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Asymmetry and Long Memory in Volatility Modeling

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Author Info

  • Manabu Asai
  • Michael McAleer
  • Marcelo C. Medeiros

Abstract

In this paper, we propose a long memory asymmetric volatility model, which captures more flexible asymmetric patterns as compared with several existing models. We extend the new specification to realized volatility (RV) by taking account of measurement errors and use the Efficient Importance Sampling technique to estimate the model. We apply the model to the RV of S&P500. Overall, the results of the out-of-sample forecasts show the adequacy of the new asymmetric and long memory volatility model for the period including the global financial crisis. Copyright The Author 2011. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com., Oxford University Press.

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File URL: http://hdl.handle.net/10.1093/jjfinec/nbr015
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Bibliographic Info

Article provided by Society for Financial Econometrics in its journal Journal of Financial Econometrics.

Volume (Year): 10 (2012)
Issue (Month): 3 (June)
Pages: 495-512

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Handle: RePEc:oup:jfinec:v:10:y:2012:i:3:p:495-512

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References

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Citations

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Cited by:
  1. Manabu Asai & Michael McAleer, 2013. "A Fractionally Integrated Wishart Stochastic Volatility Model," Tinbergen Institute Discussion Papers 13-025/III, Tinbergen Institute.
  2. Manabu Asai & Michael McAleer & Marcelo C. Medeiros, 2010. "Asymmetry and Long Memory in Volatility Modelling," Working Papers in Economics 10/60, University of Canterbury, Department of Economics and Finance.
  3. Ho, Kin-Yip & Shi, Yanlin & Zhang, Zhaoyong, 2013. "How does news sentiment impact asset volatility? Evidence from long memory and regime-switching approaches," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 436-456.
  4. Manabu Asai & Michael McAleer, 2013. "Leverage and Feedback E ects on Multifactor Wishart Stochastic Volatility for Option Pricing," Documentos del Instituto Complutense de Análisis Económico 2013-02, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales.
  5. Manabu Asai & Michael McAleer, 2013. "A Fractionally Integrated Wishart Stochastic Volatility Model," KIER Working Papers 848, Kyoto University, Institute of Economic Research.
  6. Xiuping Mao & Esther Ruiz & Helena Veiga, 2013. "One for all : nesting asymmetric stochastic volatility models," Statistics and Econometrics Working Papers ws131110, Universidad Carlos III, Departamento de Estadística y Econometría.

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