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Price Discovery and Trade Fragmentation in a Multi-Market Environment: Evidence from the MTS System

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  • Guglielmo Maria Caporale
  • Alessandro Girardi

Abstract

This paper proposes new metrics for the process of price discovery on the main electronic trading platform for euro-denominated government securities. Analysing price data on daily transactions for 107 bonds over a period of twenty-seven months, we find a greater degree of price leadership of the dominant market when our measures (as opposed to the traditional price discovery metrics) are used. We also present unambiguous evidence that a market's contribution to price discovery is crucially affected by the level of trading activity. The implications of these empirical findings are discussed in the light of the debate about the possible restructuring of the regulatory framework for the Treasury bond market in Europe.

Suggested Citation

  • Guglielmo Maria Caporale & Alessandro Girardi, 2011. "Price Discovery and Trade Fragmentation in a Multi-Market Environment: Evidence from the MTS System," Discussion Papers of DIW Berlin 1139, DIW Berlin, German Institute for Economic Research.
    • Handle: RePEc:diw:diwwpp:dp1139
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    Cited by:

    1. Alessandro Girardi & Marco Ventura, 2021. "Measuring credit crunch in Italy: evidence from a survey-based indicator," Annals of Operations Research, Springer, vol. 299(1), pages 567-592, April.
    2. Paiardini, Paola, 2014. "The impact of economic news on bond prices: Evidence from the MTS platform," Journal of Banking & Finance, Elsevier, vol. 49(C), pages 302-322.
    3. Caporale, Guglielmo Maria & Girardi, Alessandro & Paesani, Paolo, 2012. "Quoted spreads and trade imbalance dynamics in the European Treasury bond market," The Quarterly Review of Economics and Finance, Elsevier, vol. 52(2), pages 173-182.
    4. Girardi, Alessandro & Ventura, Marco & Margani, Patrizia, 2018. "An Indicator of Credit Crunch using Italian Business Surveys," MPRA Paper 88839, University Library of Munich, Germany.
    5. Gómez-Puig, Marta & Pieterse-Bloem, Mary & Sosvilla-Rivero, Simón, 2023. "Dynamic connectedness between credit and liquidity risks in euro area sovereign debt markets," Journal of Multinational Financial Management, Elsevier, vol. 68(C).
    6. Z. Sun & P. A. Hamill & Y. Li & Y. C. Yang & S. A. Vigne, 2019. "Did long-memory of liquidity signal the European sovereign debt crisis?," Annals of Operations Research, Springer, vol. 282(1), pages 355-377, November.
    7. Panagiotis Panagiotou & Xu Jiang & Angel Gavilan, 2023. "The determinants of liquidity commonality in the Euro-area sovereign bond market," The European Journal of Finance, Taylor & Francis Journals, vol. 29(10), pages 1144-1186, July.
    8. O’Sullivan, Conall & Papavassiliou, Vassilios G., 2020. "On the term structure of liquidity in the European sovereign bond market," Journal of Banking & Finance, Elsevier, vol. 114(C).
    9. Paiardini, Paola, 2015. "Informed trading in parallel bond markets," Journal of Financial Markets, Elsevier, vol. 26(C), pages 103-121.
    10. Dufour, Alfonso & Stancu, Andrei & Varotto, Simone, 2017. "The equity-like behaviour of sovereign bonds," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 48(C), pages 25-46.
    11. Guglielmo Maria Caporale & Davide Ciferri & Alessandro Girardi, 2014. "Time-Varying Spot and Futures Oil Price Dynamics," Scottish Journal of Political Economy, Scottish Economic Society, vol. 61(1), pages 78-97, February.
    12. Wu, Lei & Liu, Chunlin & Meng, Qingbin & Zeng, Hongchao, 2018. "Price discovery in China's inter-bank bond market," Pacific-Basin Finance Journal, Elsevier, vol. 48(C), pages 84-98.
    13. 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.
    14. Alessandro Girardi & Claudio Impenna, 2013. "Price discovery in the Italian sovereign bonds market: the role of order flow," Temi di discussione (Economic working papers) 906, Bank of Italy, Economic Research and International Relations Area.
    15. Schneider, Michael & Lillo, Fabrizio & Pelizzon, Loriana, 2016. "How has sovereign bond market liquidity changed? An illiquidity spillover analysis," SAFE Working Paper Series 151, Leibniz Institute for Financial Research SAFE.
    16. Edson Kambeu, 2017. "The role of Exchange Traded Funds in the price discovery process of stocks listed on the Botswana Stock Exchange," International Journal of Finance & Banking Studies, Center for the Strategic Studies in Business and Finance, vol. 6(1), pages 141-148, January.
    17. Daragh Clancy & Peter G. Dunne & Pasquale Filiani, 2019. "Liquidity and tail-risk interdependencies in the euro area sovereign bond market," Working Papers 41, European Stability Mechanism.
    18. Papavassiliou, Vassilios G. & Kinateder, Harald, 2021. "Information shares and market quality before and during the European sovereign debt crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 72(C).
    19. Chang, Kai & Chen, Rongda & Chevallier, Julien, 2018. "Market fragmentation, liquidity measures and improvement perspectives from China's emissions trading scheme pilots," Energy Economics, Elsevier, vol. 75(C), pages 249-260.
    20. Marta Gómez-Puig & Mary Pieterse-Bloem & Simón Sosvilla-Rivero, 2022. ""Dynamic connectedness between credit and liquidity risks in EMU sovereign debt markets"," IREA Working Papers 202217, University of Barcelona, Research Institute of Applied Economics, revised Oct 2022.
    21. Buis, Boyd & Pieterse-Bloem, Mary & Verschoor, Willem F.C. & Zwinkels, Remco C.J., 2020. "Expected issuance fees and market liquidity," Journal of Financial Markets, Elsevier, vol. 48(C).

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    More about this item

    Keywords

    Price discovery; liquidity; MTS system;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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