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Forecasting the realized volatility: the role of jumps

Author

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  • Zhichao Liu
  • Feng Ma
  • Xunxiao Wang
  • Zean Xia

Abstract

This article investigates the role of jump components dependent on the ABD-LM jump test in forecasting volatility. Our out-of-sample forecasting results show that compared with the ABD-LM jump component, its decomposition forms based on signed returns can significantly improve the models’ forecasting performance and our findings have important implications for investors and policymakers.

Suggested Citation

  • Zhichao Liu & Feng Ma & Xunxiao Wang & Zean Xia, 2016. "Forecasting the realized volatility: the role of jumps," Applied Economics Letters, Taylor & Francis Journals, vol. 23(10), pages 736-739, July.
    • Handle: RePEc:taf:apeclt:v:23:y:2016:i:10:p:736-739
    DOI: 10.1080/13504851.2015.1105911
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    Cited by:

    1. Liu, Jing & Ma, Feng & Yang, Ke & Zhang, Yaojie, 2018. "Forecasting the oil futures price volatility: Large jumps and small jumps," Energy Economics, Elsevier, vol. 72(C), pages 321-330.
    2. Dinesh Gajurel & Biplob Chowdhury, 2021. "Realized Volatility, Jump and Beta: evidence from Canadian Stock Market," Applied Economics, Taylor & Francis Journals, vol. 53(55), pages 6376-6397, November.
    3. Tomás Gómez Rodríguez & Humberto Ríos Bolívar & Adriana Zambrano Reyes, 2021. "Volatilidad y COVID-19: evidencia empírica internacional," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 16(3), pages 1-20, Julio - S.
    4. Ma, Feng & Wahab, M.I.M. & Huang, Dengshi & Xu, Weiju, 2017. "Forecasting the realized volatility of the oil futures market: A regime switching approach," Energy Economics, Elsevier, vol. 67(C), pages 136-145.
    5. Chen, Yixiang & Ma, Feng & Zhang, Yaojie, 2019. "Good, bad cojumps and volatility forecasting: New evidence from crude oil and the U.S. stock markets," Energy Economics, Elsevier, vol. 81(C), pages 52-62.

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