IDEAS home Printed from https://ideas.repec.org/p/bis/biswps/830.html
   My bibliography  Save this paper

De jure benchmark bonds

Author

Listed:
  • Eli M Remolona
  • James Yetman

Abstract

Benchmark bonds help to improve market efficiency. They seem to arise spontaneously in deep and liquid markets. Can governments help to create them where markets are too small? This paper examines three emerging markets in Asia where authorities have tried: they have designated specific bonds as benchmarks and fostered their liquidity. We identify exactly which bonds were the designated benchmarks. We then propose rank-order measures of liquidity and determine the extent to which these de jure benchmarks end up as de facto benchmarks in the sense of being the most liquid bonds in their maturity segments. We find that this occurs in close to 60% of months in our sample, covering a range of maturities for Indonesia, Malaysia and Thailand. We identify three factors that make success more likely: (a) choosing already liquid bonds; (b) choosing bonds that have previously served as de jure benchmarks; and (c) choosing bonds that will be issued during the month.

Suggested Citation

  • Eli M Remolona & James Yetman, 2019. "De jure benchmark bonds," BIS Working Papers 830, Bank for International Settlements.
  • Handle: RePEc:bis:biswps:830
    as

    Download full text from publisher

    File URL: https://www.bis.org/publ/work830.pdf
    File Function: Full PDF document
    Download Restriction: no

    File URL: https://www.bis.org/publ/work830.htm
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Darrell Duffie & Piotr Dworczak & Haoxiang Zhu, 2017. "Benchmarks in Search Markets," Journal of Finance, American Finance Association, vol. 72(5), pages 1983-2044, October.
    2. Pasquariello, Paolo & Vega, Clara, 2009. "The on-the-run liquidity phenomenon," Journal of Financial Economics, Elsevier, vol. 92(1), pages 1-24, April.
    3. Moore, Michael & Dunne, Peter G & Portes, Richard, 2002. "Defining Benchmark Status: An Application using Euro-Area Bonds," CEPR Discussion Papers 3490, C.E.P.R. Discussion Papers.
    4. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    5. Craig H Furfine & Eli M Remolona, 2002. "What's behind the liquidity spread? On-the-run and off-the-run US Treasuries in autumn 1998," BIS Quarterly Review, Bank for International Settlements, June.
    6. Peter G. Dunne & Michael J. Moore & Richard Portes, 2007. "Benchmark Status in Fixed‐Income Asset Markets," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 34(9‐10), pages 1615-1634, November.
    7. World Bank & International Monetory Fund, 2001. "Developing Government Bond Markets : A Handbook," World Bank Publications - Books, The World Bank Group, number 13865.
    8. Peter G. Dunne & Michael J. Moore & Richard Portes, 2007. "Benchmark Status in Fixed‐Income Asset Markets," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 34(9‐10), pages 1615-1634, November.
    9. Philip D Wooldridge, 2001. "The emergence of new benchmark yield curves," BIS Quarterly Review, Bank for International Settlements, December.
    10. Robert McCauley & Eli Remolona, 2000. "Size and liquidity of government bond markets," BIS Quarterly Review, Bank for International Settlements, November.
    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. Eli Remolona & James Yetman, 2019. "The rise of benchmark bonds in emerging Asia," BIS Papers chapters, in: Bank for International Settlements (ed.), Asia-Pacific fixed income markets: evolving structure, participation and pricing, volume 102, pages 67-79, Bank for International Settlements.
    2. 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).
    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. Dimitris A. Georgoutsos & Petros M. Migiakis, 2012. "Benchmark Bonds Interactions under Regime Shifts," European Financial Management, European Financial Management Association, vol. 18(3), pages 389-409, June.
    5. Zhang, Hanyu & Dufour, Alfonso, 2019. "Modeling intraday volatility of European bond markets: A data filtering application," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 131-146.
    6. Coluzzi, Chiara & Ginebri, Sergio & Turco, Manuel, 2008. "Measuring and Analyzing the Liquidity of the Italian Treasury Security Wholesale Secondary Market," Economics & Statistics Discussion Papers esdp08044, University of Molise, Department of Economics.
    7. Anderson, Heather M. & Dungey, Mardi & Osborn, Denise R. & Vahid, Farshid, 2011. "Financial integration and the construction of historical financial data for the Euro Area," Economic Modelling, Elsevier, vol. 28(4), pages 1498-1509, July.
    8. repec:dau:papers:123456789/11155 is not listed on IDEAS
    9. Catherine L. Mann & Oren Klachkin, 2014. "U.S. Treasury Auction Yields Before and During Quantitative Easing: Market Factors vs.Auction Specific Factors," Working Papers 67, Brandeis University, Department of Economics and International Business School.
    10. Iara, Anna & Wolff, Guntram B., 2014. "Rules and risk in the Euro area," European Journal of Political Economy, Elsevier, vol. 34(C), pages 222-236.
    11. Anne-Laure Delatte & Julien Fouquau & Richard Portes, 2017. "Regime-Dependent Sovereign Risk Pricing During the Euro Crisis," Review of Finance, European Finance Association, vol. 21(1), pages 363-385.
    12. Catherine L. Mann & Oren Klachkin, 2011. "U.S. Treasury Auction Yields During Boom, Bust, and Quantitative Easing: Role for Fed and Foreign Purchasers," Working Papers 47, Brandeis University, Department of Economics and International Business School, revised May 2012.
    13. De Jong, Jasper F.M. & Gilbert, Niels D., 2020. "Fiscal discipline in EMU? Testing the effectiveness of the Excessive Deficit Procedure," European Journal of Political Economy, Elsevier, vol. 61(C).
    14. 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).
    15. 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.
    16. Gerlach, Stefan & Wolff, Guntram B. & Schulz, Alexander, 2010. "Banking and Sovereign Risk in the Euro Area," CEPR Discussion Papers 7833, C.E.P.R. Discussion Papers.
    17. Guglielmo Maria Caporale & Alessandro Girardi, 2011. "Price formation on the EuroMTS platform," Applied Economics Letters, Taylor & Francis Journals, vol. 18(3), pages 229-233.
    18. Peter G. Dunne, 2019. "Positive Liquidity Spillovers from Sovereign Bond-Backed Securities," JRFM, MDPI, vol. 12(2), pages 1-25, April.
    19. Wagenvoort, Rien J.L.M. & Ebner, André & Morgese Borys, Magdalena, 2011. "A factor analysis approach to measuring European loan and bond market integration," Journal of Banking & Finance, Elsevier, vol. 35(4), pages 1011-1025, April.
    20. Samir Kadiric, 2020. "The determinants of sovereign risk premiums in the UK and the European government bond market: The impact of Brexit," EIIW Discussion paper disbei271, Universitätsbibliothek Wuppertal, University Library.
    21. Fourel, V. & Idier, J., 2011. "Risk aversion and Uncertainty in European Sovereign Bond Markets," Working papers 349, Banque de France.

    More about this item

    Keywords

    benchmark bond; price discovery; market liquidity; informational public good; recycling; de jure; de facto; wannabe benchmark; probit model; inverse Mills ratio;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    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:bis:biswps:830. 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: Martin Fessler (email available below). General contact details of provider: https://edirc.repec.org/data/bisssch.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.