IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-01160060.html
   My bibliography  Save this paper

Statistical evidence about LIBOR manipulation: A "Sherlock Holmes" investigation

Author

Listed:
  • Julien Fouquau

    (NEOMA - Neoma Business School)

  • Philippe K. Spieser

    (LABEX Refi - ESCP Europe - Ecole Supérieure de Commerce de Paris)

Abstract

This paper contributes to the crucial problem of LIBOR malfunctioning due to its manipulation by banks, a phenomenon described clearly in the FSA Inquiry Report published in September 2012. After applying classical tests of non-stationarity to a series of participating banks' LIBOR quotes, we detected some significant breaks in the data that correspond to significant economic events, namely Lehman Brothers' bankruptcy or central banks' decisions. Our conclusion is that a possible manipulation, confirmed ex post in the FSA report, can be deduced throughout the crisis period as a result of the behavior of the coefficients in a linear three-regime Threshold Regression model. Finally, we applied an original procedure to detect those banks most likely to build cartels – or at least homogeneous groups – during the important period of turmoil under review, namely August 2007 through November 2012. This method, called hierarchical clustering analysis, helped us to precise the conclusions of the abovementioned FSA inquiry.

Suggested Citation

  • Julien Fouquau & Philippe K. Spieser, 2015. "Statistical evidence about LIBOR manipulation: A "Sherlock Holmes" investigation," Post-Print hal-01160060, HAL.
  • Handle: RePEc:hal:journl:hal-01160060
    DOI: 10.1016/j.jbankfin.2014.03.039
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    as
    1. George Kapetanios, 1999. "A Test of M Structural Breaks Under the Unit Root Hypothesis," National Institute of Economic and Social Research (NIESR) Discussion Papers 152, National Institute of Economic and Social Research.
    2. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    3. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    4. Serena Ng & Pierre Perron, 1996. "The Exact Error In Estimating The Spectral Density At The Origin," Journal of Time Series Analysis, Wiley Blackwell, vol. 17(4), pages 379-408, July.
    5. Julien Fouquau, 2008. "Threshold effects in Okun's Law: a panel data analysis," Economics Bulletin, AccessEcon, vol. 5(33), pages 1-14.
    6. John C. Williams & John B. Taylor, 2009. "A Black Swan in the Money Market," American Economic Journal: Macroeconomics, American Economic Association, vol. 1(1), pages 58-83, January.
    7. Perron, Pierre, 1997. "Further evidence on breaking trend functions in macroeconomic variables," Journal of Econometrics, Elsevier, vol. 80(2), pages 355-385, October.
    8. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    9. Robin L. Lumsdaine & David H. Papell, 1997. "Multiple Trend Breaks And The Unit-Root Hypothesis," The Review of Economics and Statistics, MIT Press, vol. 79(2), pages 212-218, May.
    10. Perron, Pierre, 1989. "The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 57(6), pages 1361-1401, November.
    11. Jacob Gyntelberg & Philip Wooldridge, 2008. "Interbank rate fixings during the recent turmoil," BIS Quarterly Review, Bank for International Settlements, March.
    12. Dick van Dijk & Dennis Fok & Philip Hans Franses, 2005. "A multi-level panel STAR model for US manufacturing sectors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(6), pages 811-827.
    13. John Taylor & John Williams, 2008. "Further Results on a Black Swan in the Money Market," Discussion Papers 07-046, Stanford Institute for Economic Policy Research.
    14. Hansen Bruce E., 1997. "Inference in TAR Models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 2(1), pages 1-16, April.
    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. Contessi, Silvio & De Pace, Pierangelo & Guidolin, Massimo, 2020. "Mildly explosive dynamics in U.S. fixed income markets," European Journal of Operational Research, Elsevier, vol. 287(2), pages 712-724.
    2. 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.
    3. Eross, Andrea & Urquhart, Andrew & Wolfe, Simon, 2016. "Liquidity risk contagion in the interbank market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 45(C), pages 142-155.
    4. 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.
    5. Nuria Boot & Timo Klein & Maarten Pieter Schinkel, 2017. "Collusive Benchmark Rates Fixing," Tinbergen Institute Discussion Papers 17-122/VII, Tinbergen Institute, revised 17 Apr 2019.
    6. Florian El Mouaaouy, 2018. "Financial crime ‘hot spots’ – empirical evidence from the foreign exchange market," The European Journal of Finance, Taylor & Francis Journals, vol. 24(7-8), pages 565-583, May.
    7. 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.
    8. Depeyrot, Jean-Noel & Duval, Marion, 2018. "‪Global Dairy Trade, plateforme électronique néo-zélandaise de commercialisation. Quelles opportunités pour les marchés mondiaux de produits laitiers ?," Économie rurale, French Society of Rural Economics (SFER Société Française d'Economie Rurale), vol. 364(April-Jun).
    9. Li, Ming & Sun, Hang & Zong, Jichuan, 2021. "Intertemporal imitation behavior of interbank offered rate submissions," Journal of Banking & Finance, Elsevier, vol. 132(C).
    10. Nuria Boot & Timo Klein & Maarten Pieter Schinkel, 2017. "Collusive Benchmark Rates Fixing," Discussion Papers of DIW Berlin 1715, DIW Berlin, German Institute for Economic Research.
    11. Bahoo, Salman, 2020. "Corruption in banks: A bibliometric review and agenda," Finance Research Letters, Elsevier, vol. 35(C).
    12. Florian Neitzert & Matthias Petras, 2022. "Corporate social responsibility and bank risk," Journal of Business Economics, Springer, vol. 92(3), pages 397-428, April.
    13. Alexander Eisl & Rainer Jankowitsch & Marti G. Subrahmanyam, 2017. "The Manipulation Potential of Libor and Euribor," European Financial Management, European Financial Management Association, vol. 23(4), pages 604-647, September.
    14. Carpenter, Seth B. & Demiralp, Selva & Senyuz, Zeynep, 2016. "Volatility in the federal funds market and money market spreads during the financial crisis," Journal of Financial Stability, Elsevier, vol. 25(C), pages 225-233.
    15. Alan De Genaro & Marco Avellaneda, 2018. "Pricing Interest Rate Derivatives Under Monetary Changes," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 21(06), pages 1-28, September.
    16. Rodríguez-López, Araceli & Fernández-Abascal, Hermenegildo & Maté-García, Jorge-Julio & Rodríguez-Fernández, José-Miguel & Rojo-García, José-Luis & Sanz-Gómez, José-Antonio, 2021. "Evaluating Euribor Manipulation: Effects on Mortgage Borrowers," Finance Research Letters, Elsevier, vol. 40(C).
    17. Cui, Jin & In, Francis & Maharaj, Elizabeth Ann, 2016. "What drives the Libor–OIS spread? Evidence from five major currency Libor–OIS spreads," International Review of Economics & Finance, Elsevier, vol. 45(C), pages 358-375.
    18. Jiyoung Lee & Jung Jae Kim & Jinook Jeong, 2022. "An Empirical Assessment of Collusion in the Negotiable Certificates of Deposit Market in Korea: A Discriminant Analysis," Asian Economic Journal, East Asian Economic Association, vol. 36(2), pages 203-223, June.

    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. Marcela Sabaté, 2009. "Vertical Specialization and Nonstationarities in International Trade Series," The Institute for International Integration Studies Discussion Paper Series iiisdp309, IIIS.
    2. Olivier Darné & Claude Diebolt, 2006. "Chocs temporaires et permanents dans le PIB de la France, du Royaume-Uni et des États-Unis," Revue d'économie politique, Dalloz, vol. 116(1), pages 65-78.
    3. Noriega, Antonio E., 2004. "Long-run monetary neutrality and the unit-root hypothesis: further international evidence," The North American Journal of Economics and Finance, Elsevier, vol. 15(2), pages 179-197, August.
    4. Henry, Olan T. & Shields, Kalvinder, 2004. "Is there a unit root in inflation?," Journal of Macroeconomics, Elsevier, vol. 26(3), pages 481-500, September.
    5. Philippe Andrade & Catherine Bruneau, 2002. "Excess returns, portfolio choices and exchange rate dynamics. The yen/dollar case, 1980–1998," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 64(3), pages 233-256, July.
    6. Giorgio Canarella & Stephen M. Miller & Stephen K. Pollard, 2010. "Unit Roots and Structural Change: An Application to US House-Price Indices," Working papers 2010-04, University of Connecticut, Department of Economics, revised Dec 2010.
    7. Fatih Kaplan & Ayşe E. Ünal, 2020. "Industrial Production Index - Crude Oil Price Nexus: Russia, Kazakhstan And Azerbaijan," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 65(227), pages 119-142, October –.
    8. Caporale, Guglielmo Maria & Helmi, Mohamad Husam & Çatık, Abdurrahman Nazif & Menla Ali, Faek & Akdeniz, Coşkun, 2018. "Monetary policy rules in emerging countries: Is there an augmented nonlinear taylor rule?," Economic Modelling, Elsevier, vol. 72(C), pages 306-319.
    9. Jeng-Bau Lin & Chin-Chia Liang & Wei Tsai, 2019. "Nonlinear Relationships between Oil Prices and Implied Volatilities: Providing More Valuable Information," Sustainability, MDPI, vol. 11(14), pages 1-15, July.
    10. Teti̇k, Metin, 2020. "Testing of leader-follower interaction between fed and emerging countries’ central banks," The Journal of Economic Asymmetries, Elsevier, vol. 22(C).
    11. Darne, Olivier & Diebolt, Claude, 2004. "Unit roots and infrequent large shocks: new international evidence on output," Journal of Monetary Economics, Elsevier, vol. 51(7), pages 1449-1465, October.
    12. Chowdhury, Khorshed, 2007. "Are The Real Exchange Rate Indices of Australia Non-Stationary in the Presence of Structural Break?," Economics Working Papers wp07-05, School of Economics, University of Wollongong, NSW, Australia.
    13. Trofimov, Ivan D., 2018. "The secular decline in profit rates: time series analysis of a classical hypothesis," MPRA Paper 88248, University Library of Munich, Germany.
    14. Giorgio Canarella & Rangan Gupta & Stephen M. Miller & Stephen K. Pollard, 2019. "Unemployment rate hysteresis and the great recession: exploring the metropolitan evidence," Empirical Economics, Springer, vol. 56(1), pages 61-79, January.
    15. Monojit Chatterji & Homagni Choudhury, 2010. "The Changing Inter-Industry Wage Structure of the Organised Manufacturing Sector in India, 1973-74 to 2003-04," Dundee Discussion Papers in Economics 244, Economic Studies, University of Dundee.
    16. Caporale, Guglielmo Maria & Kontonikas, Alexandros, 2009. "The Euro and inflation uncertainty in the European Monetary Union," Journal of International Money and Finance, Elsevier, vol. 28(6), pages 954-971, October.
    17. Zeynel Abidin Ozdemir & Mehmet Balcilar & Aysit Tansel, 2013. "International Labour Force Participation Rates By Gender: Unit Root Or Structural Breaks?," Bulletin of Economic Research, Wiley Blackwell, vol. 65, pages 142-164, May.
    18. Joseph V. Balagtas & Matthew T. Holt, 2009. "The Commodity Terms of Trade, Unit Roots, and Nonlinear Alternatives: A Smooth Transition Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(1), pages 87-105.
    19. Khorshed Chowdhury, 2011. "Dynamics, Structural Breaks and the Determinants of the Real Exchange Rate of Australia," Economics Working Papers wp11-11, School of Economics, University of Wollongong, NSW, Australia.
    20. Razvan Pascalau, 2010. "Unit root tests with smooth breaks: an application to the Nelson-Plosser data set," Applied Economics Letters, Taylor & Francis Journals, vol. 17(6), pages 565-570.

    More about this item

    Keywords

    LIBOR; LIBOR manipulation; nonlinear model;
    All these keywords.

    JEL classification:

    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

    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:hal:journl:hal-01160060. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.