Dependent Conditional Value-at-Risk for Aggregate Risk Models
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- Kabaila, Paul & Syuhada, Khreshna, 2010. "The asymptotic efficiency of improved prediction intervals," Statistics & Probability Letters, Elsevier, vol. 80(17-18), pages 1348-1353, September.
- Acerbi, Carlo & Tasche, Dirk, 2002.
"On the coherence of expected shortfall,"
Journal of Banking & Finance, Elsevier, vol. 26(7), pages 1487-1503, July.
- Carlo Acerbi & Dirk Tasche, 2001. "On the coherence of Expected Shortfall," Papers cond-mat/0104295, arXiv.org, revised May 2002.
- Khreshna Syuhada, 2020. "The Improved Value-at-Risk for Heteroscedastic Processes and Their Coverage Probability," Journal of Probability and Statistics, Hindawi, vol. 2020, pages 1-5, March.
- Nieto, Maria Rosa & Ruiz, Esther, 2016. "Frontiers in VaR forecasting and backtesting," International Journal of Forecasting, Elsevier, vol. 32(2), pages 475-501.
- Paul Kabaila & Khreshna Syuhada, 2008. "Improved Prediction Limits For AR(p) and ARCH(p) Processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 29(2), pages 213-223, March.
- Huang, Jen-Jsung & Lee, Kuo-Jung & Liang, Hueimei & Lin, Wei-Fu, 2009. "Estimating value at risk of portfolio by conditional copula-GARCH method," Insurance: Mathematics and Economics, Elsevier, vol. 45(3), pages 315-324, December.
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NEP fields
This paper has been announced in the following NEP Reports:- NEP-FOR-2020-09-21 (Forecasting)
- NEP-RMG-2020-09-21 (Risk Management)
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