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Genaro Sucarrat
Title
Cited by
Cited by
Year
EGARCH models with fat tails, skewness and leverage
A Harvey, G Sucarrat
Computational Statistics & Data Analysis 76, 320-338, 2014
2022014
Automated general-to-specific (GETS) regression modeling and indicator saturation for outliers and structural breaks
F Pretis, JJ Reade, G Sucarrat
Foundation for Open Access Statistics, 2018
992018
Exchange rate volatility and the mixture of distribution hypothesis
L Bauwens, D Rime, G Sucarrat
High Frequency Financial Econometrics: Recent Developments, 7-29, 2008
792008
Estimation and inference in univariate and multivariate log-GARCH-X models when the conditional density is unknown
G Sucarrat, S Grønneberg, A Escribano
Computational statistics & data analysis 100, 582-594, 2016
572016
Automated Model Selection in Finance: General‐to‐Specific Modelling of the Mean and Volatility Specifications
G Sucarrat, A Escribano
Oxford Bulletin of Economics and Statistics 74 (5), 716-735, 2012
402012
An equation-by-equation estimator of a multivariate log-GARCH-X model of financial returns
C Francq, G Sucarrat
Journal of Multivariate Analysis 153, 16-32, 2017
362017
General-to-specific modelling of exchange rate volatility: A forecast evaluation
L Bauwens, G Sucarrat
International Journal of Forecasting 26 (4), 885-907, 2010
332010
betategarch: simulation, estimation and forecasting of first-order Beta-Skew-t-EGARCH models
G Sucarrat
R Foundation for Statistical Computing, 2013
252013
Equation-by-equation estimation of multivariate periodic electricity price volatility
A Escribano, G Sucarrat
Energy Economics 74, 287-298, 2018
192018
Estimation of log-GARCH models in the presence of zero returns
G Sucarrat, A Escribano
The European Journal of Finance 24 (10), 809-827, 2018
192018
An exponential chi-squared QMLE for log-GARCH models via the ARMA representation
C Francq, G Sucarrat
Journal of Financial Econometrics 16 (1), 129-154, 2018
19*2018
The power log-GARCH model
G Sucarrat, A Escribano
192010
Risk estimation with a time-varying probability of zero returns
G Sucarrat, S Grønneberg
Journal of Financial Econometrics 20 (2), 278-309, 2022
162022
General-to-specific (gets) modelling and indicator saturation with the R package gets
F Pretis, J Reade, G Sucarrat
University of Oxford, 2016
162016
Forecast evaluation of explanatory models of financial variability
G Sucarrat
Economics 3 (1), 20090008, 2009
142009
lgarch: Simulation and estimation of log-GARCH models
G Sucarrat
R package version 0.2, 2014
122014
Volatility estimation when the zero-process is nonstationary
C Francq, G Sucarrat
Journal of Business & Economic Statistics 41 (1), 53-66, 2022
112022
gets: GEneral-to-specific (GETS) modelling and indicator saturation methods
F Pretis, J Reade, G Sucarrat
R package version 0.12, 2017
112017
Econometric reduction theory and philosophy
G Sucarrat
Journal of Economic Methodology 17 (1), 53-75, 2010
102010
Modelling the skewed exponential power distribution in finance
J Miguel Marín, G Sucarrat
Mathematical and statistical methods for actuarial sciences and finance, 279-286, 2012
92012
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Articles 1–20