IDEAS home Printed from https://ideas.repec.org/p/gmf/wpaper/2012-04.html
   My bibliography  Save this paper

The Relative Contemporaneous Information Response: A New Cointegration-Based Measure of Price Discovery

Author

Listed:
  • Helder Sebastião

    (Faculty of Economics University of Coimbra and GEMF)

Abstract

This paper describes the cointegration-based technologies commonly used to assess the relative price discovery across markets, namely the Hasbrouck information shares and Gonzalo-Granger long memory common factor weights, and presents a new metric denominated contemporaneous information response. These metrics are compared via simulation experiments. It is shown that, under fairly regular market conditions, the contemporaneous information response is a reliable measure of the relative incorporation of information, and in most cases is more resilient to microstructural noise than the other two metrics.

Suggested Citation

  • Helder Sebastião, 2012. "The Relative Contemporaneous Information Response: A New Cointegration-Based Measure of Price Discovery," GEMF Working Papers 2012-04, GEMF, Faculty of Economics, University of Coimbra.
  • Handle: RePEc:gmf:wpaper:2012-04
    as

    Download full text from publisher

    File URL: https://repec.uc.pt/gmf/wpaper/wpgemf/gemf_2012-04.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gonzalo, Jesus & Ng, Serena, 2001. "A systematic framework for analyzing the dynamic effects of permanent and transitory shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 25(10), pages 1527-1546, October.
    2. Gonzalo, Jesus & Granger, Clive W J, 1995. "Estimation of Common Long-Memory Components in Cointegrated Systems," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(1), pages 27-35, January.
    3. Blanchard, Olivier Jean & Quah, Danny, 1993. "The Dynamic Effects of Aggregate Demand and Supply Disturbances: Reply," American Economic Review, American Economic Association, vol. 83(3), pages 653-658, June.
    4. de Jong, Frank, 2002. "Measures of contributions to price discovery: a comparison," Journal of Financial Markets, Elsevier, vol. 5(3), pages 323-327, July.
    5. 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.
    6. Theissen, Erik, 2002. "Price discovery in floor and screen trading systems," Journal of Empirical Finance, Elsevier, vol. 9(4), pages 455-474, November.
    7. deB. Harris, Frederick H. & McInish, Thomas H. & Wood, Robert A., 2002. "Security price adjustment across exchanges: an investigation of common factor components for Dow stocks," Journal of Financial Markets, Elsevier, vol. 5(3), pages 277-308, July.
    8. Theobald, Michael & Yallup, Peter, 2004. "Determining security speed of adjustment coefficients," Journal of Financial Markets, Elsevier, vol. 7(1), pages 75-96, January.
    9. 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.
    10. Kurov, Alexander & Lasser, Dennis J., 2004. "Price Dynamics in the Regular and E-Mini Futures Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 39(2), pages 365-384, June.
    11. Joel Hasbrouck, 2003. "Intraday Price Formation in U.S. Equity Index Markets," Journal of Finance, American Finance Association, vol. 58(6), pages 2375-2400, December.
    12. Lippi, Marco & Reichlin, Lucrezia, 1993. "The Dynamic Effects of Aggregate Demand and Supply Disturbances: Comment," American Economic Review, American Economic Association, vol. 83(3), pages 644-652, June.
    13. Hasbrouck, Joel, 1995. "One Security, Many Markets: Determining the Contributions to Price Discovery," Journal of Finance, American Finance Association, vol. 50(4), pages 1175-1199, September.
    14. Lehmann, Bruce N., 2002. "Some desiderata for the measurement of price discovery across markets," Journal of Financial Markets, Elsevier, vol. 5(3), pages 259-276, July.
    15. Hasbrouck, Joel, 2002. "Stalking the "efficient price" in market microstructure specifications: an overview," Journal of Financial Markets, Elsevier, vol. 5(3), pages 329-339, July.
    16. Baillie, Richard T. & Geoffrey Booth, G. & Tse, Yiuman & Zabotina, Tatyana, 2002. "Price discovery and common factor models," Journal of Financial Markets, Elsevier, vol. 5(3), pages 309-321, July.
    17. Chowdhry, Bhagwan & Nanda, Vikram, 1991. "Multimarket Trading and Market Liquidity," The Review of Financial Studies, Society for Financial Studies, vol. 4(3), pages 483-511.
    18. 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.
    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. Karin Niehoff, 2016. "Price Discovery in Voting and Non-Voting Stocks," Schmalenbach Business Review, Springer;Schmalenbach-Gesellschaft, vol. 17(3), pages 285-307, December.
    2. Nicolas Dias Gomes & Pedro André Cerqueira & Luís Alçada Almeida, 2014. "Software Piracy: A Critical Survey of the Theoretical and Empirical Literature," GEMF Working Papers 2014-05, GEMF, Faculty of Economics, University of Coimbra.

    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. Hou, Yang & Li, Steven, 2017. "Time-Varying Price Discovery and Autoregressive Loading Factors: Evidence from S&P 500 Cash and E-Mini Futures Markets," MPRA Paper 81999, University Library of Munich, Germany.
    2. Chen, Wei-Peng & Chung, Huimin & Lien, Donald, 2016. "Price discovery in the S&P 500 index derivatives markets," International Review of Economics & Finance, Elsevier, vol. 45(C), pages 438-452.
    3. Yan, Bingcheng & Zivot, Eric, 2010. "A structural analysis of price discovery measures," Journal of Financial Markets, Elsevier, vol. 13(1), pages 1-19, February.
    4. Bingcheng Yan & Eric Zivot, 2007. "A Structural Analysis of Price Discovery Measures," Working Papers UWEC-2006-08-FC, University of Washington, Department of Economics, revised Apr 2007.
    5. Christoph Schmidhammer & Sebastian Lobe & Klaus Röder, 2016. "The day the index rose 11 %: a clinical study on price discovery reversal," Review of Quantitative Finance and Accounting, Springer, vol. 46(1), pages 79-106, January.
    6. Santos, Francisco Luna & Garcia, Márcio Gomes Pinto & Medeiros, Marcelo Cunha, 2015. "Price Discovery in Brazilian FX Markets," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 35(1), October.
    7. Christoph Schmidhammer & Sebastian Lobe & Klaus Röder, 2016. "The day the index rose 11 %: a clinical study on price discovery reversal," Review of Quantitative Finance and Accounting, Springer, vol. 46(1), pages 79-106, January.
    8. 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.
    9. Bongjin Kim & Mark M. Suazo & John E. Prescott, 2008. "Exploring the Cognitive Nature of Boards of Directors and Its Implication for Board Effectiveness," Working Papers 0032, College of Business, University of Texas at San Antonio.
    10. 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 6-2015.
    11. Joel Hasbrouck, 2021. "Price Discovery in High Resolution," Journal of Financial Econometrics, Oxford University Press, vol. 19(3), pages 395-430.
    12. Fricke, Christoph & Menkhoff, Lukas, 2011. "Does the "Bund" dominate price discovery in Euro bond futures? Examining information shares," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1057-1072, May.
    13. Yang Hou & Steven Li & Fenghua Wen, 2021. "Time-varying information share and autoregressive loading factors: evidence from S&P 500 cash and E-mini futures markets," Review of Quantitative Finance and Accounting, Springer, vol. 57(1), pages 91-110, July.
    14. Ozturk, Sait R. & van der Wel, Michel & van Dijk, Dick, 2017. "Intraday price discovery in fragmented markets," Journal of Financial Markets, Elsevier, vol. 32(C), pages 28-48.
    15. Hou, Yang & Nartea, Gilbert, 2017. "Price Discovery in the Stock Index Futures Market: Evidence from the Chinese stock market crash," MPRA Paper 81995, University Library of Munich, Germany.
    16. Zema, Sebastiano Michele, 2022. "Directed acyclic graph based information shares for price discovery," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    17. Tse, Yiuman & Xiang, Ju, 2005. "Market quality and price discovery: Introduction of the E-mini energy futures," Global Finance Journal, Elsevier, vol. 16(2), pages 164-179, December.
    18. 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.
    19. Erik Theissen, 2012. "Price discovery in spot and futures markets: a reconsideration," The European Journal of Finance, Taylor & Francis Journals, vol. 18(10), pages 969-987, November.
    20. Chen, Yu-Lun & Gau, Yin-Feng, 2015. "Foreign exchange market intervention and price discovery," Journal of the Japanese and International Economies, Elsevier, vol. 38(C), pages 214-227.

    More about this item

    Keywords

    Price discovery; High frequency data; Information shares; Common factors; FTSE 100; Stock index futures; Market microstructure.;
    All these keywords.

    JEL classification:

    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

    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:gmf:wpaper:2012-04. 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: Sofia Antunes (email available below). General contact details of provider: https://edirc.repec.org/data/cebucpt.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.