On generalised asymmetric stochastic volatility models
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- Casas, Isabel, 2019. "Exploring option pricing and hedging via volatility asymmetry," DES - Working Papers. Statistics and Econometrics. WS 28234, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
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- Joshua C.C. Chan & Angelia L. Grant, 2014. "Issues in Comparing Stochastic Volatility Models Using the Deviance Information Criterion," CAMA Working Papers 2014-51, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
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- Bocart, Fabian Y. R. P. & Hafner, Christian M., 2011. "Econometric analysis of volatile art markets," SFB 649 Discussion Papers 2011-071, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- BOCART, F. & HAFNER, Christian, 2011. "Econometric analysis of volatile art markets," LIDAM Discussion Papers ISBA 2011029, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
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- Mukhoti, Sujay, 2014. "Non-Stationary Stochastic Volatility Model for Dynamic Feedback and Skewness," MPRA Paper 62532, University Library of Munich, Germany.
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- Mao, Xiuping & Czellar, Veronika & Ruiz, Esther & Veiga, Helena, 2020. "Asymmetric stochastic volatility models: Properties and particle filter-based simulated maximum likelihood estimation," Econometrics and Statistics, Elsevier, vol. 13(C), pages 84-105.
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Keywords
Stochastic volatility Leverage effect Noncentral-t distribution Skew-normal distribution Skew-t distribution Metropolis-Hastings MCMC DIC Model selection Forecasting evaluation;Statistics
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