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Trading European Sovereign Bonds: The Microstructure of the MTS Trading Platforms

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  • de Jong, Frank
  • Rindi, Barbara
  • Cheung, Yiu Chung

Abstract

We study the microstructure of the MTS Global Market bond trading system. This system is the largest pan-European interdealer trading system for Eurozone government bonds. We study the volume weighted quoted spread and a variety of effective spread measures for different classes of bond maturities and issuing countries. We find that quoted and effective spreads are related to maturity and trading intensity. Estimated spreads on EuroMTS are typically slightly higher than on the domestic markets, but the difference is small in economic terms. The regression results show that order flow plays a key role in determining the price discovery in the bond market. Transitory costs are more important in markets like Italy and Belgium, which are dominated by local traders. In addition, we find a positive relationship between trading intensity and price returns, indicating findings relevant to the structure of bond markets and interdealer trading.

Suggested Citation

  • de Jong, Frank & Rindi, Barbara & Cheung, Yiu Chung, 2004. "Trading European Sovereign Bonds: The Microstructure of the MTS Trading Platforms," CEPR Discussion Papers 4285, C.E.P.R. Discussion Papers.
    • Handle: RePEc:cpr:ceprdp:4285
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    Citations

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    Cited by:

    1. Schulz, Alexander & Wolff, Guntram B., 2009. "Sovereign bond market integration: the euro, trading platforms and financial crises," MPRA Paper 16900, University Library of Munich, Germany.
    2. 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.
    3. Chris D'Souza & Ingrid Lo & Stephen Sapp, 2007. "Price Formation and Liquidity Provision in Short-Term Fixed Income Markets," Staff Working Papers 07-27, Bank of Canada.
    4. Caporale, Guglielmo Maria & Girardi, Alessandro, 2013. "Price discovery and trade fragmentation in a multi-market environment: Evidence from the MTS system," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 227-240.
    5. Perlin, Marcelo & Dufour, Alfonso & Brooks, Chris, 2010. "The Drivers of Cross Market Arbitrage Opportunities: Theory and Evidence for the European Bond Market," MPRA Paper 23381, University Library of Munich, Germany.
    6. Guntram B. Wolff & Alexander Schulz, 2008. "Sovereign bond market integration: the euro, trading platforms and globalisation," European Economy - Economic Papers 2008 - 2015 332, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    7. Pieterse-Bloem, M., 2011. "The effect of Emu on bond market integration and investor portfolio allocations," Other publications TiSEM 3c6ce80d-9260-424a-b889-b, Tilburg University, School of Economics and Management.
    8. Guglielmo Maria Caporale & Alessandro Girardi, 2011. "Price formation on the EuroMTS platform," Applied Economics Letters, Taylor & Francis Journals, vol. 18(3), pages 229-233.
    9. Thanasis N. Christodoulopoulos & Ioulia Grigoratou, 2005. "Measuring Liquidity in the Greek Government Securities Market," Working Papers 23, Bank of Greece.
    10. Marcelo Perlin & Alfonso Dufour & Chris Brooks, 2014. "The determinants of a cross market arbitrage opportunity: theory and evidence for the European bond market," Annals of Finance, Springer, vol. 10(3), pages 457-480, August.
    11. 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.
    12. Alessandro Beber & Michael W. Brandt & Kenneth A. Kavajecz, 2009. "Flight-to-Quality or Flight-to-Liquidity? Evidence from the Euro-Area Bond Market," The Review of Financial Studies, Society for Financial Studies, vol. 22(3), pages 925-957.
    13. Paola Paiardini, 2010. "The Price Impact of Economic News, Private Information and Trading Intensity," Birkbeck Working Papers in Economics and Finance 1011, Birkbeck, Department of Economics, Mathematics & Statistics.
    14. Perlin, Marcelo & Dufour, Alfonso & Brooks, Chris, 2010. "A Microstructure Model for Spillover Effects in Price Discovery: A Study for the European Bond Market," MPRA Paper 23380, University Library of Munich, Germany.
    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. Tetsuo Kurosaki & Yusuke Kumano & Kota Okabe & Teppei Nagano, 2015. "Liquidity in JGB Markets: An Evaluation from Transaction Data," Bank of Japan Working Paper Series 15-E-2, Bank of Japan.
    17. Pelizzon, Loriana & Subrahmanyam, Marti G. & Tomio, Davide & Uno, Jun, 2015. "Sovereign credit risk, liquidity, and ECB intervention: Deus ex machina?," SAFE Working Paper Series 95, Leibniz Institute for Financial Research SAFE.
    18. Alain Monfort & Jean-Paul Renne, 2011. "Credit and Liquidity Risks in Euro-area Sovereign Yield Curves," Working Papers 2011-26, Center for Research in Economics and Statistics.
    19. Dunne, Peter G & Hau, Harald & Moore, Michael, 2008. "A Tale of Two Platforms: Dealer Intermediation in the European Sovereign Bond Market," CEPR Discussion Papers 6969, C.E.P.R. Discussion Papers.
    20. Alessandro Girardi, 2008. "The Informational Content of Trades on the EuroMTS Platform," ISAE Working Papers 97, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
    21. Salvador Barrios & Per Iversen & Magdalena Lewandowska & Ralph Setzer, 2009. "Determinants of intra-euro area government bond spreads during the financial crisis," European Economy - Economic Papers 2008 - 2015 388, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.

    More about this item

    Keywords

    Bonds markets; Microstructure; Order flow;
    All these keywords.

    JEL classification:

    • 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
    • F31 - International Economics - - International Finance - - - Foreign Exchange

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