Value-at-Risk Models Applied to Taiwan's Stock Market

Lin, Ching-Li (2008) Value-at-Risk Models Applied to Taiwan's Stock Market. [Dissertation (University of Nottingham only)] (Unpublished)

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Abstract

In this paper, the parametric normal method, the historical simulation method and the Monte Carlo simulation method are applied to Taiwan's stock marekt estimating the one-day 95% and 99% VaRs for the electronic and banking & insurance sector indices. Then, the basic frequency backtesting and the conditional coverage testing are used to examine the performances of these VaR models. We find that all the approaches in question generate the accurate 95th percentile risk measures for both sector indices, while only the 250-day and 1000-day historical simulation methods produce the reasonable 99th percentile risk measures for both sector indices.

Item Type: Dissertation (University of Nottingham only)
Keywords: VAR
Depositing User: EP, Services
Date Deposited: 09 Jan 2009
Last Modified: 25 Oct 2016 04:06
URI: http://eprints.nottingham.ac.uk/id/eprint/22336

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