Stable modeling of value at risk

Stable modeling of value at risk

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Article ID: iaor2004554
Country: Netherlands
Volume: 34
Issue: 9/11
Start Page Number: 1223
End Page Number: 1259
Publication Date: Nov 2001
Journal: Mathematical and Computer Modelling
Authors: , ,
Keywords: risk
Abstract:

The value-at-risk (VAR) measurements are widely applied to estimate exposure to market risks. The traditional approaches to VAR computations – the variance–covariance method, historical simulation, Monte Carlo simulation, and stress-testing – do not provide satisfactory evaluation of possible losses. In this paper, we analyze the use of stable Paretian distributions in VAR modelling.

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