PATTERN RECOGNITION OF THE TERM STRUCTURE USING INDEPENDENT COMPONENT ANALYSIS
2006 ◽
Vol 20
(02)
◽
pp. 173-188
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Keyword(s):
Term structure is a useful curve describing some financial asset as a function of time to maturity or expiration. In this paper, we propose to use Independent Component Analysis (ICA) to model the term structure of multiple yield curves. The idea is that we first employ ICA to decompose the multivariate time series, then we suggest two ICA methods for dimension reduction and pattern recognition of the term structure. We also compare the results by using an alternative method, Principal Component Analysis (PCA). The empirical studies suggest that the proposed ICA approaches outperform PCA methods in modeling the term structure. This model can be used in financial time series analysis as well as related financial applications.
2017 ◽
Vol 46
(3-4)
◽
pp. 57-66
◽
2007 ◽
Vol 19
(7)
◽
pp. 1962-1984
◽
2006 ◽
Vol 16
(05)
◽
pp. 371-382
◽
2000 ◽
Vol 105
(D13)
◽
pp. 17437-17455
◽