Quantification of operational risk under Basel II

the good, bad and ugly

Quantification of operational risk under Basel II by Imad A. Moosa, Imad A. Moosa
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Quantification of operational risk under Basel II

the good, bad and ugly

This book presents arguments that are critical of the Basel II Accord, particularly the advanced measurement approach to operational risk. It identifies the good, bad and ugly with respect to practices pertaining to the implementation of the operational risk provisions of Basel II. In particular, it is argued that the advanced measurement approach is not viable in terms of costs and benefits and that it is likely to distract financial institutions from the real task of managing operational risk. Some strong arguments are presented against the purely quantitative approach to operational risk management. The author demonstrates how the estimated capital charge produced by using the loss distribution approach suggested by Basel II is so sensitive to the underlying assumptions that banks can manipulate their internal models in such a way as to produce the lowest possible capital charge. Given that the advanced measurement approach will be used by large internationally active banks only, the Basel II Accord will actually boost competitive inequality when it purports to create a level playing field.

Publish Date
Publisher
Palgrave Macmillan
Language
English
Pages
268
Edition Availability
Cover of: Quantification of operational risk under Basel II
Quantification of operational risk under Basel II: the good, bad and ugly
2009, Palgrave Macmillan
in English

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Book Details


Edition Notes

Includes index.

Published in
New York
Series
Finance and capital markets series

Classifications

Dewey Decimal Class
332.1/50681
Library of Congress
HD61 .M6144 2009, HD61HF5601-5688HF566, HD61 .M6144 2008

The Physical Object

Pagination
p. cm.
Number of pages
268

Edition Identifiers

Open Library
OL22501655M
ISBN 13
9780230222663
LCCN
2008037609
OCLC/WorldCat
244566811
LibraryThing
9457018
Goodreads
5087322

Work Identifiers

Work ID
OL3343828W

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