A new method for analyzing correlations among currency exchange rates

Hai-Zhou Li, Hong Yan

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

2 Citations (Scopus)

Abstract

The correlation between different currency exchange rates has been studied for many years and a number of techniques have been developed. In this paper, we present a new algorithm to analyze the correlation between exchange rates based on biclustering. This algorithm is comprised of two parts. In the first part, the Fast Hough transform is used to detect the lines in the exchange rate pair space. This phase is also called sub-biclustering and every line identified represents a sub-bicluster. In the second part, the sub-biclusters are combined based on comparison and merging. Experiment results show that this biclustering algorithm is very effective. The bicluster patterns are consistent with the underlying economic reasons. © 2007 IEEE.
Original languageEnglish
Title of host publicationProceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007
Pages231-236
Volume1
DOIs
Publication statusPublished - 2007
Event6th International Conference on Machine Learning and Cybernetics, ICMLC 2007 - Hong Kong, China
Duration: 19 Aug 200722 Aug 2007

Publication series

Name
Volume1

Conference

Conference6th International Conference on Machine Learning and Cybernetics, ICMLC 2007
PlaceChina
CityHong Kong
Period19/08/0722/08/07

Research Keywords

  • Biclustering
  • Currency exchange rates
  • Financial data analysis
  • The fast hough transform
  • Time series analysis

Fingerprint

Dive into the research topics of 'A new method for analyzing correlations among currency exchange rates'. Together they form a unique fingerprint.

Cite this