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2008 | 3 | 1 | 23-33

Article title

Calculating VaR in EU Candidate States

Authors

Title variants

Languages of publication

EN

Abstracts

EN
This paper examines whether VaR models that are created and suited for developed and liquid markets apply to the volatile and shallow financial markets of EU candidate states. To this end, several VaR models are tested on five official stock indexes from EU candidate states over a period of 500 trading days. The tested VaR models are: a historical simulation with rolling windows of 50, 100, 250 and 500 days, a parametric variance-covariance approach, a BRW historical simulation, a RiskMetrics system and a variance-covariance approach using GARCH forecasts. Based on the backtesting results it can be concluded that VaR models that are commonly used in developed financial market are not well-suited to measuring market risk in EU candidate states. Using some of the most widespread VaR models in these circumstances may result in serious problems for both banks and regulators.

Keywords

EN
EU   VaR   VCV   EWMA   Historical simulation   BRW   ARCH   GARCH  

Publisher

Year

Volume

3

Issue

1

Pages

23-33

Physical description

Dates

published
2008-04-01
online
2008-04-14

Contributors

  • Faculty of Economics, University of Rijeka, Ivana Filipovića 4, Rijeka, Croatia

References

  • Boudoukh Jacob, Richardson Matthew, Whitelaw F. Robert, "The Best of Both Worlds: A hybrid Approach to Calculating Value at Risk", Risk, Vol.11., No. 5., May 1998. p. 64-67.
  • Jorion, Philippe, "Value at Risk, The New Benchmark for Managing Financial Risk", 2nd edition, New York, McGraw Hill, 2001.
  • Manganelli, Simone and Engle, Robert F., "Value at Risk models in Finance", ECB working paper series, No. 75., Aug 2001.
  • Žiković, Saša and Bezić, Heri, "Is historical simulation appropriate for measuring market risk?: A case of countries candidates for EU accession", CEDIMES conference, Ohrid, FYR Macedonia, 23-27 March 2006.

Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.doi-10_2478_v10033-008-0003-y
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