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A Chaos Analysis for Greek and Turkish Equity Markets
EuroMed Journal of Business (2010)
  • Alper Ozun
  • Mike P. Hanias
  • Panayiotis G. Curtis
Abstract Purpose - This paper applies chaos theory into the prediction of stock returns using Greek and Turkish stock index data. The aim of the analysis is to empirically show if the markets have informational efficiency, in a comparative perspective. Design/methodology/approach – The research employs Grassberger and Procaccia (1983a, 1983b) methodology into the time series analysis in order to estimate the correlation and minimum embedding dimensions of the corresponding strange attractor. To achieve out of sample multistep ahead prediction, we average over all neighbours’ projections k-steps into the future. Findings - The results display the fact that the chaos theory is suitable to examine the time series of stock index returns. The empirical findings show that the stock markets are efficient in Greece though in Turkey the market is predicable. The main practical implication of the findings is that the technical analysis works in Turkish markets and it is possible to beat the market, while in Greece, the fundamental analysis works for equity trading. Originality/value - The research results have both methodological and practical originality. On the theoretical side, the research shows how the chaos theory can be applied in financial time series analysis. We employ the model with data from Greece, as an EU member; and Turkey, as a candidate to the EU. The fact that the model works in Turkey implies that chaos theory can be used in emerging economies as a prediction model. On the practical side, the paper contributed to the previous literature by providing empirical evidence on market efficiency using a stochastic model.
  • Chaos theory,
  • equity capital,
  • stock markets,
  • Greece,
  • Turkey
Publication Date
Spring May, 2010
Citation Information
Alper Ozun, Mike P. Hanias and Panayiotis G. Curtis. "A Chaos Analysis for Greek and Turkish Equity Markets" EuroMed Journal of Business Vol. 5 Iss. 1 (2010)
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