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Bayesian nonparametrics for financial volatility modeling
Zaharieva, Martina Danielova - 2017
Persistent link: https://www.econbiz.de/10012200829
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Volatility or higher moments : which is more important in return density forecasts of stochastic volatility model?
Li, Chenxing; Zhang, Zehua; Zhao, Ran - In: Finance research letters 67 (2024) 2, pp. 1-11
Persistent link: https://www.econbiz.de/10015062448
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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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Improving the asymmetric stochastic volatility model with ex-post volatility : the identification of the asymmetry
Zhang, Zehua; Zhao, Ran - In: Quantitative finance 23 (2023) 1, pp. 35-51
Persistent link: https://www.econbiz.de/10013490951
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Bayesian quantile forecasting via the realized hysteretic GARCH model
Chen, Cathy W. S.; Lin, Edward M. H.; Huang, Tara F. J. - In: Journal of forecasting 41 (2022) 7, pp. 1317-1337
Persistent link: https://www.econbiz.de/10013465697
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Modeling high-frequency financial data using R and Stan : a bayesian autoregressive conditional duration approach
Tabash, Mosab I.; Navas, T. Muhammed; Thayyib, P. V.; … - In: Journal of open innovation : technology, market, and … 10 (2024) 2, pp. 1-16
statistical inference, and the simulation uses the Hamiltonian Monte Carlo (HMC) algorithm of Markov Chain Monte Carlo (MCMC) to …
Persistent link: https://www.econbiz.de/10014581582
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Bayesian analysis of intraday stochastic volatility models of high-frequency stock returns with skew heavy-tailed errors
Nakakita, Makoto; Nakatsuma, Teruo - In: Journal of risk and financial management : JRFM 14 (2021) 4, pp. 1-29
Intraday high-frequency data of stock returns exhibit not only typical characteristics (e.g., volatility clustering and … the leverage effect) but also a cyclical pattern of return volatility that is known as intraday seasonality. In this paper …, we extend the stochastic volatility (SV) model for application with such intraday high-frequency data and develop an …
Persistent link: https://www.econbiz.de/10012520275
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Bayesian analysis of a threshold stochastic volatility model
Wirjanto, Tony S.; Kolkiewicz, Adam W.; Men, Zhongxian - In: Journal of forecasting 35 (2016) 5, pp. 462-476
Persistent link: https://www.econbiz.de/10011580989
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Chapter 15. Forecasting with Bayesian Vector Autoregression
Karlsson, Sune - 2013
This chapter reviews Bayesian methods for inference and forecasting with VAR models. Bayesian inference and, by extension, forecasting depends on numerical methods for simulating from the posterior distribution of the parameters and special attention is given to the implementation of the...
Persistent link: https://www.econbiz.de/10014025233
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Bayesian analysis of latent threshold dynamic models
Nakajima, Jouchi; West, Mike - In: Journal of business & economic statistics : JBES ; a … 31 (2013) 2, pp. 151-164
Persistent link: https://www.econbiz.de/10009754013