The objective of this study is to test the measurable effects of factors that might influence the systemic risk of the shares of Saudi industrial companies. These factors are: companies' use of debt, companies' profitability and companies' liquidity. The study tested the relationship between the variables mentioned during the period June 2006 to July 2011, following Feb, 2006 crisis that hit the Saudi stock market. Using a linear multiple regression model, with an R square of 51%, the study concluded that there is a significant effect of the average debt ratio, average current ratio and average return on equity of Saudi industrial companies on these companies' systematic risk represented by the beta coefficient of these shares.
This study attempts to answer the main question: are there reciprocal effects between the variances of the stock returns in the Saudi market, also the answer to a sub-question. What are the leading stocks in the Saudi market?. Study selected a sample of five stocks representing the basic materials, banking, services, food and transport sectors (SABIC, Al Rajhi, Etisalat, Almarai and Al Bahri respectively). The data sample for the period from 2011 to 2016 is taken, which represents the lifespan of the five-year plan. Daily stock returns were calculated during this period. Study applies the M GARCH-VEC methodology to estimate stock return variances and then perform a multiple regression of five equations using the ARCH Heteroscedasticity estimator. Results of the analysis show a positive effect between stock return variances as well as a positive automatic variance of all stocks returns variances. Finally, the results of the regression analysis of the various equations show that the returns variances of SABIC and Al Rajhi stocks have a dominant impact on the rest of the stock's returns. So they are considered as leading stocks in the market. While the variances returns of Etisalat, Almarai and Al Bahri have a limited impact on the rest of the stocks variances returns, so they are considered as minor stocks
This study asks about the existence of co-variances and correlations among variances in the Saudi stock returns and aims at knowing which stocks are the most closely related to other stocks. A sample of five stocks representing basic materials, banking, services, food and transport sectors and reflecting the main trends in the Saudi market were selected (SABIC, Al Rajhi, Etisalat, Almarai and Al Bahri respectively). Daily stock returns were collected during the period from 2011 to 2016, representing the life of the 5-year plan. The authors used the MARCH-DVEC methodology to estimate the variances and correlations of stock return variances, considering the interactions of stock return variances. The results confirmed the existence of positive co-variances and correlations between stock returns. Al Rajhi, Sabic and Etisalat stock returns showed the largest co-variances and correlations. The general trend values of co-variances indicated positive growth except for Al Bahri. This study concluded that relations between Saudi stocks are stable over time, confirming the Saudi stocks market stability.
This study attempts to answer whether there is an interaction and volatility between the variances of the stock returns in the Saudi market. The sample represents daily stock prices of five sectors i.e. basic materials, banking, services, food, and transportation (SABIC, Al Rajhi, Etisalat, Almarai, and Al Bahri, respectively) from 2011 to 2016. The study applied the M-GARCH-DVEC methodology to estimate the variances of stock returns considering the interactions of returns. Findings/Originality: The results of the analysis show that there are fluctuations in the returns of stocks due to their interaction, but they are very slight as the results of the general trend of long-term variances. The study concludes that the variances between SABIC and Al Rajhi stocks are more stable compared to those of Etisalat, Almarai, and Al Bahri, which are relatively volatile. The results reveal that the variances in stock market returns are more likely to depend on internal factors.
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