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Testing for seasonal patterns in conditional return volatility: evidence from Asia-Pacific markets

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  • Andrew Clare
  • Ian Garrett
  • Greg Jones

Abstract

Several previous studies have focused upon seasonal patterns in the unconditional volatility of intraday and daily returns data. But these investigations could be misleading without considering a fuller structural model of the time series properties of return volatility. The seasonal pattern in the volatility of five Asia-Pacific stock markets is investigated using the unconditional modified Levene statistic (Ho, Y. K. and Cheung, Y. L., 1994, Seasonal pattern in volatility in Asian stock markets, Applied Financial Economics, 4, 61-67) and by estimating the conditional variance of each market using an ARCH procedure.

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  • Andrew Clare & Ian Garrett & Greg Jones, 1997. "Testing for seasonal patterns in conditional return volatility: evidence from Asia-Pacific markets," Applied Financial Economics, Taylor & Francis Journals, vol. 7(5), pages 517-523.
    • Handle: RePEc:taf:apfiec:v:7:y:1997:i:5:p:517-523
    DOI: 10.1080/096031097333385
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    Cited by:

    1. Balaban, Ercan & Ozgen, Tolga & Karidis, Socrates, 2018. "Intraday and interday distribution of stock returns and their asymmetric conditional volatility: Firm-level evidence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 905-915.
    2. Denise R. Osborn & Christos S. Savva & Len Gill, 2008. "Periodic Dynamic Conditional Correlations between Stock Markets in Europe and the US," Journal of Financial Econometrics, Oxford University Press, vol. 6(3), pages 307-325, Summer.

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