Visualisation of financial time series by linear principal component analysis and nonlinear principal component analysis

Hao-Che Chen

Papers from arXiv.org

Abstract: In this dissertation, the main goal is visualisation of financial time series. We expect that visualisation of financial time series will be a useful auxiliary for technical analysis. Firstly, we review the technical analysis methods and test our trading rules, which are built by the essential concepts of technical analysis. Next, we compare the quality of linear principal component analysis and nonlinear principal component analysis in financial market visualisation. We compare different methods of data preprocessing for visualisation purposes. Using visualisation, we demonstrate the difference between normal and crisis time period. Thus, the visualisation of financial market can be a tool to support technical analysis.

Date: 2014-10
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://arxiv.org/pdf/1410.7961 Latest version (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:1410.7961

Access Statistics for this paper

More papers in Papers from arXiv.org
Bibliographic data for series maintained by arXiv administrators ().