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Please use this identifier to cite or link to this item: https://hdl.handle.net/10119/13485

Title: Using Conditional Copula to Estimate Value-at-Risk in Vietnam's Foreign Exchange Market
Authors: Nguyen, Vu-Linh
Huynh, Van-Nam
Keywords: Copula
Value at risk
AR(1)-GARCH(1; 1)
foreign exchange market
Issue Date: 2014-12-16
Publisher: Springer
Magazine name: Econometrics of Risk, Studies in Computational Intelligence
Volume: 583
Start page: 471
End page: 482
DOI: 10.1007/978-3-319-13449-9_33
Abstract: In this paper, we briefly review the basics of copula theory and the problem of estimating Value-at-Risk (VaR) of portfolio composed by several assets. We present two VaR estimation models in which each return series is assumed to follow AR(1)-GARCH(1, 1) model and the innovations are simultaneously generated using Gaussian copula and Student t copula. The presented models are applied to estimate VaR of a portfolio consisting of 6 currencies to VND. The results are compared with results from two VaR estimation models using AR(1)-GARCH(1, 1) model and the innovations are separately generated using univariate standard normal and Student t distribution.
Rights: This is the author-created version of Springer, Vu-Linh Nguyen, Van-Nam Huynh, Econometrics of Risk, Volume 583 of the series Studies in Computational Intelligence, 2014, pp.471-482. The original publication is available at www.springerlink.com, http://dx.doi.org/10.1007/978-3-319-13449-9_33
URI: https://hdl.handle.net/10119/13485
Material Type: author
Appears in Collections:a10-1. 雑誌掲載論文 (Journal Articles)

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