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How to Measure the Economic Integrity of Ibor Panels? A Behavioural Approach

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  • Mielus Piotr

    (SGH Warsaw School of Economics, Warsaw, Poland; ORCID: 0000-0003-0194-5172)

Abstract

IBOR manipulation imposed new benchmark regulations that forced the market to enter a path of the reform of the existing financial indices and the creation of new ones. The paper describes the evolution of two IBOR panels: one representing a global financial benchmark LIBOR, and the other representing a local PLN benchmark, WIBOR. The paper provides a quantitative analysis of partial quotes of IBOR panellists and suggests that economic integrity measures should be introduced for IBOR panels. The aim of the research is to define a set of tools that provide information regarding the efficiency of the process of the production of the interest rate benchmark. The research is supplemented with a behavioural analysis of the banks’ decision-making process that interferes the contribution of IBOR data. The integrity measures can help market users and financial authorities in evaluating the quality of current and past panels and identifying behavioural factors impacting on partial quotes of the contributing banks.

Suggested Citation

  • Mielus Piotr, 2019. "How to Measure the Economic Integrity of Ibor Panels? A Behavioural Approach," Financial Sciences. Nauki o Finansach, Sciendo, vol. 24(1), pages 51-73, March.
  • Handle: RePEc:vrs:finsci:v:24:y:2019:i:1:p:51-73:n:4
    DOI: 10.15611/fins.2019.1.04
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    References listed on IDEAS

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    1. Kirti, Divya, 2022. "What are reference rates for?," Journal of Banking & Finance, Elsevier, vol. 144(C).
    2. Darrell Duffie & Jeremy C. Stein, 2015. "Reforming LIBOR and Other Financial Market Benchmarks," Journal of Economic Perspectives, American Economic Association, vol. 29(2), pages 191-212, Spring.
    3. Piotr Mielus, 2016. "Dylematy reformy indeksów rynku finansowego," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 4, pages 91-114.
    4. Avery, Christopher & Zemsky, Peter, 1998. "Multidimensional Uncertainty and Herd Behavior in Financial Markets," American Economic Review, American Economic Association, vol. 88(4), pages 724-748, September.
    5. Shiller, Robert J, 1995. "Conversation, Information, and Herd Behavior," American Economic Review, American Economic Association, vol. 85(2), pages 181-185, May.
    6. V. Brousseau & Alexandre Chailloux & Alain Durré, 2013. "Fixing the Fixings: What Road to a More Representative Money Market Benchmark?," IMF Working Papers 2013/131, International Monetary Fund.
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    More about this item

    Keywords

    financial benchmarks; money market; behavioural finance;
    All these keywords.

    JEL classification:

    • G01 - Financial Economics - - General - - - Financial Crises
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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