The effect of noise reduction in measuring the linear and nonlinear dependency of financial markets

Hassani, Hossein, Dionisio, Andreia and Ghodsi, Mansoureh 2010. The effect of noise reduction in measuring the linear and nonlinear dependency of financial markets. Nonlinear Analysis: Real World Applications 11 (1) , pp. 492-502. 10.1016/j.nonrwa.2009.01.004

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Abstract

The daily closing prices of several stock market indices are examined to analyse whether noise reduction matters in measuring dependencies of the financial series. We consider the effect of noise reduction on the linear and nonlinear measure of dependencies. We also use singular spectrum analysis as a powerful method for filtering financial series. We compare the results with those obtained by ARMA and GARCH models as linear and nonlinear methods for filtering the series. We also examine the findings on an artificial data set namely the Hénon map.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Mathematics
Subjects:	H Social Sciences > HB Economic Theory Q Science > QA Mathematics
Uncontrolled Keywords:	Measure of dependencies; Noise reduction; Stock markets; Mutual information; Detrended fluctuation analysis; Detrended moving average method; Singular spectrum analysis; ARMA; GARCH
Publisher:	Elsevier
ISSN:	1468-1218
Last Modified:	10 Oct 2017 14:12
URI:	https://orca.cardiff.ac.uk/id/eprint/26404

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