Description

Stock Trade in the Lebanese Emerging Market

By: Victor Bahous

The 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 explains the specific country factors (unique risk) and highlights the significance of using Internet Technology as a catalyst to develop the stock trade in emerging markets.

Logistic regression is 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.  The indicate a significant effect of socio-economic variables on the stock trade in the Lebanese market.  In addition, they show that Internet technology exhibits significant predictive power in stock trade.  The recommendations for future studies included testing a new dimension of a country’s 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 to stock returns and are still not defined in the field of finance.

Language(s): English
ISBN: 9953418608
2005, Paperback, 248 pages, 17 x 24 cm