IDEAS home Printed from https://ideas.repec.org/a/mnb/finrev/v18y2019i1p88-124.html
   My bibliography  Save this article

The Impact of Adverse Selection on Stock Exchange Specialists’ Price Quotation Strategy

Author

Listed:
  • Kira Muratov-Szabó

    (Corvinus University of Budapest)

  • Kata Váradi

    (Corvinus University of Budapest)

Abstract

This paper focuses on the activity of the specialists – one of the key participants in stock exchange trading. We attempt to model the price quotations of specialists in a modelling framework where some of the parties involved in the transactions may be informed, while others are uninformed “liquidity traders”. It is in this adverse selection modelling framework that, relying on the technique of Monte Carlo simulation, we seek an answer to the following research questions: how does adverse selection impact the price quotation of specialists; to what extent are prices and logreturns influenced by uncertainty; to what degree of accuracy can specialists determine the proportion of informed traders and liquidity traders from trading volumes? Our model confirmed that as soon as uncertainty subsided in the simulated market, the number of transactions, wealth and the stock portfolio started to grow, while price fluctuations began to decline and the standard deviation and the distribution of logreturns edged closer and closer to a normal distribution, which points to improving market efficiency.

Suggested Citation

  • Kira Muratov-Szabó & Kata Váradi, 2019. "The Impact of Adverse Selection on Stock Exchange Specialists’ Price Quotation Strategy," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 18(1), pages 88-124.
    • Handle: RePEc:mnb:finrev:v:18:y:2019:i:1:p:88-124
    as

    Download full text from publisher

    File URL: http://english.hitelintezetiszemle.hu/letoltes/fer-18-1-st4-muratov-szabo-varadi.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    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.
    Full references (including those not matched with items on IDEAS)

    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. Gur Huberman & Dominika Halka, 2001. "Systematic Liquidity," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 24(2), pages 161-178, June.
    2. Min-Hsien Chiang & Tsai-Yin Lin & Chih-Hsien Jerry Yu, 2009. "Liquidity Provision of Limit Order Trading in the Futures Market Under Bull and Bear Markets," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 36(7-8), pages 1007-1038.
    3. Li, Mingsheng & McCormick, Timothy & Zhao, Xin, 2005. "Order imbalance and liquidity supply: Evidence from the bubble burst of Nasdaq stocks," Journal of Empirical Finance, Elsevier, vol. 12(4), pages 533-555, September.
    4. João A. C. Santos & Pei Shao, 2023. "Investor Diversity and Liquidity in The Secondary Loan Market," Journal of Financial Services Research, Springer;Western Finance Association, vol. 63(3), pages 249-272, June.
    5. 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.
    6. Kee H. Chung & Mingsheng Li, 2003. "Adverse‐Selection Costs and the Probability of Information‐Based Trading," The Financial Review, Eastern Finance Association, vol. 38(2), pages 257-272, May.
    7. Tissaoui, Kais & Ftiti, Zied, 2016. "Liquidity, liquidity risk, and information flow: Lessons from an emerging market," Research in International Business and Finance, Elsevier, vol. 37(C), pages 28-48.
    8. Vo, Minh T., 2007. "Limit orders and the intraday behavior of market liquidity: Evidence from the Toronto stock exchange," Global Finance Journal, Elsevier, vol. 17(3), pages 379-396, March.
    9. 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.
    10. 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.
    11. 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.
    12. Yanyi Ye & Yun Wang & Xiaoguang Yang, 2022. "Bank loan information and information asymmetry in the stock market: evidence from China," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-28, December.
    13. Baruch, Shmuel & Panayides, Marios & Venkataraman, Kumar, 2017. "Informed trading and price discovery before corporate events," Journal of Financial Economics, Elsevier, vol. 125(3), pages 561-588.
    14. Bernhardt, Dan & Hughson, Eric, 2002. "Intraday trade in dealership markets," European Economic Review, Elsevier, vol. 46(9), pages 1697-1732, October.
    15. Malinova, Katya & Park, Andreas, 2014. "The impact of competition and information on intraday trading," Journal of Banking & Finance, Elsevier, vol. 44(C), pages 55-71.
    16. Vinay Patel, 2015. "Price Discovery in US and Australian Stock and Options Markets," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 27, July-Dece.
    17. Qin Wang & Hsiao-Fen Yang, 2015. "Earnings announcements, trading volume, and price discovery: evidence from dual class firms," Review of Quantitative Finance and Accounting, Springer, vol. 44(4), pages 669-700, May.
    18. Chordia, Tarun & Roll, Richard & Subrahmanyam, Avanidhar, 2000. "Commonality in liquidity," Journal of Financial Economics, Elsevier, vol. 56(1), pages 3-28, April.
    19. 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.
    20. Zhang, Michael Yuanjie & Russell, Jeffrey R. & Tsay, Ruey S., 2008. "Determinants of bid and ask quotes and implications for the cost of trading," Journal of Empirical Finance, Elsevier, vol. 15(4), pages 656-678, September.

    More about this item

    Keywords

    specialist; price quotation; adverse selection;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

    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:mnb:finrev:v:18:y:2019:i:1:p:88-124. 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: Morvay Endre (email available below). General contact details of provider: https://edirc.repec.org/data/mnbgvhu.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.