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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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Bayesian inference for a periodic stochastic volatility model of intraday electricity prices
Smith, Michael Stanley - In: Statistical modelling and regression structures : …, (pp. 353-376). 2010
Persistent link: https://www.econbiz.de/10003964500
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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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Structural compressed panel VAR with stochastic volatility : a robust Bayesian model averaging procedure
Pacifico, Antonio - In: Econometrics : open access journal 10 (2022) 3, pp. 1-24
predictors, where robust stands for the use of mixtures of proper conjugate priors. Concerning dynamic analysis, volatility …
Persistent link: https://www.econbiz.de/10013459503
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High-dimensional DSGE models : pointers on prior, estimation, comparison, and prediction
Chib, Siddhartha; Shin, Minchul; Tan, Fei - 2020
Persistent link: https://www.econbiz.de/10012373015
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Forecasting with VAR models : fat tails and stochastic volatility
Chiu, Ching Wai Jeremy; Mumtaz, Haroon; Pintér, Gábor - In: International journal of forecasting 33 (2017) 4, pp. 1124-1143
Persistent link: https://www.econbiz.de/10011746951
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Large mixed-frequency VARs with a parsimonious time-varying parameter structure
Götz, Thomas B.; Hauzenberger, Klemens - 2018
To simultaneously consider mixed-frequency time series, their joint dynamics, and possible structural changes, we introduce a time-varying parameter mixed-frequency VAR. To keep our approach from becoming too complex, we implement time variation parsimoniously: only the intercepts and a common...
Persistent link: https://www.econbiz.de/10011903709
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Forecasting with VAR models : fat tails and stochastic volatility
Chiu, Ching Wai Jeremy; Mumtaz, Haroon; Pinter, Gabor - 2015
Persistent link: https://www.econbiz.de/10011312174
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Modeling of stock indices with HMM-SV models
Nkemnole, E. B.; Wulu, J. T. - In: Theoretical and applied economics : GAER review 24 (2017) 2, pp. 45-60
Persistent link: https://www.econbiz.de/10011795001
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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