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Factor model estimation by using the alpha-EM algorithm

  • Stony Brook University

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, we apply the alpha-EM algorithm to factor model estimation. The alpha-EM includes the traditional log-EM as a special case. It has been shown that the convergence speed of the alpha-EM algorithm is much faster than log-EM algorithm. The alpha-EM also allows us to choose different alphas to achieve the fastest convergence speed and more accurate factor model estimation for different problems. In practice the update equations from the alpha-EM are not tractable. We can apply causal approximation and series expansion to those update equations to get practital update equations. With these update equations we can show that the alpha-EM can save us in total computation time. Empirical results from real.nancial data are given.

Original languageEnglish
Pages (from-to)10-29
Number of pages20
JournalJournal of Computational Analysis and Applications
Volume18
Issue number1
StatePublished - Jan 2015

Keywords

  • Alpha-EM
  • Alpha-logarithm
  • Convergence speed
  • Factor model
  • Log-EM

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