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Toward a computable approach to the efficient market hypothesis: An application of genetic programming

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Publication:1391665
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DOI10.1016/S0165-1889(97)82991-0zbMath0901.90057OpenAlexW2022092862MaRDI QIDQ1391665

Chia-Hsuan Yeh, Shu-Heng Chen

Publication date: 22 July 1998

Published in: Journal of Economic Dynamics \& Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0165-1889(97)82991-0

zbMATH Keywords

evolutionary computationgenetic programmingefficient market hypothesisminimum description length principlemean absolute percentage error


Mathematics Subject Classification ID

Economic time series analysis (91B84) Learning and adaptive systems in artificial intelligence (68T05)


Related Items

Heterogeneity, convergence, and autocorrelations, Generating trading rules on the stock markets with genetic programming., A behavioral asset pricing model with a time-varying second moment, CHANCE DISCOVERY IN STOCK INDEX OPTION AND FUTURES ARBITRAGE, Power-law behaviour, heterogeneity, and trend chasing



Cites Work

  • A universal prior for integers and estimation by minimum description length
  • The Claude Bernard Lecture, 1989 - Deterministic chaos: the science and the fiction
  • A test for independence based on the correlation dimension
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