IDEAS home Printed from https://ideas.repec.org/p/ulb/ulbeco/2013-14303.html
   My bibliography  Save this paper

Residual value risk in the leasing industry: A European case

Author

Listed:
  • Hugues Pirotte
  • Céline Vaessen

Abstract

This paper is dedicated to recovery and residual value risks' modelling issues of automotive lease portfolios. First, loss-given-default distributions are estimated and compared for different samples based on risk drivers. Second, the residual value risk is approached through a resampling technique to provide one of the first empirical analysis on residual value losses in the automotive lease sector. Probability density function of losses and Value-at-risk measures are estimated on the basis of a private database comprising a unique set of 4828 individual automotive lease contracts issued between 1990 and 2001 by a major European financial institution. Then, a discussion is led in relation to the capital requirements related to residual value risk stemming from the Basel II Accord. As the greatest part of recovery risk is diversifiable, our conclusion is that a wider recognition of physical collateral in capital adequacy regulations should allow us to better reflect the relatively low-risk profile of automotive lease exposures.

Suggested Citation

  • Hugues Pirotte & Céline Vaessen, 2008. "Residual value risk in the leasing industry: A European case," ULB Institutional Repository 2013/14303, ULB -- Universite Libre de Bruxelles.
    • Handle: RePEc:ulb:ulbeco:2013/14303
    Note: SCOPUS: cp.j
    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. Michael ARTIS & Massimiliano MARCELLINO & Tommaso PROIETTI, 2002. "Dating the Euro Area Business Cycle," Economics Working Papers ECO2002/24, European University Institute.
    2. Daniel M. Covitz & Song Han, 2004. "An empirical analysis of bond recovery rates: exploring a structural view of default," Finance and Economics Discussion Series 2005-10, Board of Governors of the Federal Reserve System (U.S.).
    3. Jesper Gregers Linaa, "undated". "Idiosyncrasy of Business Cycles Across EU Countries," EPRU Working Paper Series 02-08, Economic Policy Research Unit (EPRU), University of Copenhagen. Department of Economics.
    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. Hartmann-Wendels, Thomas & Elbracht, Hans Christian, 2010. "Ermittlung und Schätzung des Loss Given Default im Leasing: Die Verlustquote als Mischverteilung," Leasing - Wissenschaft & Praxis, Universität zu Köln, Forschungsinstitut für Leasing, vol. 8(1), pages 67-80.
    2. Ju, Yonghan & Jeon, Song Yi & Sohn, So Young, 2015. "Behavioral technology credit scoring model with time-dependent covariates for stress test," European Journal of Operational Research, Elsevier, vol. 242(3), pages 910-919.
    3. Florian Kaposty & Philipp Klein & Matthias Löderbusch & Andreas Pfingsten, 2022. "Loss given default in SME leasing," Review of Managerial Science, Springer, vol. 16(5), pages 1561-1597, July.
    4. E. Petrova A. & Е. Петрова А., 2014. "Оценка Риска Остаточной Стоимости Секьюритизированного Пула Активов Оперативного Лизинга // A Securitized Pool Of Operating Lease Assets And Its Residual Value Risk Evaluation," Финансы: теория и практика/Finance: Theory and Practice // Finance: Theory and Practice, ФГОБУВО Финансовый университет при Правительстве Российской Федерации // Financial University under The Government of Russian Federation, issue 3, pages 127-138.
    5. Петрова Екатерина Александровна, 2014. "Оценка Риска Остаточной Стоимости Секьюритизированного Пула Активов Оперативного Лизинга," Вестник Финансового университета, CyberLeninka;Федеральное государственное образовательное бюджетное учреждение высшего профессионального образования «Финансовый университет при Правительстве Российской Федерации» (Финансовый университет), issue 3, pages 127-138.

    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. Douglas Sutherland & Peter Hoeller & Balázs Égert & Oliver Röhn, 2010. "Counter-cyclical Economic Policy," OECD Economics Department Working Papers 760, OECD Publishing.
    2. Mario Cunha, 2010. "Modelling the Cyclical Behaviour of Wine Production in the Douro Region Using a Time-Varying Parameters Approach," Working Papers 2010.1, International Network for Economic Research - INFER.
    3. Avouyi-Dovi, S. & Matheron, J., 2003. "Interactions between business cycles, stock market cycles and interest rates: the stylised facts," Financial Stability Review, Banque de France, issue 3, pages 80-99, November.
    4. Domenico Giannone & Michele Lenza & Lucrezia Reichlin, 2010. "Business Cycles in the Euro Area," NBER Chapters, in: Europe and the Euro, pages 141-167, National Bureau of Economic Research, Inc.
    5. Maria Antoinette Silgoner & Jesús Crespo-Cuaresma & Gerhard Reitschuler, 2003. "The Fiscal Smile: The Effectiveness and Limits of Fiscal Stabilizers," IMF Working Papers 2003/182, International Monetary Fund.
    6. Massmann, Michael & Mitchell, James, 2003. "Reconsidering the evidence: Are Eurozone business cycles converging," ZEI Working Papers B 05-2003, University of Bonn, ZEI - Center for European Integration Studies.
    7. Artis, Michael, 2002. "Dating the Business Cycle in Britain," National Institute Economic Review, National Institute of Economic and Social Research, vol. 182, pages 90-95, October.
    8. Mora, Nada, 2015. "Creditor recovery: The macroeconomic dependence of industry equilibrium," Journal of Financial Stability, Elsevier, vol. 18(C), pages 172-186.
    9. Heather Anderson & Mardi Dungey & Denise Osborn & Farshid Vahid, 2007. "Constructing Historical Euro Area Data," Money Macro and Finance (MMF) Research Group Conference 2006 99, Money Macro and Finance Research Group.
    10. Mirko Abbritti; Sebastian Weber, 2008. "Labor Market Rigidities and the Business Cycle: Price vs. Quantity Restricting Institutions," IHEID Working Papers 01-2008, Economics Section, The Graduate Institute of International Studies, revised Jan 2008.
    11. Luis J. Álvarez & Alberto Cabrero, 2010. "Does housing really lead the business cycle?," Working Papers 1024, Banco de España.
    12. Mikael Bask & Jarko Fidrmuc, 2009. "Fundamentals and Technical Trading: Behavior of Exchange Rates in the CEECs," Open Economies Review, Springer, vol. 20(5), pages 589-605, November.
    13. Fabrizio Carmignani, 2010. "Endogenous Optimal Currency Areas: the Case of the Central African Economic and Monetary Community," Journal of African Economies, Centre for the Study of African Economies, vol. 19(1), pages 25-51, January.
    14. Nikola A. Tarashev & Haibin Zhu, 2006. "The pricing of portfolio credit risk," BIS Working Papers 214, Bank for International Settlements.
    15. Andrew Hallett & Christian Richter, 2006. "Measuring the Degree of Convergence among European Business Cycles," Computational Economics, Springer;Society for Computational Economics, vol. 27(2), pages 229-259, May.
    16. Andrea Carriero & Massimiliano Marcellino, 2011. "Sectoral Survey‐based Confidence Indicators for Europe," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 73(2), pages 175-206, April.
    17. Peter Martey Addo & Monica Billio & Dominique Guegan, 2012. "Studies in Nonlinear Dynamics and Wavelets for Business Cycle Analysis," Documents de travail du Centre d'Economie de la Sorbonne 12023r, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Nov 2013.
    18. Olivier Darné & Amélie Charles & Claude Diebolt, 2014. "A revision of the US business-cycles chronology 1790-1928," Economics Bulletin, AccessEcon, vol. 34(1), pages 234-244.
    19. Emanuel Mönch & Harald Uhlig, 2005. "Towards a Monthly Business Cycle Chronology for the Euro Area," Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2005(1), pages 43-69.
    20. Daniel M. Covitz & Song Han & Beth Anne Wilson, 2006. "Are longer bankruptcies really more costly?," Finance and Economics Discussion Series 2006-27, Board of Governors of the Federal Reserve System (U.S.).

    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:ulb:ulbeco:2013/14303. 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: Benoit Pauwels (email available below). General contact details of provider: https://edirc.repec.org/data/ecsulbe.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.