stock markets," Journal of Banking & Finance, Elsevier, vol. 21(2), pages 143-167, February.
    24. Tinic, Seha M. & West, Richard R., 1972. "Competition and the Pricing of Dealer Service in the Over-the-Counter Stock Market," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 7(3), pages 1707-1727, June.
    25. Seha M. Tinic, 1972. "The Economics of Liquidity Services," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 86(1), pages 79-93.
    26. Roll, Richard & Subrahmanyam, Avanidhar, 2010. "Liquidity skewness," Journal of Banking & Finance, Elsevier, vol. 34(10), pages 2562-2571, October.
    27. Chun, Hyunbae & Kim, Jung-Wook & Morck, Randall & Yeung, Bernard, 2008. "Creative destruction and firm-specific performance heterogeneity," Journal of Financial Economics, Elsevier, vol. 89(1), pages 109-135, July.
    28. Wei, Jason & Zheng, Jinguo, 2010. "Trading activity and bid-ask spreads of individual equity options," Journal of Banking & Finance, Elsevier, vol. 34(12), pages 2897-2916, December.
    29. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    30. Froot, Kenneth A & Scharfstein, David S & Stein, Jeremy C, 1993. "Risk Management: Coordinating Corporate Investment and Financing Policies," Journal of Finance, American Finance Association, vol. 48(5), pages 1629-1658, December.
    31. Simkowitz, Michael A. & Beedles, William L., 1978. "Diversification in a Three-Moment World," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 13(5), pages 927-941, December.
    32. Hamilton, James L., 1976. "Competition, Scale Economies, and Transaction Cost in the Stock Market," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 11(5), pages 779-802, December.
    33. 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.
    34. Vickery, James, 2008. "How and why do small firms manage interest rate risk," Journal of Financial Economics, Elsevier, vol. 87(2), pages 446-470, 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. Berk, Ales S. & Cummins, Mark & Dowling, Michael & Lucey, Brian M., 2017. "Psychological price barriers in frontier equities," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 49(C), pages 1-14.
    2. 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.
    3. Черкасова Виктория Артуровна & Дуняшева Регина Фаритовна, 2016. "Инвестиционные Решения Компаний В Условиях Асимметрии Информации," Higher School of Economics Economic Journal Экономический журнал Высшей школы экономики, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 20(4), pages 655-690.

    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. 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.
    2. repec:uts:finphd:34 is not listed on IDEAS
    3. Narayan, Paresh Kumar & Mishra, Sagarika & Narayan, Seema, 2014. "Spread determinants and the day-of-the-week effect," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(1), pages 51-60.
    4. Koopman, S.J.M. & Lai, H.N., 1998. "Modelling bid-ask spreads in competitive dealership markets," Other publications TiSEM 7a193911-dbf2-4831-ac8d-9, Tilburg University, School of Economics and Management.
    5. Gkillas, Konstantinos & Vortelinos, Dimitrios I. & Babalos, Vassilios & Wohar, Mark E., 2021. "Day-of-the-week effect and spread determinants: Some international evidence from equity markets," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 268-288.
    6. Pascual, Roberto & Escribano, Álvaro & Tapia, Mikel, 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.
    7. 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.
    8. M. Frömmel & F Van Gysegem, 2014. "Bid-Ask Spread Components on the Foreign Exchange Market: Quantifying the Risk Component," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 14/878, Ghent University, Faculty of Economics and Business Administration.
    9. Sharma, Susan Sunila & Narayan, Paresh Kumar & Zheng, Xinwei, 2014. "An analysis of firm and market volatility," Economic Systems, Elsevier, vol. 38(2), pages 205-220.
    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. Haykir, Ozkan & Yagli, Ibrahim & Aktekin Gok, Emine Dilara & Budak, Hilal, 2022. "Oil price explosivity and stock return: Do sector and firm size matter?," Resources Policy, Elsevier, vol. 78(C).
    12. Aritra Pan & Arun Kumar Misra, 2022. "Assessment of Asymmetric Information Cost in Indian Stock Market: A Sectoral Approach," Global Business Review, International Management Institute, vol. 23(2), pages 512-535, April.
    13. Zhang, Yue, 2015. "The securitization of gold and its potential impact on gold stocks," Journal of Banking & Finance, Elsevier, vol. 58(C), pages 309-326.
    14. Aritra Pan & Arun Kumar Misra & David McMillan, 2021. "A comprehensive study on bid-ask spread and its determinants in India," Cogent Economics & Finance, Taylor & Francis Journals, vol. 9(1), pages 1898735-189, January.
    15. Yu Chuan Huang, 2004. "The components of bid‐ask spread and their determinants: TAIFEX versus SGX‐DT," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 24(9), pages 835-860, September.
    16. Ripamonti, Alexandre, 2016. "Corwin-Schultz bid-ask spread estimator in the Brazilian stock market," MPRA Paper 79459, University Library of Munich, Germany.
    17. deB. Harris, Frederick H. & McInish, Thomas H. & Chakravarty, Ranjan R., 1995. "Bids and asks in disequilibrium market microstructure: The case of IBM," Journal of Banking & Finance, Elsevier, vol. 19(2), pages 323-345, May.
    18. 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.
    19. Pronk, M., 2002. "Market liquidity around earnings announcements," Other publications TiSEM 3e22cd8d-f7eb-4c28-9275-8, Tilburg University, School of Economics and Management.
    20. Peppel-Srebrny, Jemima, 2021. "Not all government budget deficits are created equal: Evidence from advanced economies' sovereign bond markets," Journal of International Money and Finance, Elsevier, vol. 118(C).
    21. Cheng Hsiao, 2007. "Panel data analysis—advantages and challenges," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 16(1), pages 1-22, May.

    More about this item

    Keywords

    Bid-Ask Spread; NYSE Panel Data;

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:dkn:ecomet:fe_2015_06. 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: Xueli Tang (email available below). General contact details of provider: https://edirc.repec.org/data/sedeaau.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.