Test of Elliot Wave theory by time series segmentation algorithms

dc.contributor	Graduate Program in Management Information Systems.
dc.contributor.advisor	Badur, Bertan Yılmaz.
dc.contributor.author	Çağatay, Tamer.
dc.date.accessioned	2023-03-16T12:51:39Z
dc.date.available	2023-03-16T12:51:39Z
dc.date.issued	2009.
dc.identifier.other	MIS 2009 C34
dc.identifier.uri	http://digitalarchive.boun.edu.tr/handle/123456789/18132
dc.description.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.
dc.format.extent	30cm.
dc.publisher	Thesis (M.A.)-Bogazici University. Institute for Graduate Studies in Social Sciences, 2009.
dc.subject.lcsh	Elliott wave principle.
dc.title	Test of Elliot Wave theory by time series segmentation algorithms
dc.format.pages	viii, 67 leaves;