Midlands State University Library

Point-in-time loss-given default rates and exposures at default models for IFRS 9/CECL and stress testing/ (Record no. 167634)

MARC details
000 -LEADER
fixed length control field 02258nam a22002537a 4500
003 - CONTROL NUMBER IDENTIFIER
control field ZW-GwMSU
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20241009132330.0
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fixed length control field 241009b |||||||| |||| 00| 0 eng d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 17528887
040 ## - CATALOGING SOURCE
Original cataloging agency MSU
Language of cataloging English
Transcribing agency MSU
Description conventions rda
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number HD61.J687 JOU
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Chawla, Gaurav
Relator term author
245 10 - TITLE STATEMENT
Title Point-in-time loss-given default rates and exposures at default models for IFRS 9/CECL and stress testing/
Statement of responsibility, etc. created by Gaurav Chawla, Lawrence R. Forest and Scott D. Aguais
264 1# - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture London :
Name of producer, publisher, distributor, manufacturer Henry Stewart Publication,
Date of production, publication, distribution, manufacture, or copyright notice 2016.
336 ## - CONTENT TYPE
Source rdacontent
Content type term text
Content type code txt
337 ## - MEDIA TYPE
Source rdamedia
Media type term unmediated
Media type code n
338 ## - CARRIER TYPE
Source rdacarrier
Carrier type term volume
Carrier type code nc
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Journal of risk management in financial institutions
Volume/sequential designation Volume 9, number 3
520 3# - SUMMARY, ETC.
Summary, etc. In contrast with Basel II rules, which call for the use of through-the-cycle (TTC) probabilities of default (PDs) and downturn (DT) loss-given default rates (LGDs) and exposures at default (EADs), the regulatory stress tests and the new IFRS 9 and proposed Current Expected Credit Loss (CECL) accounting standards require institutions to use point-in-time (PIT) projections of PDs, LGDs and EADs. By accounting for the current state of the credit cycle, PIT measures track closely the variations in default and loss rates over time. In past publications the authors have described the derivation of industry-region credit-cycle indices (CCIs) and the use of those indices in converting legacy wholesale credit PD models, which typically understate cyclical variations, into fully PIT ones. This paper extends that framework to cover estimation of PIT LGDs and EADs for wholesale exposures. The authors offer options for the formulation of such models and discuss their experience in building PIT LGD and EAD models, and show that, by accounting for the probabilistic evolution over time in industry-region CCIs, one can derive joint, PD, LGD and EAD scenarios for use in the regulatory stress tests or in estimating the term structures of expected credit losses (ECLs) as needed for IFRS 9/CECL.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element IFRS 9/CECL
Form subdivision Expected credit loss (ECL)
General subdivision Exposure at default (EAD)
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Forest, Lawrence R.
Relator term co author
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Aguais, Scott D.
Relator term co author
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Journal Article
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Serial Enumeration / chronology Total Checkouts Full call number Date last seen Price effective from Koha item type Public note
    Library of Congress Classification     Main Library Main Library - Special Collections 17/10/2016 Vol. 9, no.3 (pages 249-263)   HD61.J687 JOU 09/10/2024 09/10/2024 Journal Article For in house use only