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Mao, X., Czellar, V., Ruiz, E. & Veiga, H. (2020). Asymmetric stochastic volatility models: properties and particle filter-based simulated maximum likelihood estimation. Econometrics and Statistics. 13, 84-105
X. Mao et al., "Asymmetric stochastic volatility models: properties and particle filter-based simulated maximum likelihood estimation", in Econometrics and Statistics, vol. 13, pp. 84-105, 2020
@article{mao2020_1716007980378, author = "Mao, X. and Czellar, V. and Ruiz, E. and Veiga, H.", title = "Asymmetric stochastic volatility models: properties and particle filter-based simulated maximum likelihood estimation", journal = "Econometrics and Statistics", year = "2020", volume = "13", number = "", doi = "10.1016/j.ecosta.2019.08.002", pages = "84-105", url = "https://www.sciencedirect.com/journal/econometrics-and-statistics/vol/13/suppl/C" }
TY - JOUR TI - Asymmetric stochastic volatility models: properties and particle filter-based simulated maximum likelihood estimation T2 - Econometrics and Statistics VL - 13 AU - Mao, X. AU - Czellar, V. AU - Ruiz, E. AU - Veiga, H. PY - 2020 SP - 84-105 SN - 2452-3062 DO - 10.1016/j.ecosta.2019.08.002 UR - https://www.sciencedirect.com/journal/econometrics-and-statistics/vol/13/suppl/C AB - The statistical properties of a general family of asymmetric stochastic volatility (A-SV) models which capture the leverage effect in financial returns are derived providing analytical expressions of moments and autocorrelations of power-transformed absolute returns. The parameters of the A-SV model are estimated by a particle filter-based simulated maximum likelihood estimator and Monte Carlo simulations are carried out to validate it. It is shown empirically that standard SV models may significantly underestimate the value-at-risk of weekly S&P 500 returns at dates following negative returns and overestimate it after positive returns. By contrast, the general specification proposed provide reliable forecasts at all dates. Furthermore, based on daily S&P 500 returns, it is shown that the most adequate specification of the asymmetry can change over time. ER -