Modeling recovery rates of small- and medium-sized entities in the US
- A sound statistical model for recovery rates is required for various applications in quantitative risk management, with the computation of capital requirements for loan portfolios as one important example. We compare different models for predicting the recovery rate on borrower level including linear and quantile regressions, decision trees, neural networks, and mixture regression models. We fit and apply these models on the worldwide largest loss and recovery data set for commercial loans provided by GCD, where we focus on small- and medium-sized entities in the US. Additionally, we include macroeconomic information via a predictive Crisis Indicator or Crisis Probability indicating whether economic downturn scenarios are expected within the time of resolution. The horserace is won by the mixture regression model which regresses the densities as well as the probabilities that an observation belongs to a certain component.
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| Author: | Aleksey Min, Matthias Scherer, Amelie SchischkeGND, Rudi Zagst |
|---|---|
| URN: | urn:nbn:de:bvb:384-opus4-1166758 |
| Frontdoor URL | https://opus.bibliothek.uni-augsburg.de/opus4/116675 |
| ISSN: | 2227-7390OPAC |
| Parent Title (English): | Mathematics |
| Publisher: | MDPI AG |
| Place of publication: | Basel |
| Type: | Article |
| Language: | English |
| Year of first Publication: | 2020 |
| Publishing Institution: | Universität Augsburg |
| Release Date: | 2024/11/18 |
| Volume: | 8 |
| Issue: | 11 |
| First Page: | 1856 |
| DOI: | https://doi.org/10.3390/math8111856 |
| Institutes: | Mathematisch-Naturwissenschaftlich-Technische Fakultät |
| Mathematisch-Naturwissenschaftlich-Technische Fakultät / Institut für Materials Resource Management | |
| Mathematisch-Naturwissenschaftlich-Technische Fakultät / Institut für Materials Resource Management / Professur für Applied Data Analysis | |
| Dewey Decimal Classification: | 5 Naturwissenschaften und Mathematik / 50 Naturwissenschaften / 500 Naturwissenschaften und Mathematik |
| Licence (German): |  CC-BY 4.0: Creative Commons: Namensnennung (mit Print on Demand) |
