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Quasi-maximum likelihood estimation for multiple volatility shifts

Author

Listed:
  • Kim, Moosup
  • Lee, Taewook
  • Noh, Jungsik
  • Baek, Changryong

Abstract

We propose the Gaussian quasi-maximum likelihood estimator (QMLE) to detect and locate multiple volatility shifts. Our Gaussian QMLE is shown to be consistent under suitable conditions and the rate of convergence is provided. It is also shown that the binary segmentation procedure provides a consistent estimation for the number of volatility shifts.

Suggested Citation

  • Kim, Moosup & Lee, Taewook & Noh, Jungsik & Baek, Changryong, 2014. "Quasi-maximum likelihood estimation for multiple volatility shifts," Statistics & Probability Letters, Elsevier, vol. 86(C), pages 50-60.
    • Handle: RePEc:eee:stapro:v:86:y:2014:i:c:p:50-60
    DOI: 10.1016/j.spl.2013.12.007
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    References listed on IDEAS

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