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What Factors Shape the Liquidity Levels of Euro Area Sovereign Bonds?

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  • Jurksas Linas

    (Vilnius University,Vilnius, Lithuania)

Abstract

The purpose of this paper is to determine the factors that shape the liquidity levels of euro area sovereign bonds. The values of liquidity measure and explanatory variables were calculated from the limitorder book dataset for almost five hundred bonds from six largest euro area sovereign bond markets. The created variables were used in a cross-sectional regression model. The results revealed that characteristics of sovereign bonds are indeed highly linked with bond liquidity levels, and these effects become even stronger during the regimes of lower market liquidity. Contrary to the statements of market participants and findings of many other studies, the magnitude of trading automation and obligatory requirements imposed on dealers were found to be negatively linked with the liquidity level of sovereign bonds.

Suggested Citation

  • Jurksas Linas, 2018. "What Factors Shape the Liquidity Levels of Euro Area Sovereign Bonds?," Open Economics, De Gruyter, vol. 1(1), pages 154-166, December.
    • Handle: RePEc:vrs:openec:v:1:y:2018:i:1:p:154-166:n:13
    DOI: 10.1515/openec-2018-0009
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    References listed on IDEAS

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    1. Michael J. Fleming, 2003. "Measuring treasury market liquidity," Economic Policy Review, Federal Reserve Bank of New York, issue Sep, pages 83-108.
    2. Goyenko, Ruslan & Subrahmanyam, Avanidhar & Ukhov, Andrey, 2011. "The Term Structure of Bond Market Liquidity and Its Implications for Expected Bond Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 46(1), pages 111-139, February.
    3. A. Colin Cameron & Douglas L. Miller, 2015. "A Practitioner’s Guide to Cluster-Robust Inference," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 317-372.
    4. Amihud, Yakov, 2002. "Illiquidity and stock returns: cross-section and time-series effects," Journal of Financial Markets, Elsevier, vol. 5(1), pages 31-56, January.
    5. Naoshi Tsuchida & Toshiaki Watanabe & Toshinao Yoshiba, 2016. "The Intraday Market Liquidity of Japanese Government Bond Futures," IMES Discussion Paper Series 16-E-07, Institute for Monetary and Economic Studies, Bank of Japan.
    6. Craig W. Holden & Stacey Jacobsen & Avanidhar Subrahmanyam, 2014. "The Empirical Analysis of Liquidity," Foundations and Trends(R) in Finance, now publishers, vol. 8(4), pages 263-365, December.
    7. Díaz, Antonio & Escribano, Ana, 2017. "Liquidity measures throughout the lifetime of the U.S. Treasury bond," Journal of Financial Markets, Elsevier, vol. 33(C), pages 42-74.
    8. Jurkšas, Linas & Kapp, Daniel & Nyholm, Ken & von Landesberger, Julian, 2018. "Euro area sovereign bond market liquidity since the start of the PSPP," Economic Bulletin Boxes, European Central Bank, vol. 2.
    9. Naoshi Tsuchida & Toshiaki Watanabe & Toshinao Yoshiba, 2016. "The Intraday Market Liquidity of Japanese Government Bond Futures," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 34, pages 67-96, November.
    10. Chunrong Ai & Jinhong You & Yong Zhou, 2014. "Estimation of fixed effects panel data partially linear additive regression models," Econometrics Journal, Royal Economic Society, vol. 17(1), pages 83-106, February.
    11. Roll, Richard, 1984. "A Simple Implicit Measure of the Effective Bid-Ask Spread in an Efficient Market," Journal of Finance, American Finance Association, vol. 39(4), pages 1127-1139, September.
    12. M. Schneider & F. Lillo & L. Pelizzon, 2018. "Modelling illiquidity spillovers with Hawkes processes: an application to the sovereign bond market," Quantitative Finance, Taylor & Francis Journals, vol. 18(2), pages 283-293, February.
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