Discussion Papers 2016

CIRJE-F-1010

"Style Analysis with Particle Filtering and Generalized Simulated Annealing"

Author Name

Fukui, Takaya, Seisho Sato, and Akihiko Takahashi

Date

April 2016

Full Paper

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Remarks

Revised in June 2016 and March 2017; forthcoming in International Journal of Financial Engineerin.

Abstract

This paper proposes a new approach to style analysis of mutual funds in a general state space framework with particle filtering and generalized simulated annealing (GSA). Specifucally, we regard the exposure of each style index as a latent state variable in a state space model and employ a Monte Carlo filter as a particle filtering method, where GSA is effectively applied to estimating unknown parameters. An empirical analysis using data of three Japanese equity mu- tual funds with six standard style indexes confirms the validity of our method. Moreover, we create fund-specific style indexes to further improves estimation in the analysis.

Keywords: Style analysis, Particle ltering, Monte Carlo lter, Generalized simulated annealing, Mutual fund, State space model