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The effect of underreporting on LIBOR rates

Author

Listed:
  • Monticini, Andrea
  • Thornton, Daniel L.
Abstract
On May 29, 2008, the Wall Street Journal reported that several large international banks were reporting unjustifiably low LIBOR rates. Since then two large banks, Barclays and UBS, have paid significant fines for manipulating their LIBOR rates, and additional banks are expected to be fined. This paper investigates whether the underreporting of LIBOR rates by some banks significantly affected the reported LIBOR rate by testing whether there was a significant change in the relationship between the LIBOR rate and another rate that reflects the default risk of banks.

Suggested Citation

  • Monticini, Andrea & Thornton, Daniel L., 2013. "The effect of underreporting on LIBOR rates," Journal of Macroeconomics, Elsevier, vol. 37(C), pages 345-348.
    • Handle: RePEc:eee:jmacro:v:37:y:2013:i:c:p:345-348
    DOI: 10.1016/j.jmacro.2013.02.002
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    References listed on IDEAS

    as
    1. Rosa Abrantes-Metz & Sofia Villas-Boas & George Judge, 2011. "Tracking the Libor rate," Applied Economics Letters, Taylor & Francis Journals, vol. 18(10), pages 893-899.
    2. Abrantes-Metz, Rosa M. & Kraten, Michael & Metz, Albert D. & Seow, Gim S., 2012. "Libor manipulation?," Journal of Banking & Finance, Elsevier, vol. 36(1), pages 136-150.
    3. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
    4. Daniel L. Thornton, 2009. "What the Libor-OIS spread says," Economic Synopses, Federal Reserve Bank of St. Louis.
    5. Andrews, Donald W K & Monahan, J Christopher, 1992. "An Improved Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimator," Econometrica, Econometric Society, vol. 60(4), pages 953-966, July.
    6. Daniel L. Thornton, 2010. "Can the FOMC increase the funds rate without reducing reserves?," Economic Synopses, Federal Reserve Bank of St. Louis.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Priyank Gandhi & Benjamin Golez & Jens Carsten Jackwerth & Alberto Plazzi, 2019. "Financial Market Misconduct and Public Enforcement: The Case of Libor Manipulation," Management Science, INFORMS, vol. 65(11), pages 5268-5289, November.
    2. Michele Fabrizi & Xing Huan & Antonio Parbonetti, 2021. "When LIBOR becomes LIEBOR: Reputational penalties and bank contagion," The Financial Review, Eastern Finance Association, vol. 56(1), pages 157-178, February.
    3. Bariviera, Aurelio F. & Guercio, M. Belén & Martinez, Lisana B. & Rosso, Osvaldo A., 2016. "Libor at crossroads: Stochastic switching detection using information theory quantifiers," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 172-182.
    4. Dániel Béres, 2019. "Integrity of Financial Benchmarks," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 18(1), pages 33-59.
    5. Hagen Rafeld & Sebastian G. Fritz-Morgenthal & Peter N. Posch, 2020. "Whale Watching on the Trading Floor: Unravelling Collusive Rogue Trading in Banks," Journal of Business Ethics, Springer, vol. 165(4), pages 633-657, September.
    6. Li, Ming & Sun, Hang & Zong, Jichuan, 2021. "Intertemporal imitation behavior of interbank offered rate submissions," Journal of Banking & Finance, Elsevier, vol. 132(C).
    7. Bahoo, Salman, 2020. "Corruption in banks: A bibliometric review and agenda," Finance Research Letters, Elsevier, vol. 35(C).
    8. Xing Huan & Gary John Previts & Antonio Parbonetti, 2023. "Understanding the LIBOR scandal: the historical, the ethical, and the technological," Journal of Banking Regulation, Palgrave Macmillan, vol. 24(4), pages 403-419, December.
    9. Dániel Horváth & Eszter Makay, 2015. "Analysis methodology of interbank reference rates - International trends and the results of the first Hungarian annual statistical analysis for 2014," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 14(2), pages 62-88.
    10. Xing Huan & Antonio Parbonetti & Giulia Redigolo & Zhewei Zhang, 2024. "Social media disclosure and reputational damage," Review of Quantitative Finance and Accounting, Springer, vol. 62(4), pages 1355-1396, May.
    11. Fischer, Henning & Stolper, Oscar, 2019. "The nonlinear dynamics of corporate bond spreads: Regime-dependent effects of their determinants," Discussion Papers 08/2019, Deutsche Bundesbank.
    12. Aquilina, Matteo & Ibikunle, Gbenga & Mollica, Vito & Steffen, Tom, 2022. "The visible hand: benchmarks, regulation, and liquidity," Journal of Financial Markets, Elsevier, vol. 61(C).
    13. Frino, Alex & Ibikunle, Gbenga & Mollica, Vito & Steffen, Tom, 2018. "The impact of commodity benchmarks on derivatives markets: The case of the dated Brent assessment and Brent futures," Journal of Banking & Finance, Elsevier, vol. 95(C), pages 27-43.
    14. Aurelio Fernandez Bariviera & María Belén Guercio & Lisana B. Martinez & Osvaldo A. Rosso, 2015. "The (in)visible hand in the Libor market: an information theory approach," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 88(8), pages 1-9, August.
    15. Poskitt, Russell & Dassanayake, Wajira, 2015. "Modelling the lowballing of the LIBOR fixing," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 270-277.
    16. Lilian Muchimba, 2022. "Connectedness of money market instruments: A time-varying vector autoregression approach," Working Papers in Economics & Finance 2022-07, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
    17. Bachmair, K., 2023. "The Effects of the LIBOR Scandal on Volatility and Liquidity in LIBOR Futures Markets," Cambridge Working Papers in Economics 2303, Faculty of Economics, University of Cambridge.
    18. Aurelio F. Bariviera & M. Belen Guercio & Lisana B. Martinez & Osvaldo A. Rosso, 2015. "A permutation Information Theory tour through different interest rate maturities: the Libor case," Papers 1509.00217, arXiv.org.
    19. Pontines, Victor & Rummel, Ole, 2023. "LIBOR meets machine learning: A Lasso regression approach to detecting data irregularities," Finance Research Letters, Elsevier, vol. 55(PA).
    20. repec:cbh:journl:v:14:y:2015:i:2:p:62-88 is not listed on IDEAS

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    More about this item

    Keywords

    LIBOR rate; Default risk; Structural breaks;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy

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