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Oil price shocks and economic growth : the volatility link
Maheu, John M.; Song, Yong; Yang, Qiao - In: International journal of forecasting 36 (2020) 2, pp. 570-587
Persistent link: https://www.econbiz.de/10012415259
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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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Improving the accuracy: volatility modeling and forecasting using high-frequency data and the variational component
Kumar, Manish - In: Journal of industrial engineering and management : JIEM 3 (2010) 1, pp. 199-220
simple and threshold jumps and continuous variation yields a substantial improvement in volatility forecasting or not. The …
Persistent link: https://www.econbiz.de/10011899155
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l 1 - penalized likelihood smoothing of volatility processes allowing for abrupt changes
Neto, David; Sardy, Sylvain; Tseng, Paul - 2009
Persistent link: https://www.econbiz.de/10003926975
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The macroeconomic forecasting performance of autoregressive models with alternative specifications of time-varying volatility
Clark, Todd E.; Ravazzolo, Francesco - 2012
Persistent link: https://www.econbiz.de/10009627354
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The macroeconomic forecasting performance of autoregressive models with alternative specifications of time-varying volatility
Clark, Todd E.; Ravazzolo, Francesco - 2012
Persistent link: https://www.econbiz.de/10009628606
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L1-regularization of high-dimensional time-series models with flexible innovations
Medeiros, Marcelo C.; Mendes, Eduardo F. - 2015
We study the asymptotic properties of the Adaptive LASSO (adaLASSO) in sparse, high-dimensional, linear time-series models. We assume that both the number of covariates in the model and the number of candidate variables can increase with the sample size (polynomially or geometrically). In other...
Persistent link: https://www.econbiz.de/10010505038
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Modeling autoregressive processes with moving-quantiles-implied nonlinearity
Ishida, Isao; Kvedaras, Virmantas - In: Econometrics : open access journal 3 (2015) 1, pp. 2-54
using these models in an out-of-sample forecasting exercise compared with the forecasts obtained based on the usual linear …
Persistent link: https://www.econbiz.de/10010478989
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Some nonstandard stochastic volatility models and their estimation using structured hidden Markov models
Langrock, Roland; MacDonald, Iain L.; Zucchini, Walter - In: Journal of empirical finance 19 (2012) 1, pp. 147-161
Persistent link: https://www.econbiz.de/10009615752