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Master's Dissertation
DOI
https://doi.org/10.11606/D.45.2009.tde-20230727-113500
Document
Author
Full name
Plinio Lucas Dias Andrade
E-mail
Institute/School/College
Knowledge Area
Date of Defense
Published
São Paulo, 2009
Supervisor
Title in Portuguese
A influência de valores moderados de perdas individuais nos valores extremos da perda agregada com aplicação em risco operacional
Keywords in Portuguese
Análise De Risco
Método De Monte Carlo
Abstract in Portuguese
O problema ao qual nos dedicamos no presente trabalho surgiu na aplicaçao do modelo de perda agregada para estimaçao em risco operacional. Na area de risco operacional, nosso interesse é a estimaçao de altos quantis da funçao de distribuiçao da perda agregada. Estes quantis dependem fortemente do comportamento da cauda direita da distribuiçao de perdas individuais. Os valores moderados de perdas individuais podem ou nao influenciar os quantis de interesse. Estudamos esta influencia e propomos estimativas apropriadas, para posteriormente verificar- mos nossos resultados teoricos em um conjunto de dados. Esta verificaçao demanda de uma analise detalhada de metodos matematicos envolvidos no calculo da perda acumulada no modelo de perda agregada. A analise desenvolvida por nos fornece resultados que podem ser de interesse para o desenvolvimento deste modelo no tratamento de risco operacional.
Title in English
not available
Abstract in English
The problem addressed in the present work arises in application of the aggregate loss model for estimating operational risk. In the operational risk area, the estimation is focused on high quantiles of the distribution function of the aggregate loss. These quantiles depend strongly on the behavior of the right tail of the distribution of the individual loss. The moderate values of individual losses may or may not influence the quantiles in interest. We study this influence and provide appropriate estimates. We then verify our theoretical results on a set of data. The verification required a detailed analysis of mathematical methods involved in the calculation of the aggregate loss in the aggregate loss model. The analysis carried out by us here provide results that may be of independent interest for the employment of this model in treatment of operational risk.
 
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Publishing Date
2023-07-27
 
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