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Tail risk forecasting of realized volatility CAViaR models
Chen, Cathy W. S.; Hsu, Hsiao-Yun; Watanabe, Toshiaki - In: Finance research letters 51 (2023), pp. 1-8
Persistent link: https://www.econbiz.de/10014304842
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Forecasting volatility using realized stochastic volatility model with time-varying leverage effect
Wu, Xinyu; Wang, Xiaona - In: Finance research letters 34 (2020), pp. 1-7
Persistent link: https://www.econbiz.de/10012436997
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Idiosyncratic tail risk and expected stock returns : evidence from the Chinese stock markets
Long, Huaigang; Jiang, Yuexiang; Zhu, Yanjian - In: Finance research letters 24 (2018), pp. 129-136
Persistent link: https://www.econbiz.de/10011982519
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Stock return predictability in China : power of oil price trend
Cao, Zhen; Han, Liyan; Zhang, Qunzi - In: Finance research letters 47 (2022) 1, pp. 1-5
Persistent link: https://www.econbiz.de/10013457289
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Predicting equity premium by conditioning on macroeconomic variables : a prediction selection strategy using the price of crude oil
Nonejad, Nima - In: Finance research letters 41 (2021), pp. 1-9
Persistent link: https://www.econbiz.de/10013335945
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Sample frequency robustness and accuracy in forecasting Value-at-Risk for Brent Crude Oil futures
Ewald, Christian; Hadina, Jelena; Haugom, Erik; Lien, … - In: Finance research letters 58 (2023) 1, pp. 1-12
Persistent link: https://www.econbiz.de/10014582226
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Can asymmetry, long memory, and current return information improve crude oil volatility prediction? : evidence from ASHARV-MIDAS model
Chen, Zhenlong; Liu, Junjie; Hao, Xiaozhen - In: Finance research letters 64 (2024), pp. 1-8
Persistent link: https://www.econbiz.de/10014531739
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China's crude oil futures : introduction and some stylized facts
Ji, Qiang; Zhang, Dayong - In: Finance research letters 28 (2019), pp. 376-380
Persistent link: https://www.econbiz.de/10012388348
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Forecasting crude oil price volatility out-of-sample using news-based geopolitical risk index : what forms of nonlinearity help improve forecast accuracy the most?
Nonejad, Nima - In: Finance research letters 46 (2022) 1, pp. 1-6
Persistent link: https://www.econbiz.de/10013341402
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Do extreme range estimators improve realized volatility forecasts? : evidence from G7 Stock Markets
Korkusuz, Burak; Kambouroudis, Dimos; McMillan, David G. - In: Finance research letters 55 (2023) 2, pp. 1-7
Persistent link: https://www.econbiz.de/10014473523