The aim of this paper is to analyze the sensitivity of Value at Risk (VaR) with respect to portfolio allocation. We derive analytical expresssions for the first and second derivatives of the Value at Risk, and explain how they can be used to simplify statistical inference and to perform a loval analysis of the Value at Risk. An empirical illustration of such an analysis is given for a portfolio of French Stocks.
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Paper provided by Institut National de la Statistique et des Etudes Economiques- in its series Papers with number
2000-05.
Length: 32 pages Date of creation: 2000 Date of revision: Handle: RePEc:fth:inseep:2000-05
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Find related papers by JEL classification: C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
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Rombouts, J.V.K. & Verbeek, M.J.C.M, 2004.
"Evaluating Portfolio Value-At-Risk Using Semi-Parametric GARCH Models,"
Research Paper
ERS-2004-107-F&A Revision, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni.
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