title: |
Modeling default probability in credit portfolios: evidence based on debt securities
issuers in Germany |
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contributing persons: |
Lavri Labi[VerfasserIn] |
|
1114925500 |
Rafael Weißbach
, Prof. Dr.[AkademischeR BetreuerIn] |
|
140879455 |
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Universität Rostock, Lehrstuhl für Statistik und Ökonometrie |
Doris Neuberger
, Prof. Dr.[AkademischeR BetreuerIn] |
|
121081648 |
|
Universität Rostock, Lehrstuhl für Geld und Kredit |
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contributing corporate bodies: |
Universität Rostock, Wirtschafts- und Sozialwissenschaftliche Fakultät[Grad-verleihende Institution] |
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2140292-9 |
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abstract: |
Implementation of reliable rating systems for small credit portfolio is hindered by
non-observed default events in databases and short time series of data available.
In this study we propose an approach to handle those two challenges while developing
rating systems. We further extend the approach by estimating systematic risk, that
is, co-movements of creditworthiness of debt securities' issuers over time. Based
on financial information from the PSVaG's debt securities portfolio, we could show
that including a systematic risk component significantly increase the model accuracy.
[English] |
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document type: |
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institution: |
Faculty of Economics and Social Sciences |
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language: |
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subject class (DDC): |
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publication / production: |
Rostock
Rostock: Universität Rostock
|
2017
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identifiers: |
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access condition: |
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license/rights statement: |
all rights reserved This work may only be used under the terms of the German Copyright Law (Urheberrechtsgesetz). |
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RosDok id: |
rosdok_disshab_0000001780 |
created / modified: |
26.09.2017 / 08.08.2023
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metadata license: |
The metadata of this document was dedicated to the public domain (CC0 1.0 Universal Public Domain Dedication). |