Segmentation Study of Foreign Exchange Market

Aki-Hiro Sato ()
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Aki-Hiro Sato: Kyoto University, Graduate School of Informatics

Chapter Chapter 6 in Applied Data-Centric Social Sciences, 2014, pp 203-219 from Springer

Abstract: Abstract This chapter explains a recursive segmentation procedure under normal distribution assumptions. The Akaike information criterion between independently identically distributed Gaussian samples and two successive segments drawn from different Gaussian distributions is used as a discriminator to segment time series. The Jackknife method is employed in order to evaluate a statistical significance level. This chapter shows univariate and multivariate cases. The proposed method is performed for artificial time series consisting of two segments with different statistics. Furthermore, log-return time series of currency exchange rates for 30 currency pairs for the period from January 4, 2001 to December 30, 2011 are divided into 11 segments with the proposed method. It is confirmed that some segment corresponds to historical events recorded as critical situations.

Keywords: Multivariate Gaussian Distribution; Multivariate Time Series; Segmentation Procedure; Financial Time Series; Foreign Exchange Rate (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-4-431-54974-1_6

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DOI: 10.1007/978-4-431-54974-1_6

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