The recovery rate for retail and commercial customers in Germany: a look at collateral and its adjusted market values
Abstract Based on a unique data set of 909 defaulted retail and commercial (self-employed and SMEs) credit customers in Germany, whose original loans were made by 123 different banks, our article confirms a significant positive influence of collateral, and of amicable agreements between the debtor a...
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Online Access: | http://link.springer.com/article/10.1007/s40685-016-0028-5 |
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doaj-4b8bc64865cb499c942633678b8d54242021-09-02T15:53:57ZengSpringerBusiness Research2198-34022198-26272016-03-019217922810.1007/s40685-016-0028-5The recovery rate for retail and commercial customers in Germany: a look at collateral and its adjusted market valuesPeter-Hendrik Ingermann0Frederik Hesse1Christian Bélorgey2Andreas Pfingsten3Finance Center Muenster, University of MuensterFinance Center Muenster, University of MuensterFinance Center Muenster, University of MuensterFinance Center Muenster, University of MuensterAbstract Based on a unique data set of 909 defaulted retail and commercial (self-employed and SMEs) credit customers in Germany, whose original loans were made by 123 different banks, our article confirms a significant positive influence of collateral, and of amicable agreements between the debtor and the bank (redemption), on the recovery rate [1 − loss given default (LGD)]. In a further analysis of collateral, systematic biases between the realized market price and the expected market values of real estate are revealed, even though the appraisal reports should have already considered all factors influencing the value. Using valuations that were adjusted for these recognized biases, we can increase the explanatory power of the underlying models. Moreover, we compare these models to models that apply, as is common practice in the banking industry, flat haircuts to collateral values and show the superior performance of our proposed approach.http://link.springer.com/article/10.1007/s40685-016-0028-5RedemptionCollateral in real estateRecovery rateBank loansBasel II |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Peter-Hendrik Ingermann Frederik Hesse Christian Bélorgey Andreas Pfingsten |
spellingShingle |
Peter-Hendrik Ingermann Frederik Hesse Christian Bélorgey Andreas Pfingsten The recovery rate for retail and commercial customers in Germany: a look at collateral and its adjusted market values Business Research Redemption Collateral in real estate Recovery rate Bank loans Basel II |
author_facet |
Peter-Hendrik Ingermann Frederik Hesse Christian Bélorgey Andreas Pfingsten |
author_sort |
Peter-Hendrik Ingermann |
title |
The recovery rate for retail and commercial customers in Germany: a look at collateral and its adjusted market values |
title_short |
The recovery rate for retail and commercial customers in Germany: a look at collateral and its adjusted market values |
title_full |
The recovery rate for retail and commercial customers in Germany: a look at collateral and its adjusted market values |
title_fullStr |
The recovery rate for retail and commercial customers in Germany: a look at collateral and its adjusted market values |
title_full_unstemmed |
The recovery rate for retail and commercial customers in Germany: a look at collateral and its adjusted market values |
title_sort |
recovery rate for retail and commercial customers in germany: a look at collateral and its adjusted market values |
publisher |
Springer |
series |
Business Research |
issn |
2198-3402 2198-2627 |
publishDate |
2016-03-01 |
description |
Abstract Based on a unique data set of 909 defaulted retail and commercial (self-employed and SMEs) credit customers in Germany, whose original loans were made by 123 different banks, our article confirms a significant positive influence of collateral, and of amicable agreements between the debtor and the bank (redemption), on the recovery rate [1 − loss given default (LGD)]. In a further analysis of collateral, systematic biases between the realized market price and the expected market values of real estate are revealed, even though the appraisal reports should have already considered all factors influencing the value. Using valuations that were adjusted for these recognized biases, we can increase the explanatory power of the underlying models. Moreover, we compare these models to models that apply, as is common practice in the banking industry, flat haircuts to collateral values and show the superior performance of our proposed approach. |
topic |
Redemption Collateral in real estate Recovery rate Bank loans Basel II |
url |
http://link.springer.com/article/10.1007/s40685-016-0028-5 |
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