Sttock Market Behavoir: A Fractal Analysis of Saudi Stock Exchange
Shekar Shetty (),
Dhari AlAbdulhadi and
Mansour AlShamali ()
Additional contact information
Shekar Shetty: Gulf University for Science & Technology
Mansour AlShamali: Kuwait Public Authority for Education
No 902655, Proceedings of International Academic Conferences from International Institute of Social and Economic Sciences
Abstract:
The Saudi stock market is analyzed, using rescaled range analysis to estimate the fractal dimension of price returns and to test the Efficient Market Hypothesis. In order to determine the predictability of a time series, Hurst Exponent for each time series is measured and we find that Saudi market is not totally random during the time period under study. There exists long range dependene in Saudi stock market returns. For most instances, it is determined that the Saudi stock market returns comply with neither the weak form of the efficient market hypothesis nor the random walk assumption. Additionally, for completeness and as part of literature review we bring out Bachelier-Einstein?s absolute Brownian dynamics, and Samuelson-Merton models of Martingale with geometric Brownian dynamic structure of equations.
Keywords: Fractal analysis; Hurst exponent; Efficient Market Hypothesis; Saudi stock market (search for similar items in EconPapers)
Pages: 1 page
Date: 2014-12
New Economics Papers: this item is included in nep-ara
References: Add references at CitEc
Citations:
Published in Proceedings of the Proceedings of the 14th International Academic Conference, Malta, Dec 2014, pages 398-398
Downloads: (external link)
https://iises.net/proceedings/14th-international-a ... id=9&iid=72&rid=2655 First version, 2014
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:sek:iacpro:0902655
Access Statistics for this paper
More papers in Proceedings of International Academic Conferences from International Institute of Social and Economic Sciences
Bibliographic data for series maintained by Klara Cermakova ().