IDEAS home Printed from https://ideas.repec.org/a/gam/jrisks/v11y2023i5p96-d1150066.html
   My bibliography  Save this article

A Non-Performing Loans (NPLs) Portfolio Pricing Model Based on Recovery Performance: The Case of Greece

Author

Listed:
  • Alexandra Z. Marouli

    (Laboratory of Industrial and Energy Economy, National Technical University of Athens, 15780 Athens, Greece)

  • Eugenia N. Giannini

    (Laboratory of Law and Technical Legislation, National Technical University of Athens, 15780 Athens, Greece)

  • Yannis D. Caloghirou

    (Laboratory of Industrial and Energy Economy, National Technical University of Athens, 15780 Athens, Greece)

Abstract

In this paper, a method was proposed for pricing NPL portfolios, which is currently a crucial point in the portfolio transactions between the banks and NPL servicers. The method was based on a simple mathematical model which simulated the collection process of the NPL portfolios considering the debtors’ behavioral response to various legal measures (phone calls, extrajudicial notices, court orders, and foreclosures). The model considered the recovery distribution over time and was applied successfully to the case of Greece. The model was also used to predict recovery, cost, and profit future cash flows, and to optimize the collection strategies related to the activation periods of different measures. A sensitivity analysis was also conducted to reveal the most significant factors affecting the collection process.

Suggested Citation

  • Alexandra Z. Marouli & Eugenia N. Giannini & Yannis D. Caloghirou, 2023. "A Non-Performing Loans (NPLs) Portfolio Pricing Model Based on Recovery Performance: The Case of Greece," Risks, MDPI, vol. 11(5), pages 1-17, May.
    • Handle: RePEc:gam:jrisks:v:11:y:2023:i:5:p:96-:d:1150066
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-9091/11/5/96/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-9091/11/5/96/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nicholas Bloom, 2009. "The Impact of Uncertainty Shocks," Econometrica, Econometric Society, vol. 77(3), pages 623-685, May.
    2. Eftychia Nikolaidou & Sofoklis Vogiazas, 2014. "Credit Risk Determinants for the Bulgarian Banking System," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 20(1), pages 87-102, February.
    3. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    4. Florian Manz & Birgit Müller & Dirk Schiereck, 2020. "The pricing of European non-performing real estate loan portfolios: evidence on stock market evaluation of complex asset sales," Journal of Business Economics, Springer, vol. 90(7), pages 1087-1120, August.
    5. Hui Ye & Anthony Bellotti, 2019. "Modelling Recovery Rates for Non-Performing Loans," Risks, MDPI, vol. 7(1), pages 1-17, February.
    6. Claudia Girardone & Philip Molyneux & Edward Gardener, 2004. "Analysing the determinants of bank efficiency: the case of Italian banks," Applied Economics, Taylor & Francis Journals, vol. 36(3), pages 215-227.
    7. Gila-Gourgoura, E. & Nikolaidou, E., 2017. "Credit Risk Determinants in the Vulnerable Economies of Europe: Evidence from the Spanish Banking System," International Journal of Business and Economic Sciences Applied Research (IJBESAR), Democritus University of Thrace (DUTH), Kavala Campus, Greece, vol. 10(1), pages 60-71, March.
    8. Manz, Florian & Müller, Birgit & Schiereck, Dirk, 2020. "The pricing of European non-performing real estate loan portfolios: evidence on stock market evaluation of complex asset sales," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 124734, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    Full references (including those not matched with items on IDEAS)

    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. Nikolay Hristov & Markus Roth, 2019. "Uncertainty Shocks and Financial Crisis Indicators," CESifo Working Paper Series 7839, CESifo.
    2. Idriss Fontaine, 2021. "Uncertainty and Labour Force Participation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(2), pages 437-471, April.
    3. Salzmann, Leonard, 2020. "The Impact of Uncertainty and Financial Shocks in Recessions and Booms," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224588, Verein für Socialpolitik / German Economic Association.
    4. Yoshito Funashima, 2022. "Economic policy uncertainty and unconventional monetary policy," Manchester School, University of Manchester, vol. 90(3), pages 278-292, June.
    5. Li, Xiao-Ming, 2017. "New evidence on economic policy uncertainty and equity premium," Pacific-Basin Finance Journal, Elsevier, vol. 46(PA), pages 41-56.
    6. Diakonova, Marina & Molina, Luis & Mueller, Hannes & Pérez, Javier J. & Rauh, Christopher, 2024. "The information content of conflict, social unrest and policy uncertainty measures for macroeconomic forecasting," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 5(4).
    7. Miescu, Mirela & Rossi, Raffaele, 2021. "COVID-19-induced shocks and uncertainty," European Economic Review, Elsevier, vol. 139(C).
    8. Juan M. Londono & Mehrdad Samadi, 2023. "The Price of Macroeconomic Uncertainty: Evidence from Daily Options," International Finance Discussion Papers 1376, Board of Governors of the Federal Reserve System (U.S.).
    9. Alessandro Paolo Rigamonti & Giulio Greco & Mariarita Pierotti & Alessandro Capocchi, 2024. "Macroeconomic uncertainty and earnings management: evidence from commodity firms," Review of Quantitative Finance and Accounting, Springer, vol. 62(4), pages 1615-1649, May.
    10. Bennani, Hamza, 2018. "Media coverage and ECB policy-making: Evidence from an augmented Taylor rule," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 26-38.
    11. Khanh Hoang, 2022. "How does corporate R&D investment respond to climate policy uncertainty? Evidence from heavy emitter firms in the United States," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 29(4), pages 936-949, July.
    12. Philip Barrett & Mariia Bondar & Sophia Chen & Mali Chivakul & Deniz Igan, 2024. "Pricing protest: the response of financial markets to social unrest," Review of Finance, European Finance Association, vol. 28(4), pages 1419-1450.
    13. Philippe Goulet Coulombe & Maxime Leroux & Dalibor Stevanovic & Stéphane Surprenant, 2022. "How is machine learning useful for macroeconomic forecasting?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(5), pages 920-964, August.
    14. Azzimonti, Marina, 2019. "Does partisan conflict deter FDI inflows to the US?," Journal of International Economics, Elsevier, vol. 120(C), pages 162-178.
    15. Raza, Syed Ali & Masood, Amna & Benkraiem, Ramzi & Urom, Christian, 2023. "Forecasting the volatility of precious metals prices with global economic policy uncertainty in pre and during the COVID-19 period: Novel evidence from the GARCH-MIDAS approach," Energy Economics, Elsevier, vol. 120(C).
    16. Wensheng Kang & Ronald A. Ratti & Joaquin Vespignani, 2020. "Impact of global uncertainty on the global economy and large developed and developing economies," Applied Economics, Taylor & Francis Journals, vol. 52(22), pages 2392-2407, May.
    17. Shin, Minchul & Zhang, Boyuan & Zhong, Molin & Lee, Dong Jin, 2018. "Measuring international uncertainty: The case of Korea," Economics Letters, Elsevier, vol. 162(C), pages 22-26.
    18. Tung Nguyen & Dimitris Petmezas & Nikolaos Karampatsas, 2023. "Does Terrorism Affect Acquisitions?," Management Science, INFORMS, vol. 69(7), pages 4134-4168, July.
    19. Arigoni, Filippo & Lenarčič, Črt, 2020. "The impact of trade policy uncertainty shocks on the Euro Area," MPRA Paper 100832, University Library of Munich, Germany.
    20. Geert Bekaert & Eric C. Engstrom & Nancy R. Xu, 2022. "The Time Variation in Risk Appetite and Uncertainty," Management Science, INFORMS, vol. 68(6), pages 3975-4004, June.

    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:gam:jrisks:v:11:y:2023:i:5:p:96-:d:1150066. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.