Dynamic VaR models and the Peaks over Threshold method for market risk measurement: an empirical investigation during a financial crisis
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Cited by:
- Szubzda Filip & Chlebus Marcin, 2019.
"Comparison of Block Maxima and Peaks Over Threshold Value-at-Risk models for market risk in various economic conditions,"
Central European Economic Journal, Sciendo, vol. 6(53), pages 70-85, January.
- Szubzda Filip & Chlebus Marcin, 2019. "Comparison of Block Maxima and Peaks Over Threshold Value-at-Risk models for market risk in various economic conditions," Central European Economic Journal, Sciendo, vol. 6(53), pages 70-85, January.
- Axel A. Araneda, 2021. "Asset volatility forecasting:The optimal decay parameter in the EWMA model," Papers 2105.14382, arXiv.org.
- Mesut BALLIBEY & Serpil T RKYILMAZ, 2014. "Value-at-Risk Analysis in the Presence of Asymmetry and Long Memory: The Case of Turkish Stock Market," International Journal of Economics and Financial Issues, Econjournals, vol. 4(4), pages 836-848.
- Nikola Radivojević & Nikola V. Ćurčić & Djurdjica Dj. Vukajlović, 2017. "Hull-White’s value at risk model: case study of Baltic equities market," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 18(5), pages 1023-1041, September.
- Song, Wenjuan & Sun, Lixin, 2014. "The Measurement of the Long-Term and Short-Term Risks of Chinese Listed Banks," MPRA Paper 70007, University Library of Munich, Germany, revised Jul 2014.
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More about this item
Keywords
Market risk; Extreme Value Theory; Peaks over Threshold; Value at Risk; Fat tails;All these keywords.
NEP fields
This paper has been announced in the following NEP Reports:- NEP-RMG-2010-09-11 (Risk Management)
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