Measuring the Recovery Performance of a Portfolio of NPLs

Author:

Carleo Alessandra1ORCID,Rocci Roberto2,Staffa Maria Sole3

Affiliation:

1. Department of Business Economics, Roma Tre University, 00145 Rome, Italy

2. Department of Statistical Sciences, Sapienza University, 00185 Rome, Italy

3. Human Sciences Department, European University of Rome, 00163 Rome, Italy

Abstract

The objective of the present paper is to propose a new method to measure the recovery performance of a portfolio of non-performing loans (NPLs) in terms of recovery rate and time to liquidate. The fundamental idea is to draw a curve representing the recovery rates over time, here assumed discretized, for example, in years. In this way, the user can get simultaneously information about recovery rate and time to liquidate of the portfolio. In particular, it is discussed how to estimate such a curve in the presence of right-censored data, e.g., when the NPLs composing the portfolio have been observed in different time periods, with a method based on an algorithm that is usually used in the construction of survival curves. The curves obtained are smoothed with nonparametric statistical learning techniques. The effectiveness of the proposal is shown by applying the method to simulated and real financial data. The latter are about some portfolios of Italian unsecured NPLs taken over by a specialized operator.

Publisher

MDPI AG

Subject

Applied Mathematics,Modeling and Simulation,General Computer Science,Theoretical Computer Science

Reference38 articles.

1. Resti, A., and Sironi, A. (2007). Risk Management and Shareholders’ Value in Banking, John Wiley & Sons.

2. Basel Committee on Banking Supervision (2001). The Internal Ratings-Based Approach, Bank for International Settlements. Available online: https://www.bis.org/publ/bcbsca05.pdf.

3. Basel Committee on Banking Supervision (2008). Principles for Sound Liquidity Risk Management and Supervision, Bank for International Settlements. Available online: http://www.bis.org/publ/bcbs144.pdf.

4. Basel Committee on Banking Supervision (2017). Basel III: Finalising Post-Crisis Reforms, Bank for International Settlements. Available online: https://www.bis.org/bcbs/publ/d524.pdf.

5. European Banking Authority (2023, January 30). Guidelines on PD Estimation, LGD Estimation and the Treatment of Defaulted Exposure. Available online: https://www.eba.europa.eu/sites/default/documents/files/documents/10180/2033363/6b062012-45d6-4655-af04-801d26493ed0/Guidelines%20on%20PD%20and%20LGD%20estimation%20%28EBA-GL-2017-16%29.pdf?retry=1.

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