Optimizing Financial Portfolios from the Perspective of Mining Temporal Structures of Stock Returns

  • Kai-Chun Chiu
  • Lei Xu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2734)


In the literature, return-based approaches which directly used security prices or returns to control portfolio weights were often used. Inspired by the arbitrage pricing theory (APT), some other efforts concentrate on indirect modelling using hidden factors. In this paper, we investigate how the gaussian temporal factor analysis (TFA) technique can be used for portfolio optimization. Since TFA is based on the classical APT model and has the benefit of removing rotation indeterminacy via temporal modelling, using TFA for portfolio management allows portfolio weights to be indirectly controlled by several hidden factors.


Stock Return Portfolio Optimization Independent Component Analysis Portfolio Management Short Selling 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Kai-Chun Chiu
    • 1
  • Lei Xu
    • 1
  1. 1.Department of Computer Science and EngineeringThe Chinese University of Hong KongShatin, N.T., Hong KongP.R. China

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