Bayesian Analysis Of Generalized Autoregressive Conditional Heteroskedasticity And Stochastic Volatility: Modeling Leverage, Jumps And Heavy‐Tails For Financial Time Series
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DOI: j.1468-5876.2011.00537.x
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Cited by:
- Willy Alanya & Gabriel Rodríguez, 2019.
"Asymmetries in Volatility: An Empirical Study for the Peruvian Stock and Forex Markets,"
Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 22(01), pages 1-18, March.
- Gabriel Rodriguez & Willy Alanya, 2016. "Asymmetries in Volatility: An Empirical Study for the Peruvian Stock and Forex Markets," Documentos de Trabajo / Working Papers 2016-413, Departamento de Economía - Pontificia Universidad Católica del Perú.
- Patricia Lengua Lafosse & Cristian Bayes & Gabriel Rodríguez, 2015. "A Stochastic Volatility Model with GH Skew Student’s t-Distribution: Application to Latin-American Stock Returns," Documentos de Trabajo / Working Papers 2015-405, Departamento de Economía - Pontificia Universidad Católica del Perú.
- Panagiotidis, Theodore & Papapanagiotou, Georgios & Stengos, Thanasis, 2024.
"A Bayesian approach for the determinants of bitcoin returns,"
International Review of Financial Analysis, Elsevier, vol. 91(C).
- Thanasis Stengos & Theodore Panagiotidis & Georgios Papapanagiotou, 2023. "A Bayesian approach for the determinants of bitcoin returns," Working Papers 2302, University of Guelph, Department of Economics and Finance.
- Theodore Panagiotidis & Georgios Papapanagiotou & Thanasis Stengos, 2023. "A Bayesian approach for the determinants of bitcoin returns," Discussion Paper Series 2023_05, Department of Economics, University of Macedonia, revised May 2023.
- Makoto Nakakita & Teruo Nakatsuma, 2021. "Bayesian Analysis of Intraday Stochastic Volatility Models of High-Frequency Stock Returns with Skew Heavy-Tailed Errors," JRFM, MDPI, vol. 14(4), pages 1-29, March.
- Todd E. Clark & Francesco Ravazzolo, 2012.
"The macroeconomic forecasting performance of autoregressive models with alternative specifications of time-varying volatility,"
Working Papers (Old Series)
1218, Federal Reserve Bank of Cleveland.
- Todd E. Clark & Francesco Ravazzolo, 2012. "The macroeconomic forecasting performance of autoregressive models with alternative specifications of time-varying volatility," Working Paper 2012/09, Norges Bank.
- Jesus Fernandez-Villaverde & Pablo Guerron-Quintana, 2020.
"Uncertainty Shocks and Business Cycle Research,"
Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 37, pages 118-166, August.
- Fernández-Villaverde, Jesús, 2020. "Uncertainty Shocks and Business Cycle Research," CEPR Discussion Papers 14398, C.E.P.R. Discussion Papers.
- Jesús Fernández-Villaverde & Pablo A. Guerrón-Quintana, 2020. "Uncertainty Shocks and Business Cycle Research," NBER Working Papers 26768, National Bureau of Economic Research, Inc.
- Noriyuki Kunimoto & Kazuhiko Kakamu, 2021. "Is Bitcoin really a currency? A viewpoint of a stochastic volatility model," Papers 2111.15351, arXiv.org.
- Darjus Hosszejni & Gregor Kastner, 2019. "Modeling Univariate and Multivariate Stochastic Volatility in R with stochvol and factorstochvol," Papers 1906.12123, arXiv.org, revised Feb 2021.
- Theodore Panagiotidis & Georgios Papapanagiotou, 2024.
"A note on the determinants of NFTs returns,"
Working Paper series
24-07, Rimini Centre for Economic Analysis.
- Theodore Panagiotidis & Georgios Papapanagiotou, 2024. "A note on the determinants of NFTs returns," Discussion Paper Series 2024_02, Department of Economics, University of Macedonia, revised Feb 2024.
- Lengua Lafosse, Patricia & Rodríguez, Gabriel, 2018. "An empirical application of a stochastic volatility model with GH skew Student's t-distribution to the volatility of Latin-American stock returns," The Quarterly Review of Economics and Finance, Elsevier, vol. 69(C), pages 155-173.
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