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Residual value risk in the leasing industry: A European case

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  • 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

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    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.
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    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.

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