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Model averaging and value-at-risk based evaluation of large multi asset volatility models for risk management

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dc.creator Pesaran, Mohammad Hashem
dc.creator Zaffaroni, Paolo
dc.date 2004
dc.date.accessioned 2013-10-16T07:01:00Z
dc.date.available 2013-10-16T07:01:00Z
dc.date.issued 2013-10-16
dc.identifier http://hdl.handle.net/10419/18721
dc.identifier ppn:477506631
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/10419/18721
dc.description This paper considers the problem of model uncertainty in the case of multi-asset volatility models and discusses the use of model averaging techniques as a way of dealing with the risk of inadvertently using false models in portfolio management. In particular, it is shown that under certain conditions portfolio returns based on an average model will be more fat-tailed than if based on an individual underlying model with the same average volatility. Evaluation of volatility models is also considered and a simple Value-at-Risk (VaR) diagnostic test is proposed for individual as well as ?average? models and its exact and asymptotic properties are established. The model averaging idea and the VaR diagnostic tests are illustrated by an application to portfolios of daily returns based on twenty two of Standard & Poor?s 500 industry group indices over the period January 2, 1995 to October 13, 2003, inclusive.
dc.language eng
dc.relation CESifo working papers 1358
dc.rights http://www.econstor.eu/dspace/Nutzungsbedingungen
dc.subject C32
dc.subject C53
dc.subject G11
dc.subject C52
dc.subject ddc:330
dc.subject model averaging
dc.subject value-at-risk
dc.subject decision based evaluation
dc.subject Risikomanagement
dc.subject Value at Risk
dc.subject Portfolio-Management
dc.subject Optionspreistheorie
dc.subject Modell-Spezifikation
dc.title Model averaging and value-at-risk based evaluation of large multi asset volatility models for risk management
dc.type doc-type:workingPaper


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