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A Spectral Decomposition Approach To Separating Independent Factors: The Case Of Foreign Exchange Rates

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  • Sorin-Manuel Delureanu Ph. D Student

    (University of Craiova, Faculty of Economy and Business Administration, Romania)

Abstract

In this paper, Independent Component Analysis (ICA) is addressed for revealing fundamental factors behind 6 parallel series of foreign exchange rates. ICA is belonging to the blind source separation (BSS) area of research. Each measured signal is considered a mixture of several distinct underlying factors. Separating such fundamental causal factors is very important for multivariate financial time series analysis, in order to explain past co-movements and to predict future evolutions.

Suggested Citation

  • Sorin-Manuel Delureanu Ph. D Student, 2015. "A Spectral Decomposition Approach To Separating Independent Factors: The Case Of Foreign Exchange Rates," Revista Tinerilor Economisti (The Young Economists Journal), University of Craiova, Faculty of Economics and Business Administration, vol. 1(25), pages 117-126, NOVEMBER.
    • Handle: RePEc:aio:rteyej:v:1:y:2015:i:25:p:117-126
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    More about this item

    Keywords

    blind source separation; independent component analysis; financial time series critical;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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