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IMKB100 ENDEKS DEĞİŞİM DEĞERLERİNDE LYAPUNOV ÜSTELİ METODUYLA KAOSUN İNCELENMESİ

Year 2016, Volume: 8 Issue: 30, 151 - 174, 01.06.2016

Abstract

INVESTIGATION OF CHAOS IN IMKB100 CHANGE VALUES VIA LYAPUNOV EXPONENT METHOD

Year 2016, Volume: 8 Issue: 30, 151 - 174, 01.06.2016

Abstract

In nonlinear time series analysis, the largest Lyapunov exponent, which,
if positive, is the evidence for chaos. In this paper, we investigate chaos
in IMKB100 time series data with Lyapunov Exponent Method. With the
well-known time series analysis tools, we show that the future market
values are sequentially unpredictable.

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Details

Other ID JA98JU62AS
Journal Section Articles
Authors

Orcan Alpar This is me

Özge Eren This is me

Publication Date June 1, 2016
Submission Date June 1, 2016
Published in Issue Year 2016 Volume: 8 Issue: 30

Cite

APA Alpar, O., & Eren, Ö. (2016). IMKB100 ENDEKS DEĞİŞİM DEĞERLERİNDE LYAPUNOV ÜSTELİ METODUYLA KAOSUN İNCELENMESİ. İstanbul Aydın Üniversitesi Dergisi, 8(30), 151-174.

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