Test of Elliot Wave theory by time series segmentation algorithms
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Date
2009.
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Thesis (M.A.)-Bogazici University. Institute for Graduate Studies in Social Sciences, 2009.
Abstract
Discovering the patterns of stock prices in a volatile and rapidly-changing market environment is a challenging problem. Elliot Wave theory, a form of technical analysis, attempts to investigate market price movements. The purpose of this study is to test the principles of Elliot Wave theory on Istanbul Stock Exchange(ISE)-National 100 index. Two time series segmentation algorithms, top-down algorithm and a modified version of bottom-up algorithm, are applied. Standard (compulsory) rules and rules expressed as the golden ratio of Fibonacci are formulated by statistical hypotheses. The existence of Elliot Wave pattern in ISE -National 100 index is tested. Hypothesis tests show that Elliot patterns exist in ISE-National 100 index, stating that Istanbul Stock Exchange is not an efficient market.