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...

Full description

Bibliographic Details
Main Authors: Peter-Hendrik Ingermann, Frederik Hesse, Christian Bélorgey, Andreas Pfingsten
Format: Article
Language:English
Published: Springer 2016-03-01
Series:Business Research
Subjects:
Online Access:http://link.springer.com/article/10.1007/s40685-016-0028-5
id doaj-4b8bc64865cb499c942633678b8d5424
record_format Article
spelling 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
work_keys_str_mv AT peterhendrikingermann therecoveryrateforretailandcommercialcustomersingermanyalookatcollateralanditsadjustedmarketvalues
AT frederikhesse therecoveryrateforretailandcommercialcustomersingermanyalookatcollateralanditsadjustedmarketvalues
AT christianbelorgey therecoveryrateforretailandcommercialcustomersingermanyalookatcollateralanditsadjustedmarketvalues
AT andreaspfingsten therecoveryrateforretailandcommercialcustomersingermanyalookatcollateralanditsadjustedmarketvalues
AT peterhendrikingermann recoveryrateforretailandcommercialcustomersingermanyalookatcollateralanditsadjustedmarketvalues
AT frederikhesse recoveryrateforretailandcommercialcustomersingermanyalookatcollateralanditsadjustedmarketvalues
AT christianbelorgey recoveryrateforretailandcommercialcustomersingermanyalookatcollateralanditsadjustedmarketvalues
AT andreaspfingsten recoveryrateforretailandcommercialcustomersingermanyalookatcollateralanditsadjustedmarketvalues
_version_ 1721173201647566848