IDEAS home Printed from https://ideas.repec.org/a/bis/bisqtr/1603h.html
   My bibliography  Save this article

Hanging up the phone - electronic trading in fixed income markets and its implications

Author

Listed:
  • Morten Linnemann Bech
  • Anamaria Illes
  • Ulf Lewrick
  • Andreas Schrimpf

Abstract

This article explores drivers and implications of the rising use of electronic and automated trading in fixed income markets - a process we refer to as "electronification". We take stock of the current state of electronic trading and how it has changed the market ecosystem, its resilience and its overall functioning. We argue that the impact of electronic and automated trading is visible in a number of dimensions of market liquidity and price efficiency. With market participants adjusting to the new market structure, several new challenges have emerged that warrant attention from policymakers.

Suggested Citation

  • Morten Linnemann Bech & Anamaria Illes & Ulf Lewrick & Andreas Schrimpf, 2016. "Hanging up the phone - electronic trading in fixed income markets and its implications," BIS Quarterly Review, Bank for International Settlements, March.
    • Handle: RePEc:bis:bisqtr:1603h
    as

    Download full text from publisher

    File URL: http://www.bis.org/publ/qtrpdf/r_qt1603h.pdf
    Download Restriction: no
    File URL: http://www.bis.org/publ/qtrpdf/r_qt1603h.htm
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Terrence Hendershott & Charles M. Jones & Albert J. Menkveld, 2011. "Does Algorithmic Trading Improve Liquidity?," Journal of Finance, American Finance Association, vol. 66(1), pages 1-33, February.
    2. Ingo Fender & Ulf Lewrick, 2015. "Shifting tides - market liquidity and market-making in fixed income instruments," BIS Quarterly Review, Bank for International Settlements, March.
    3. Alain P. Chaboud & Benjamin Chiquoine & Erik Hjalmarsson & Clara Vega, 2014. "Rise of the Machines: Algorithmic Trading in the Foreign Exchange Market," Journal of Finance, American Finance Association, vol. 69(5), pages 2045-2084, October.
    4. Brogaard, Jonathan & Garriott, Corey, 2019. "High-Frequency Trading Competition," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 54(4), pages 1469-1497, August.
    5. Hendrik Bessembinder & William Maxwell, 2008. "Markets: Transparency and the Corporate Bond Market," Journal of Economic Perspectives, American Economic Association, vol. 22(2), pages 217-234, Spring.
    6. Menkveld, Albert J., 2013. "High frequency trading and the new market makers," Journal of Financial Markets, Elsevier, vol. 16(4), pages 712-740.
    7. Antonio Scalia & Valerio Vacca, 2001. "Does market transparency matter? A case study," BIS Papers chapters, in: Bank for International Settlements (ed.), Market liquidity: proceedings of a workshop held at the BIS, volume 2, pages 113-144, Bank for International Settlements.
    8. Claudio E. V. Borio, 2004. "Market distress and vanishing liquidity: anatomy and policy options," BIS Working Papers 158, Bank for International Settlements.
    9. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    10. Darrell Duffie, 2012. "Dark Markets: Asset Pricing and Information Transmission in Over-the-Counter Markets," Economics Books, Princeton University Press, edition 1, number 9623.
    11. Terrence Hendershott & Ananth Madhavan, 2015. "Click or Call? Auction versus Search in the Over-the-Counter Market," Journal of Finance, American Finance Association, vol. 70(1), pages 419-447, February.
    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. Malamud, Semyon & Schrimpf, Paul, 2018. "An Intermediation-Based Model of Exchange Rates," CEPR Discussion Papers 13182, C.E.P.R. Discussion Papers.
    2. Semyon Malamud & Andreas Schrimpf, 2016. "Intermediation Markups and Monetary Policy Passthrough," Swiss Finance Institute Research Paper Series 16-75, Swiss Finance Institute.
    3. Bulusu, Narayan & Guérin, Pierre, 2019. "What drives interbank loans? Evidence from Canada," Journal of Banking & Finance, Elsevier, vol. 106(C), pages 427-444.
    4. Michael Moore & Andreas Schrimpf & Vladyslav Sushko, 2016. "Downsized FX markets: causes and implications," BIS Quarterly Review, Bank for International Settlements, December.
    5. Schlepper, Kathi & Riordan, Ryan & Hofer, Heiko & Schrimpf, Andreas, 2017. "Scarcity effects of QE: A transaction-level analysis in the Bund market," Discussion Papers 06/2017, Deutsche Bundesbank.
    6. Matthew L. Kozora & Bruce Mizrach & Matthew Peppe & Or Shachar & Jonathan S. Sokobin, 2020. "Alternative Trading Systems in the Corporate Bond Market," Staff Reports 938, Federal Reserve Bank of New York.
    7. Christina Erlwein-Sayer, 2018. "Macroeconomic News Sentiment: Enhanced Risk Assessment for Sovereign Bonds," Risks, MDPI, vol. 6(4), pages 1-27, December.
    8. Carapella, Francesca & Monnet, Cyril, 2020. "Dealers’ insurance, market structure, and liquidity," Journal of Financial Economics, Elsevier, vol. 138(3), pages 725-753.
    9. Ødegaard, Bernt Arne, 2016. "Bond Liquidity at the Oslo Stock Exchange," UiS Working Papers in Economics and Finance 2016/16, University of Stavanger.

    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. Breedon, Francis & Chen, Louisa & Ranaldo, Angelo & Vause, Nicholas, 2023. "Judgment day: Algorithmic trading around the Swiss franc cap removal," Journal of International Economics, Elsevier, vol. 140(C).
    2. Adrian, Tobias & Capponi, Agostino & Fleming, Michael & Vogt, Erik & Zhang, Hongzhong, 2020. "Intraday market making with overnight inventory costs," Journal of Financial Markets, Elsevier, vol. 50(C).
    3. Chen, Marie & Garriott, Corey, 2020. "High-frequency trading and institutional trading costs," Journal of Empirical Finance, Elsevier, vol. 56(C), pages 74-93.
    4. Zhou, Hao & Kalev, Petko S., 2019. "Algorithmic and high frequency trading in Asia-Pacific, now and the future," Pacific-Basin Finance Journal, Elsevier, vol. 53(C), pages 186-207.
    5. Mark Marner-Hausen, 2022. "Developing a Framework for Real-Time Trading in a Laboratory Financial Market," ECONtribute Discussion Papers Series 172, University of Bonn and University of Cologne, Germany.
    6. Gerig, Austin & Michayluk, David, 2017. "Automated liquidity provision," Pacific-Basin Finance Journal, Elsevier, vol. 45(C), pages 1-13.
    7. Angerer, Martin & Neugebauer, Tibor & Shachat, Jason, 2023. "Arbitrage bots in experimental asset markets," Journal of Economic Behavior & Organization, Elsevier, vol. 206(C), pages 262-278.
    8. Donald B. Keim & Massimo Massa & Bastian von Beschwitz, 2018. "First to \"Read\" the News: New Analytics and Algorithmic Trading," International Finance Discussion Papers 1233, Board of Governors of the Federal Reserve System (U.S.).
    9. Oliver Linton & Soheil Mahmoodzadeh, 2018. "Implications of High-Frequency Trading for Security Markets," Annual Review of Economics, Annual Reviews, vol. 10(1), pages 237-259, August.
    10. Fabrice Rousseau & Herve Boco & Laurent Germain, 2020. "High Frequency Trading: Strategic Competition Between Slow and Fast Traders," Economics Department Working Paper Series n296-20.pdf, Department of Economics, National University of Ireland - Maynooth.
    11. Hussain, Syed Mujahid & Ahmad, Nisar & Ahmed, Sheraz, 2023. "Applications of high-frequency data in finance: A bibliometric literature review," International Review of Financial Analysis, Elsevier, vol. 89(C).
    12. Nicholas Hirschey, 2021. "Do High-Frequency Traders Anticipate Buying and Selling Pressure?," Management Science, INFORMS, vol. 67(6), pages 3321-3345, June.
    13. Benos, Evangelos & Brugler, James & Hjalmarsson, Erik & Zikes, Filip, 2017. "Interactions among High-Frequency Traders," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(4), pages 1375-1402, August.
    14. Ramos, Henrique Pinto & Perlin, Marcelo Scherer, 2020. "Does algorithmic trading harm liquidity? Evidence from Brazil," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    15. Roşu, Ioanid, 2019. "Fast and slow informed trading," Journal of Financial Markets, Elsevier, vol. 43(C), pages 1-30.
    16. Gbenga Ibikunle & Davide Mare & Yuxin Sun, 2020. "The paradoxical effects of market fragmentation on adverse selection risk and market efficiency," The European Journal of Finance, Taylor & Francis Journals, vol. 26(14), pages 1439-1461, September.
    17. Markus Baldauf & Joshua Mollner, 2020. "High‐Frequency Trading and Market Performance," Journal of Finance, American Finance Association, vol. 75(3), pages 1495-1526, June.
    18. Holden, Craig W. & Lu, Dong & Lugovskyy, Volodymyr & Puzzello, Daniela, 2021. "What is the impact of introducing a parallel OTC market? Theory and evidence from the chinese interbank FX market," Journal of Financial Economics, Elsevier, vol. 140(1), pages 270-291.
    19. Dodd, Olga & Frijns, Bart & Indriawan, Ivan & Pascual, Roberto, 2023. "US cross-listing and domestic high-frequency trading: Evidence from Canadian stocks," Journal of Empirical Finance, Elsevier, vol. 72(C), pages 301-320.
    20. S. Sarah Zhang, 2018. "Need for speed: Hard information processing in a high‐frequency world," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(1), pages 3-21, January.

    More about this item

    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:bisqtr:1603h. 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: Christian Beslmeisl (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.