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Bayesian semi-parametric realized conditional autoregressive expectile models for tail risk forecasting
Gerlach, Richard; Wang, Chao - In: Journal of financial econometrics 20 (2022) 1, pp. 105-138
Persistent link: https://www.econbiz.de/10012878188
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Semi-parametric financial risk forecasting incorporating multiple realized measures
Peiris, Rangika; Wang, Chao; Gerlach, Richard; … - In: Quantitative finance 24 (2024) 12, pp. 1823-1837
Persistent link: https://www.econbiz.de/10015196974
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Forecasting value-at-risk using nonlinear regression quantiles and the intra-day range
Chen, Cathy W. S.; Gerlach, Richard; Hwang, Bruce B. K.; … - 2011
Persistent link: https://www.econbiz.de/10009011936
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Forecasting value-at-risk using nonlinear regression quantiles and the intraday range
Chen, Cathy W. S.; Gerlach, Richard; Hwang, Bruce B. K.; … - 2011 - Rev.
Persistent link: https://www.econbiz.de/10009619366
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MCMC methods for comparing stochastic volatility and GARCH models
Gerlach, Richard; Tuyl, Frank - In: International journal of forecasting 22 (2006) 1, pp. 91-107
Persistent link: https://www.econbiz.de/10003283955
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Bayesian expected shortfall forecasting incorporating the intraday range
Gerlach, Richard; Chen, Cathy W. S. - In: Journal of financial econometrics : official journal of … 14 (2016) 1, pp. 128-158
Persistent link: https://www.econbiz.de/10011588546
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A semi-parametric conditional autoregressive joint value-at-risk and expected shortfall modeling framework incorporating realized measures
Wang, Chao; Gerlach, Richard; Chen, Qian - In: Quantitative finance 23 (2023) 2, pp. 309-334
Persistent link: https://www.econbiz.de/10014232647
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Bayesian realized-GARCH models for financial tail risk forecasting incorporating the two-sided Weibull distribution
Wang, Chao; Chen, Qian; Gerlach, Richard - In: Quantitative finance 19 (2019) 6, pp. 1017-1042
Persistent link: https://www.econbiz.de/10012194739
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Semi-parametric dynamic asymmetric Laplace models for tail risk forecasting, incorporating realized measures
Gerlach, Richard; Wang, Chao - In: International journal of forecasting 36 (2020) 2, pp. 489-506
Persistent link: https://www.econbiz.de/10012415185
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Improving the accuracy of tail risk forecasting models by combining several realized volatility estimators
Naimoli, Antonio; Gerlach, Richard; Storti, Giuseppe - In: Economic modelling 107 (2022), pp. 1-19
Persistent link: https://www.econbiz.de/10013367470