International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

Estimating the Hurst Parameter of the Nigerian All-Share Index (1990-2007)

Maurice Nnamdi ANNORZIE

Abstract: In this work, the Rescaled Range Statistics R/S was used to analyze the Nigerian All-Share Index (NASI) of the Nigerian Stock Market from 1990 to 2007. The times series of NASI driven by a four-quarter moving average over 72 observations was classified. The Hurst parameter H? (0,1) as a dimensionless estimator, was obtained, in order to characterize the historical market?s trend. The value of H obtained showed the long-range dependence (LRD) of the NASI.

Keywords: Rescaled Range Statistics, Nigerian Stock Market, Hurst Parameter, Long-range Dependence

How to Cite?: Maurice Nnamdi ANNORZIE, "Estimating the Hurst Parameter of the Nigerian All-Share Index (1990-2007)", Volume 7 Issue 7, July 2018, International Journal of Science and Research (IJSR), Pages: 420-424, https://www.ijsr.net/getabstract.php?paperid=ART20183884, DOI: https://dx.doi.org/10.21275/ART20183884

Download Citation: APA | MLA | BibTeX | EndNote | RefMan

Share This Research

Help this article reach readers, researchers and professionals.

Share activity is measured for research-engagement analytics. Only verified, unique public shares can support award tie-breaking.

Confirm Your Share

Enter your details so IJSR can confirm this sharing activity.

Your details are used to validate this share and protect the award process from duplicate or false activity.

Download Article PDF


Rate This Article!

Top

Confirm Your Share

Enter your details so IJSR can confirm this sharing activity.

Your details are used to validate this share and protect the award process from duplicate or false activity.