IDEAS home Printed from https://ideas.repec.org/a/wly/jfutmk/v31y2011i12p1142-1169.html
   My bibliography  Save this article

Intraday price formation and bid–ask spread components: A new approach using a cross‐market model

Author

Listed:
  • Doojin Ryu

Abstract

This study examines the intraday formation process of transaction prices and bid–ask spreads in the KOSPI 200 futures market. By extending the structural model of Madhavan, A., Richardson, M., and Roomans, M. ( 1997 ), we develop a unique cross‐market model that can decompose spread components and explain intraday price formation for the futures market by using the order flow information from the KOSPI 200 options market, which is a market that is closely related to the futures market as well as considered to be one of the most remarkable options markets in the world. The empirical results indicate that the model‐implied spread and the permanent component of the spread that results from informed trading tend to be underestimated without the inclusion of options market information. Further, the results imply that trades of in‐the‐money options, which have high delta values, generally incur a more adverse information cost component (the permanent spread component) of the futures market than those of out‐of‐the‐money options, which have relatively low delta values. Finally, we find that the adverse information cost component that is estimated from the cross‐market model exhibits a nearly U‐shaped intraday pattern; however, it sharply decreases at the end of the trading day. © 2011 Wiley Periodicals, Inc. Jrl Fut Mark

Suggested Citation

  • Doojin Ryu, 2011. "Intraday price formation and bid–ask spread components: A new approach using a cross‐market model," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 31(12), pages 1142-1169, December.
  • Handle: RePEc:wly:jfutmk:v:31:y:2011:i:12:p:1142-1169
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ahn, Hee-Joon & Cai, Jun & Hamao, Yasushi & Ho, Richard Y. K., 2002. "The components of the bid-ask spread in a limit-order market: evidence from the Tokyo Stock Exchange," Journal of Empirical Finance, Elsevier, vol. 9(4), pages 399-430, November.
    2. Glosten, Lawrence R. & Harris, Lawrence E., 1988. "Estimating the components of the bid/ask spread," Journal of Financial Economics, Elsevier, vol. 21(1), pages 123-142, May.
    3. Sol Kim & In Joon Kim & Seung Oh Nam, 2009. "The lead‐lag relationship between stock index options and the stock index market," International Journal of Managerial Finance, Emerald Group Publishing Limited, vol. 5(3), pages 311-332, June.
    4. Nam, Seung Oh & Oh, SeungYoung & Kim, Hyun Kyung & Kim, Byung Chun, 2006. "An empirical analysis of the price discovery and the pricing bias in the KOSPI 200 stock index derivatives markets," International Review of Financial Analysis, Elsevier, vol. 15(4-5), pages 398-414.
    5. Hwang, Keunho & Kang, Jangkoo & Ryu, Doojin, 2010. "Phase-transition behavior in the emerging market: Evidence from the KOSPI200 futures market," International Review of Financial Analysis, Elsevier, vol. 19(1), pages 35-46, January.
    6. Madhavan, Ananth & Richardson, Matthew & Roomans, Mark, 1997. "Why Do Security Prices Change? A Transaction-Level Analysis of NYSE Stocks," The Review of Financial Studies, Society for Financial Studies, vol. 10(4), pages 1035-1064.
    7. Jae H. Min & Mohammad Najand, 1999. "A further investigation of the lead–lag relationship between the spot market and stock index futures: Early evidence from Korea," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 19(2), pages 217-232, April.
    8. repec:uts:ppaper:v:38:y:2009:i:3:p:455-489 is not listed on IDEAS
    9. Hee‐Joon Ahn & Jangkoo Kang & Doojin Ryu, 2008. "Informed trading in the index option market: The case of KOSPI 200 options," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 28(12), pages 1118-1146, December.
    10. Cyriel de Jong & Kees G. Koedijk & Charles R. Schnitzlein, 2006. "Stock Market Quality in the Presence of a Traded Option," The Journal of Business, University of Chicago Press, vol. 79(4), pages 2243-2274, July.
    11. 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.
    12. David Michayluk & Laurie Prather & Li-Anne E. Woo & Henry Y. K. Yip, 2009. "What Do Options Have to Do With It?: Inclusion of Options Market Indicators in Bid-ask Spread Decomposition," Published Paper Series 2009-1, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    13. Timotheos Angelidis & Alexandros Benos, 2009. "The Components of the Bid‐Ask Spread: the Case of the Athens Stock Exchange," European Financial Management, European Financial Management Association, vol. 15(1), pages 112-144, January.
    14. 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.
    15. Anat R. Admati, Paul Pfleiderer, 1988. "A Theory of Intraday Patterns: Volume and Price Variability," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 3-40.
    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. Chung, Kee H. & Park, Seongkyu “Gilbert” & Ryu, Doojin, 2016. "Trade duration, informed trading, and option moneyness," International Review of Economics & Finance, Elsevier, vol. 44(C), pages 395-411.
    2. Webb, Robert I. & Ryu, Doojin & Ryu, Doowon & Han, Joongho, 2016. "The price impact of futures trades and their intraday seasonality," Emerging Markets Review, Elsevier, vol. 26(C), pages 80-98.
    3. Ibrahim, Boulis Maher & Kalaitzoglou, Iordanis Angelos, 2016. "Why do carbon prices and price volatility change?," Journal of Banking & Finance, Elsevier, vol. 63(C), pages 76-94.
    4. Doojin Ryu, 2017. "Comprehensive market microstructure model: considering the inventory holding costs," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 18(2), pages 183-201, March.
    5. G. Wuyts, 2007. "Stock Market Liquidity.Determinants and Implications," Review of Business and Economic Literature, KU Leuven, Faculty of Economics and Business (FEB), Review of Business and Economic Literature, vol. 0(2), pages 279-316.
    6. 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.
    7. Doojin Ryu, 2013. "Spread and depth adjustment process: an analysis of high-quality microstructure data," Applied Economics Letters, Taylor & Francis Journals, vol. 20(16), pages 1506-1510, November.
    8. 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.
    9. Angelo Ranaldo, 2002. "Market Dynamics Around Public Information Arrivals," FAME Research Paper Series rp45, International Center for Financial Asset Management and Engineering.
    10. 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.
    11. 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.
    12. Lawrence Kryzanowski & Skander Lazrak, 2007. "Trading Activity, Trade Costs and Informed Trading for Acquisition Targets and Acquirers," The European Journal of Finance, Taylor & Francis Journals, vol. 13(5), pages 405-439.
    13. Ryu, Doojin, 2016. "Considering all microstructure effects: The extension of a trade indicator model," Economics Letters, Elsevier, vol. 146(C), pages 107-110.
    14. Kalaitzoglou, Iordanis Angelos & Ibrahim, Boulis Maher, 2023. "Market conditions and order-type preference," International Review of Financial Analysis, Elsevier, vol. 87(C).
    15. Martin Angerer & Georg Peter & Sebastian Stoeckl & Thomas Wachter & Matthias Bank & Marco Menichetti, 2018. "Bid-Ask Spread Patterns and the Optimal Timing for Discretionary Liquidity Traders on Xetra," Schmalenbach Business Review, Springer;Schmalenbach-Gesellschaft, vol. 70(3), pages 209-230, July.
    16. Chune Young Chung & Yunjae Lee & Doojin Ryu, 2017. "Do Domestic Institutional Trades Exacerbate Information Asymmetry? Evidence from the Korean Stock Market," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 24(4), pages 309-322, December.
    17. Gilbert, Aaron & Frijns, Bart & Tourani, Alireza-Rad, 2007. "Elements of Effective Insider Trading Laws," Working Paper Series 19073, Victoria University of Wellington, The New Zealand Institute for the Study of Competition and Regulation.
    18. 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, January-A.
    19. Lee, Jaeram & Lee, Geul & Ryu, Doojin, 2018. "Difference in the intraday return-volume relationships of spots and futures: A quantile regression approach," Economics Discussion Papers 2018-68, Kiel Institute for the World Economy (IfW Kiel).
    20. Guo, Fang & Zhou, Kaiguo & Cai, Jinghan, 2008. "Stock splits, liquidity, and information asymmetry--An empirical study on Tokyo Stock Exchange," Journal of the Japanese and International Economies, Elsevier, vol. 22(3), pages 417-438, September.

    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:wly:jfutmk:v:31:y:2011:i:12:p:1142-1169. 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: http://www.interscience.wiley.com/jpages/0270-7314/ .

    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.