On Detecting Sudden Changes in the Unconditional Volatility of a Time Series

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DOI: 10.4236/tel.2016.62028    2,177 Downloads   3,023 Views  Citations
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ABSTRACT

The present study highlights the drawback of using Sanso, Arago and Carrion’s (2004) AIT-ICSS algorithm in detecting sudden changes in the unconditional volatility when long memory is present in volatility. Simulation experiments show that the AIT-ICSS test is severely oversized and exhibits low power when long memory is present in volatility.

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Kumar, D. (2016) On Detecting Sudden Changes in the Unconditional Volatility of a Time Series. Theoretical Economics Letters, 6, 256-261. doi: 10.4236/tel.2016.62028.

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