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Risk Management based on GARCH and Non-parametric stochastic volatility models and some cases of Generalized Hyperbolic distribution

<p>The paper is devoted to the modern methods of Value-at-Risk calculation using different cases of Generalized Hyperbolic distribution and models for predicting volatility. In our research we use GARCH-M and Non-parametric volatility models and compare Value-at-Risk calculation depending on the distribution that is used. In the case of Non-parametric model corresponding windows are proved by the Cross Validation method. Furthermore in our work we consider adaption of the method to intraday data using ACD and UHF-GARCH models. The project involves also application of the developed methods to real financial data and comparable analysis of the obtained results.</p>

Identiferoai:union.ndltd.org:UPSALLA/oai:DiVA.org:hh-2201
Date January 2008
CreatorsMidov, Askerbi, Balashov, Konstantin
PublisherHalmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Högskolan i Halmstad/Sektionen för Informationsvetenskap, Data- och Elektroteknik (IDE)
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeStudent thesis, text

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