Quantifying Extreme Market Risk in the selected Western Balkan Countries

Nikola Radivojević, N. Ćurčić, Marija Marčetić
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引用次数: 3

Abstract

The purpose of this paper is to investigate the performance of unconditional and conditional Value at Risk ( VaR ) and Expected Shortfall (ES) models based on EVT. The application of one unconditional VaR and ES model based on EVT and three variants of conditional models of VaR and ES based on EVT in the capital markets of the selected WBC was tested in the paper. To test the VaR model, a conditional and unconditional cover test was used, with the note that their results were subject to verification using the Monte Carlo test procedure. The obtained results suggests that these models can be successfully used to quantify extreme market risk in selected markets, in the context of Basel standards. ES models have been tested and ranked using loss function. By using the Bootstrap simulation, these results are subject to verification. The obtained results does not reveal which model is most suitable for the selected markets, since they are differently ranked in different markets.
量化所选西巴尔干国家的极端市场风险
本文的目的是研究基于EVT的无条件和条件风险价值(VaR)和预期缺口(ES)模型的性能。本文测试了一个基于EVT的无条件VaR和ES模型和三个基于EVT的VaR和ES条件模型变体在选定的WBC资本市场中的应用。为了测试VaR模型,使用了条件和无条件的覆盖测试,并注意到它们的结果需要使用蒙特卡洛测试程序进行验证。所得结果表明,在巴塞尔标准的背景下,这些模型可以成功地用于量化选定市场的极端市场风险。ES模型已经测试和排名使用损失函数。通过Bootstrap仿真,这些结果有待于验证。所获得的结果并没有揭示哪种模型最适合所选市场,因为它们在不同的市场中排名不同。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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