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Properties of low variability periods in financial time series

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  • R. Kitt
  • J. Kalda

Abstract

Properties of low-variability periods in the time series are analysed. The theoretical approach is used to show the relationship between the multi-scaling of low-variability periods and multi-affinity of the time series. It is shown that this technically simple method is capable of reveling more details about time-series than the traditional multi-affine analysis. We have applied this scaling analysis to financial time series: a number of daily currency and stock index time series. The results show a good scaling behaviour for different model parameters. The analysis of high-frequency USD-EUR exchange rate data confirmed the theoretical expectations.

Suggested Citation

  • R. Kitt & J. Kalda, 2004. "Properties of low variability periods in financial time series," Papers cond-mat/0406225, arXiv.org, revised Jun 2004.
  • Handle: RePEc:arx:papers:cond-mat/0406225
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