Random Walk in Thinly Traded Stock Markets: The Case of Kuwait

Authors

  • Nabeel E. Al-Loughani Kuwait University

DOI:

https://doi.org/10.34120/ajas.v3i1.325

Abstract

A previous weak-form efficiency study that utilized conventional testing procedures found that the majority of Kuwaiti listed company shares appear to follow a random walk (Butler and Malalkah, 1992). Our study uses weekly market Index data and a combination of traditional and modern testing procedures to examine whether the previous results may be sample and/or methodology specific. The results of traditional tests were consistent with previous findings. However, when more robust econometric techniques were employed, the results consistently favored stationarity but not a random walk. Furthermore, the results indicate that the Kuwaiti stock price series are non-linear and can be described by a Generalised Autoregressive Conditional Heteroscedasticity (GARCH) Model.

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Author Biography

Nabeel E. Al-Loughani, Kuwait University

Ph.D., Business Administration, Golden Gate University, U.S.A., 1987. Assistant Professor, Department of Business Administration, Kuwait University. Current research interests are Finance, International Finance, Investment, Energy Economics, and Banking.

Published

1995

How to Cite

Al-Loughani, N. E. (1995). Random Walk in Thinly Traded Stock Markets: The Case of Kuwait. Arab Journal of Administrative Sciences, 3(1), 198–209. https://doi.org/10.34120/ajas.v3i1.325

Issue

Section

Finance

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