Stock Trade in the Lebanese Emerging Market

عن الكتاب

This research focuses on the predictive power of Internet Technology in studying the effect of socio-economic variables on stock trade in emerging countries: the case of Lebanon. It examines the role of socio-economic variables in explaining country- specific factors (unique risk) and highlights the significance of using Internet Technology as a catalyst to develop the stock trade in emerging markets. Logistic regression was defined as a suitable model to test the research problem. The selection of logistic regression was made because of the need to handle both metric and non-metric independent variables to predict a binary dependent variable. The summary findings of the research were robust. They indicated a significant effect of socio-economic variables (a country-specific factor-unique risk) on the stock trade in the Lebanese market. In addition, they showed that Internet technology exhibited significant predictive power in stock trade. The recommendations for future studies included testing a new dimension of country- specific factors, the socio-economic variables (personal values of people) in other emerging countries, using Internet Technology to accelerate stock trade development, and looking for other factors that may have an effect on stock returns and are still not defined in the field of finance.