bibtype J - Journal Article
ARLID 0349551
utime 20240111140746.8
mtime 20101116235959.9
title (primary) (eng) Modeling a Distribution of Mortgage Credit Losses
specification
page_count 23 s.
serial
title IES Working Papers
volume_id 23
volume 23 (2010)
page_num 1-23
keyword Credit Risk
keyword Mortgage
keyword Delinquency Rate
keyword Generalized Hyperbolic Distribution
keyword Normal Distribution
author (primary)
ARLID cav_un_auth*0264433
name1 Gapko
name2 Petr
full_dept (cz) Ekonometrie
full_dept (eng) Department of Econometrics
department (cz) E
department (eng) E
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101206
name1 Šmíd
name2 Martin
full_dept (cz) Ekonometrie
full_dept Department of Econometrics
department (cz) E
department E
institution UTIA-B
full_dept Department of Econometrics
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
source_type PDF
url http://library.utia.cas.cz/separaty/2010/E/gapko-modeling a distribution of mortgage credit losses-ies wp.pdf
cas_special
project
project_id 46108
agency Univerzita Karlova - GAUK
country CZ
project
project_id GA402/09/0965
agency GA ČR
ARLID cav_un_auth*0253176
project
project_id GD402/09/H045
agency GA ČR
ARLID cav_un_auth*0253998
research CEZ:AV0Z10750506
abstract (eng) One of the biggest risks arising from financial operations is the risk of counterparty default, commonly known as a “credit risk”. Leaving unmanaged, the credit risk would, with a high probability, result in a crash of a bank. In our paper, we will focus on the credit risk quantification methodology. We will demonstrate that the current regulatory standards for credit risk management are at least not perfect, despite the fact that the regulatory framework for credit risk measurement is more developed than systems for measuring other risks, e.g. market risks or operational risk. Generalizing the well known KMV model, standing behind Basel II, we build a model of a loan portfolio involving a dynamics of the common factor, influencing the borrowers’ assets, which we allow to be non-normal. We show how the parameters of our model may be estimated by means of past mortgage deliquency rates.
reportyear 2011
RIV AH
permalink http://hdl.handle.net/11104/0189756
arlyear 2010
mrcbU56 PDF
mrcbU63 IES Working Papers Roč. 23 č. 23 2010 1 23