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Forecasting value-at-risk and expected shortfall in large portfolios : a general dynamic factor approach
Hallin, Marc; Trucios, Carlos - 2020
Persistent link: https://www.econbiz.de/10012437084
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Factor high-frequency based volatility (HEAVY) models
Sheppard, Kevin; Xu, Wen - 2014
Persistent link: https://www.econbiz.de/10010365630
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Forecasting comparison of long term component dynamic models for realized covariance matrices
Bauwens, Luc; Braione, Manuela; Storti, Giuseppe - In: Annals of economics and statistics 123/124 (2016), pp. 103-134
Persistent link: https://www.econbiz.de/10011592738
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Conditional value-at-risk forecasts of an optimal foreign currency portfolio
Kim, Dongwhan; Kang, Kyu Ho - In: International journal of forecasting 37 (2021) 2, pp. 838-861
Persistent link: https://www.econbiz.de/10012792873
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Financial crisis, Value-at-Risk forecasts and the puzzle of dependency modeling
Berger, Theo; Missong, Martin - In: International review of financial analysis 33 (2014), pp. 33-38
Persistent link: https://www.econbiz.de/10010520086
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Evaluating an EGARCH model with fat tails, skewness and leverage in forecasting VaR
Benito Muela, Sonia - In: Journal of contemporary management : JMC 4 (2015) 3, pp. 67-80
Persistent link: https://www.econbiz.de/10011392904
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The role of trading volume in forecasting market risk
Slim, Skander - In: Inventi impact: international trade (2016) 3, pp. 169-181
Persistent link: https://www.econbiz.de/10011567980
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Assessing coherent value-at-risk and expected shortfall with extreme expectiles
Daouia, Abdelaati; Girard, Stéphane; Stupfler, Gilles - 2015
Persistent link: https://www.econbiz.de/10011302290
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Volatility forecast by volatility index and its use as a risk management tool under a value-at-risk approach
Siu, Yam Wing - In: Review of Pacific Basin financial markets and policies 21 (2018) 2, pp. 1-48
Persistent link: https://www.econbiz.de/10011865598
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Forecasting extreme financial risk : a score-driven approach
Fuentes, Fernanda; Herrera, Rodrigo; Clements, Adam - In: International journal of forecasting 39 (2023) 2, pp. 720-735
Persistent link: https://www.econbiz.de/10014465107