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Volatility interdependences in the Saudi stocks market Eltahir, Yassin Ibrahim; Sallam, Osama Azmi; Osman, Hussien Omer; Klabi, Fethi
Economic Journal of Emerging Markets Volume 11 Issue 1, 2019
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/ejem.vol11.iss1.art8

Abstract

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.
DOES VOLATILITY GENERATE MAJOR AND MINOR STOCKS IN SAUDI STOCKS MARKET? Eltahir, Yassin Ibrahim; Sallam, Osama Azmi; Osman, Hussien Omer; Klabi, Fethi
Integrated Journal of Business and Economics (IJBE) Vol 4, No 1 (2020): Integrated Journal of Business and Economics
Publisher : Faculty of Economics, Bangka Belitung University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (351.618 KB) | DOI: 10.33019/ijbe.v4i1.239

Abstract

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