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Forecasting financial returns volatility : a GARCH-SVR model
Sun, Hao; Yu, Bo - In: Computational economics 55 (2020) 2, pp. 451-471
Persistent link: https://www.econbiz.de/10012223641
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The impact of sovereign yield curve differentials on value-at-risk forecasts for foreign exchange rates
Fink, Holger Maria; Fuest, Andreas; Port, Henry - In: Risks : open access journal 6 (2018) 3, pp. 1-19
A functional ARMA-GARCH model for predicting the value-at-risk of the EURUSD exchange rate is introduced. The model … August 2005–30 September 2016. As a benchmark, we take an ARMA-GARCH and an ARMAX-GARCHX with the 2y-yield difference as the …
Persistent link: https://www.econbiz.de/10011890808
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Regime changes in Bitcoin GARCH volatility dynamics
Ardia, David; Bluteau, Keven; Rüede, Maxime - In: Finance research letters 29 (2019), pp. 266-271
Persistent link: https://www.econbiz.de/10012419095
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More to cryptos than bitcoin : a GARCH modelling of heterogeneous cryptocurrencies
Fung, Kennard; Jeong, Jiin; Pereira, Javier - In: Finance research letters 47 (2022) 1, pp. 1-12
Persistent link: https://www.econbiz.de/10013457293
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Long vs. short term asymmetry in volatility and the term structure of risk
Lönnbark, Carl - In: Finance research letters 23 (2017), pp. 202-209
Persistent link: https://www.econbiz.de/10011808396
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Evaluation of volatility models for forecasting Value-at-Risk and Expected Shortfall in the Portuguese stock market
Sobreira, Nuno; Louro, Rui - In: Finance research letters 32 (2020), pp. 1-7
Persistent link: https://www.econbiz.de/10012430745
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Bitcoin returns and risk : a general GARCH and GAS analysis
Troster, Victor; Tiwari, Aviral Kumar; Shahbaz, Muhammad; … - In: Finance research letters 30 (2019), pp. 187-193
Persistent link: https://www.econbiz.de/10012420417
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An application of the IFM method for the risk assessment of financial instruments
Pons, Adrià; Cristobal-Fransi, Eduard; Vintrò, Carla; … - In: Computational economics 61 (2023) 1, pp. 295-315
Persistent link: https://www.econbiz.de/10014228427
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Assessing financial stability in turbulent times : a study of generalized autoregressive conditional heteroskedasticity-type Value-at-Risk model performance in Thailand's transport...
Danai Likitratcharoen; Lucksuda Suwannamalik - In: Risks : open access journal 12 (2024) 3, pp. 1-19
of VaR approaches. This study critically evaluates the efficacy of GARCH-type VaR models within the transportation sector … GARCH-type VaR models include GARCH (1,1) VaR, ARMA (1,1)-GARCH (1,1) VaR, GARCH (1,1)-M VaR, IGARCH (1,1) VaR, EWMA VaR … surpasses GARCH-type VaR models in failure rate accuracy. Within the GARCH-type category, the EWMA VaR model exhibited superior …
Persistent link: https://www.econbiz.de/10014497424
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GARCHNet: Value‑at‑risk forecasting with GARCH models based on neural networks
Buczynski, Mateusz; Chlebus, Marcin - In: Computational economics 63 (2024) 5, pp. 1949-1979
Persistent link: https://www.econbiz.de/10014550845