IDEAS home Printed from https://ideas.repec.org/p/fip/fedlwp/2013-008.html
   My bibliography  Save this paper

The effect of underreporting on LIBOR rates

Author

Listed:
  • Andrea Monticini
  • Daniel L. Thornton

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

  • Andrea Monticini & Daniel L. Thornton, 2013. "The effect of underreporting on LIBOR rates," Working Papers 2013-008, Federal Reserve Bank of St. Louis.
    • Handle: RePEc:fip:fedlwp:2013-008
    as

    Download full text from publisher

    File URL: http://research.stlouisfed.org/wp/2013/2013-008.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    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

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Fischer, Henning & Stolper, Oscar, 2019. "The nonlinear dynamics of corporate bond spreads: Regime-dependent effects of their determinants," Discussion Papers 08/2019, Deutsche Bundesbank.
    6. Aquilina, Matteo & Ibikunle, Gbenga & Mollica, Vito & Steffen, Tom, 2022. "The visible hand: benchmarks, regulation, and liquidity," Journal of Financial Markets, Elsevier, vol. 61(C).
    7. 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.
    8. Dániel Béres, 2019. "Integrity of Financial Benchmarks," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 18(1), pages 33-59.
    9. 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.
    10. Li, Ming & Sun, Hang & Zong, Jichuan, 2021. "Intertemporal imitation behavior of interbank offered rate submissions," Journal of Banking & Finance, Elsevier, vol. 132(C).
    11. 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.
    12. Bahoo, Salman, 2020. "Corruption in banks: A bibliometric review and agenda," Finance Research Letters, Elsevier, vol. 35(C).
    13. Poskitt, Russell & Dassanayake, Wajira, 2015. "Modelling the lowballing of the LIBOR fixing," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 270-277.
    14. 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.
    15. 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.
    16. 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.
    17. Pontines, Victor & Rummel, Ole, 2023. "LIBOR meets machine learning: A Lasso regression approach to detecting data irregularities," Finance Research Letters, Elsevier, vol. 55(PA).
    18. repec:cbh:journl:v:14:y:2015:i:2:p:62-88 is not listed on IDEAS
    19. 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.

    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. Smales, Lee A., 2016. "News sentiment and bank credit risk," Journal of Empirical Finance, Elsevier, vol. 38(PA), pages 37-61.
    2. Matteo Mogliani, 2010. "Residual-based tests for cointegration and multiple deterministic structural breaks: A Monte Carlo study," Working Papers halshs-00564897, HAL.
    3. Ibrahim Ahamada & Jamel Jouini & Mohamed Boutahar, 2004. "Detecting multiple breaks in time series covariance structure: a non-parametric approach based on the evolutionary spectral density," Applied Economics, Taylor & Francis Journals, vol. 36(10), pages 1095-1101.
    4. Nicole El Karoui & Stéphane Loisel & Jean-Luc Prigent & Julien Vedani, 2017. "Market inconsistencies of the market-consistent European life insurance economic valuations: pitfalls and practical solutions," Post-Print hal-01242023, HAL.
    5. Zeileis, Achim, 2004. "Econometric Computing with HC and HAC Covariance Matrix Estimators," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 11(i10).
    6. Yunjong Eo & James Morley, 2022. "Why Has the U.S. Economy Stagnated since the Great Recession?," The Review of Economics and Statistics, MIT Press, vol. 104(2), pages 246-258, May.
    7. Hui Hong & Zhicun Bian & Chien-Chiang Lee, 2021. "COVID-19 and instability of stock market performance: evidence from the U.S," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-18, December.
    8. Joscha Beckmann & Ansgar Belke & Michael Kühl, 2009. "How Stable Are Monetary Models of the Dollar-Euro Exchange Rate?: A Time-Varying Coefficient Approach," Discussion Papers of DIW Berlin 944, DIW Berlin, German Institute for Economic Research.
    9. Casini, Alessandro & Perron, Pierre, 2021. "Continuous record Laplace-based inference about the break date in structural change models," Journal of Econometrics, Elsevier, vol. 224(1), pages 3-21.
    10. Bajo-Rubio, Oscar & Diaz-Roldan, Carmen & Esteve, Vicente, 2007. "Change of regime and Phillips curve stability: The case of Spain, 1964-2002," Journal of Policy Modeling, Elsevier, vol. 29(3), pages 453-462.
    11. repec:jss:jstsof:11:i10 is not listed on IDEAS
    12. Vicente Esteve & Francisco Requena, 2006. "A Cointegration Analysis of Car Advertising and Sales Data in the Presence of Structural Change," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 13(1), pages 111-128.
    13. Aquilina, Matteo & Ibikunle, Gbenga & Mollica, Vito & Steffen, Tom, 2022. "The visible hand: benchmarks, regulation, and liquidity," Journal of Financial Markets, Elsevier, vol. 61(C).
    14. Joscha Beckmann & Ansgar Belke & Michael Kühl, 2011. "The dollar-euro exchange rate and macroeconomic fundamentals: a time-varying coefficient approach," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 147(1), pages 11-40, April.
    15. Berna Kirkulak Uludag & Zorikto Lkhamazhapov, 2014. "Long memory and structural breaks in the returns and volatility of gold: evidence from Turkey," Applied Economics, Taylor & Francis Journals, vol. 46(31), pages 3777-3787, November.
    16. Matthew D. Henry & John L. Turner, 2016. "Across Five Eras: Patent Validity and Infringement Rates in U.S. Courts, 1929–2006," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 13(3), pages 454-486, September.
    17. Seong Yeon Chang & Pierre Perron, 2018. "A comparison of alternative methods to construct confidence intervals for the estimate of a break date in linear regression models," Econometric Reviews, Taylor & Francis Journals, vol. 37(6), pages 577-601, July.
    18. repec:zbw:rwirep:0134 is not listed on IDEAS
    19. Olson, Eric & Miller, Scott & Wohar, Mark E., 2012. "“Black Swans” before the “Black Swan” evidence from international LIBOR–OIS spreads," Journal of International Money and Finance, Elsevier, vol. 31(6), pages 1339-1357.
    20. Anton Muscatelli, V. & Spinelli, Franco & Trecroci, Carmine, 2007. "Macroeconomic shocks, structural change and real exchange rates: Evidence from historical data," Journal of International Money and Finance, Elsevier, vol. 26(8), pages 1403-1423, December.
    21. Paye, Bradley S. & Timmermann, Allan, 2006. "Instability of return prediction models," Journal of Empirical Finance, Elsevier, vol. 13(3), pages 274-315, June.
    22. Patnaik, Ila & Shah, Ajay, 2010. "Does the currency regime shape unhedged currency exposure?," Journal of International Money and Finance, Elsevier, vol. 29(5), pages 760-769, September.

    More about this item

    Keywords

    Interbank market; Interest rates; Risk management;
    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

    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:fip:fedlwp:2013-008. 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: Anna Oates (email available below). General contact details of provider: https://edirc.repec.org/data/frbslus.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.