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News impact curve for stochastic volatility models

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  • Takahashi, Makoto
  • Omori, Yasuhiro
  • Watanabe, Toshiaki

Abstract

This paper proposes a couple of new methods to compute the news impact curve for stochastic volatility (SV) models. The new methods incorporate the joint movement of return and volatility, which has been ignored by the extant literature. The first method employs the Bayesian Markov chain Monte Carlo scheme and the other one employs the rejection sampling. The both methods are simple, versatile, and applicable to various SV models. Contrary to the monotonic news impact functions in the extant literature, the both methods give the U-shaped news impact curves comparable to the GARCH models. They also capture the volatility asymmetry for the asymmetric SV models.

Suggested Citation

  • Takahashi, Makoto & Omori, Yasuhiro & Watanabe, Toshiaki, 2013. "News impact curve for stochastic volatility models," Economics Letters, Elsevier, vol. 120(1), pages 130-134.
    • Handle: RePEc:eee:ecolet:v:120:y:2013:i:1:p:130-134
    DOI: 10.1016/j.econlet.2013.03.001
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    Cited by:

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    2. Catania, Leopoldo & Proietti, Tommaso, 2020. "Forecasting volatility with time-varying leverage and volatility of volatility effects," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1301-1317.
    3. Kenichiro McAlinn & Asahi Ushio & Teruo Nakatsuma, 2016. "Volatility Forecasts Using Nonlinear Leverage Effects," Papers 1605.06482, arXiv.org, revised Dec 2017.
    4. 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.
    5. Treyer, Karin & Bauer, Christian & Simons, Andrew, 2014. "Human health impacts in the life cycle of future European electricity generation," Energy Policy, Elsevier, vol. 74(S1), pages 31-44.
    6. Asai, Manabu & Chang, Chia-Lin & McAleer, Michael, 2022. "Realized matrix-exponential stochastic volatility with asymmetry, long memory and higher-moment spillovers," Journal of Econometrics, Elsevier, vol. 227(1), pages 285-304.

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    More about this item

    Keywords

    Bayesian inference; Markov chain Monte Carlo; News impact curve; Rejection sampling; Stochastic volatility;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics

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