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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Impact of oil and other economic forces on the Saudi stock market

Altoyan, Abdulaziz S. January 2004 (has links)
The Saudi Arabian Stock Market went through several changes since the substantial increase of oil prices in 1973. This study firstly analyses the impact of oil revenue in developing the market and shaping its major characteristics. Secondly, it examines the effect of oil prices fluctuation and other macroeconomic variables as a determinant of stock return over the period between 1991 and 2000.;The main empirical findings indicate that the market risk premium is the most important factor in determining stock return. The influence of oil prices fluctuation over and above the market premium was explicit in firms belonging to subsidised sectors such as electricity and agriculture.;The impact of other economic variables varies among different firms listed in the market. Exchange rate has a significant effect on the banking firms while other variables have limited impact over and above the market on various companies, indicating that the effect of these variables are captured by market index. The results of empirical analysis become more explicit when replacing the market premium factor with market timing risk. In general, study suggests that under the current circumstances, the market premium is the most appropriate measure in determining the return in the Saudi Stock Market.
2

Effect of regulation, Islamic law and noise traders on the Saudi stock market

Ibnrubbian, Abdullah K. January 2012 (has links)
Saudi stock market (SSM) has witnessed various market regulations and transformations taking place over the past decade. However, the impact of these reforms on market efficiency has not been addressed in the literature. Furthermore, idiosyncratic features of the market can play an important role on the market performance, yet these features have not been fully investigated. The aim of this thesis is to tackle these issues by empirically examining the market efficiency hypothesis and volatility behaviour of the Saudi stock market. Specifically, in order to better understand the relationship between stock returns and prohibition of interest (riba), both conditional and unconditional volatilities are investigated in the context of Islamic law and herd behaviour of noise traders. In Chapter 2 the efficient market hypothesis is tested on the basis of various market efficiency models. Results of both parametric and non-parametric tests reveal that despite the evidence of improved efficiency in the Saudi stock market the weak form of efficient market hypothesis theory is still generally rejected. Chapter 3 considers two types of the generalised autoregressive conditional heteroscedasticity (GARCH) model, a univariate and multivariate GARCH. Specifically, the univariate GARCH model is used to test the seasonality effect of the Ramadan month on each of the five stock market sectors. The multivariate GARCH is used instead to investigate the effect of interest (riba) prohibition in Islam on the volatility of the Saudi stock market. A distinction is made between stocks that are in agreement with Islamic Sharia’a law and interest paying stocks that are not allowed to devoted Muslim investors. The result demonstrates that the Islamic compliant sectors are more volatile than non-Islamic compliant ones. Further, Ramadan seasonality is more significant for non-Islamic compliant stocks. Chapter 4 investigates market inefficiency by considering two anomalies: investors’ herd behaviour and structural breaks in the Saudi stock market. The herd behaviour is investigated by estimating a nonlinear asymmetric cross-sectional absolute deviation model, whereas structural shifts are modelled by estimating a Markov regime switching model. The volatility models considered confirm that both Islamic law and immature behaviour of investors are important factors that contribute to informational imperfectness in the Saudi stock market.

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