Application of noise level estimation for portfolio optimization

Krzysztof Urbanowicz () and Janusz A. Hołyst ()
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Krzysztof Urbanowicz: Max Planck Institute for the Physics of Complex Systems
Janusz A. Hołyst: Warsaw University of Technology

A chapter in Practical Fruits of Econophysics, 2006, pp 236-240 from Springer

Abstract: Summary Time changes of noise level at Warsaw Stock Market are analyzed using a recently developed method basing on properties of the coarse grained entropy. The condition of the minimal noise level is used to build an efficient portfolio. Our noise level approach seems to be a much better tool for risk estimations than standard volatility parameters. Implementation of a corresponding threshold investment strategy gives positive returns for historical data.

Keywords: Noise level estimation; stock market data; time series; portfolio diversification (search for similar items in EconPapers)
Date: 2006
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-4-431-28915-9_43

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DOI: 10.1007/4-431-28915-1_43

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