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Volatility analysis for the GARCH-Itô-Jumps model based on high-frequency and low-frequency financial data
Fu, Jin-Yu; Lin, Jin-Guan; Hao, Hong-Xia - In: International journal of forecasting 39 (2023) 4, pp. 1698-1712
Persistent link: https://www.econbiz.de/10014465345
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Is intraday data useful for forecasting VaR? : the evidence from EUR/PLN exchange rate
Będowska-Sójka, Barbara - In: Risk management : a journal of risk, crisis and disaster 20 (2018) 4, pp. 326-346
Persistent link: https://www.econbiz.de/10011962183
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Extreme time-varying spillovers between high carbon emission stocks, green bond and crude oil : Comment
Bonaccolto, Giovanni; Caporin, Massimiliano; Iacopini, … - In: Energy economics 132 (2024), pp. 1-4
Persistent link: https://www.econbiz.de/10015047165
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Modeling dependence structure and forecasting market risk with dynamic asymmetric copula
Cerrato, Mario; Crosby, John; Kim, Minjoo; Zhao, Yang - 2015
Persistent link: https://www.econbiz.de/10011325736
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Forecasting market risk of portfolios: copula-Markov switching multifractal approach
Segnon, Mawuli; Trede, Mark - In: The European journal of finance 24 (2018) 14, pp. 1123-1143
Persistent link: https://www.econbiz.de/10012258877
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GARCH based VaR estimation : an empirical evidence from BRICS stock markets
Guptha, Sivakiran; Rao, R. Prabhakar - In: Theoretical and applied economics : GAER review 26 (2019) 4/621, pp. 201-218
Persistent link: https://www.econbiz.de/10012432615
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How does trading volume affect financial return distributions?
Do, Hung Xuan; Brooks, Robert; Sirimon Treepongkaruna; … - In: International review of financial analysis 35 (2014), pp. 190-206
Persistent link: https://www.econbiz.de/10010530243
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A TVM-Copula-MIDAS-GARCH model with applications to VaR-based portfolio selection
Jiang, Cuixia; Ding, Xiaoyi; Xu, Qifa; Tong, Yongbo - In: The North American journal of economics and finance : a … 51 (2020), pp. 1-11
Persistent link: https://www.econbiz.de/10012659611
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Forecasting volatility via stock return, range, trading volume and spillover effects : the case of Brazil
Asai, Manabu; Brugal, Ivan - In: The North American journal of economics and finance : a … 25 (2013), pp. 202-213
Persistent link: https://www.econbiz.de/10009779296
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Risk model validation : an intraday VaR and ES approach using the multiplicative component GARCH
Summinga-Sonagadu, Ravi; Narsoo, Jason - In: Risks : open access journal 7 (2019) 1/10, pp. 1-23
In this paper, we employ 99% intraday value-at-risk (VaR) and intraday expected shortfall (ES) as risk metrics to assess the competency of the Multiplicative Component Generalised Autoregressive Heteroskedasticity (MC-GARCH) models based on the 1-min EUR/USD exchange rate returns. Five...
Persistent link: https://www.econbiz.de/10012018629