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The Strathprints institutional repository is a digital archive of University of Strathclyde research outputs.

Strathprints serves world leading Open Access research by the University of Strathclyde, including research by the Strathclyde Institute of Pharmacy and Biomedical Sciences (SIPBS), where research centres such as the Industrial Biotechnology Innovation Centre (IBioIC), the Cancer Research UK Formulation Unit, SeaBioTech and the Centre for Biophotonics are based.

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Estimating value-at-risk for Chinese stock market by switching regime ARCH model

Ip, W. and Wong, H. and Pan, J. and Yuan, K. (2006) Estimating value-at-risk for Chinese stock market by switching regime ARCH model. Journal of Industrial and Management Optimization, 2 (2). pp. 145-163. ISSN 1547-5816

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Abstract

This paper proposes a method of estimating Value at Risk (VaR) based on the assumption that the financial returns follow a switching regime ARCH model. We use the simple switching-regime model, the traditional GARCH(1,1) model and the switching-regime ARCH model to do some empirical analysis and to calculate the VaR values under different confidence levels for Shanghai and Shenzhen Stock Index. The calculated VaR values are com- pared. The results of back-testing and the Proportion of Failure test show the VaR values calculated by the switching-regime ARCH model are preferred to other methods.