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Evolutionary model of stock markets

Joachim Kaldasch

Physica A: Statistical Mechanics and its Applications, 2014, vol. 415, issue C, 449-462

Abstract: The paper presents an evolutionary economic model for the price evolution of stocks. Treating a stock market as a self-organized system governed by a fast purchase process and slow variations of demand and supply the model suggests that the short term price distribution has the form a logistic (Laplace) distribution. The long term return can be described by Laplace–Gaussian mixture distributions. The long term mean price evolution is governed by a Walrus equation, which can be transformed into a replicator equation. This allows quantifying the evolutionary price competition between stocks. The theory suggests that stock prices scaled by the price over all stocks can be used to investigate long-term trends in a Fisher–Pry plot. The price competition that follows from the model is illustrated by examining the empirical long-term price trends of two stocks.

Keywords: Stock price evolution; Return distribution; Evolutionary finance; Competition; Walrus equation; Laplace–Gaussian mixtures (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (4)

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Working Paper: Evolutionary Model of Stock Markets (2015) Downloads
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:415:y:2014:i:c:p:449-462

DOI: 10.1016/j.physa.2014.08.037

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Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

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