Computation (Feb 2023)

Measuring the Recovery Performance of a Portfolio of NPLs

  • Alessandra Carleo,
  • Roberto Rocci,
  • Maria Sole Staffa

DOI
https://doi.org/10.3390/computation11020029
Journal volume & issue
Vol. 11, no. 2
p. 29

Abstract

Read online

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.

Keywords