Date of Award


Document Type


Degree Name

Doctor of Business Administration (DBA)


Business Administration

First Advisor

Abdulnaser Hatemi-J

Second Advisor

Abdulrahman Al Shayeb

Third Advisor

Youssef Abdul Monehm EI Khat ib


This thesis consists of six chapters. The first provides an overall introduction. The second offers a retrospective review of the development of the financial markets in the UAE from their start until now. The third chapter investigates empirically the casual nexus of the Abu Dhabi and Dubai stock markets in order to assess the degree of integration between these two domestic markets. To our best knowledge, this is the best attempt to explore domestic financial market integration within the context of the UAE. The fourth chapter extends the analysis in order to examine the degree of financial market integration of the UAE with regards to the global market. The fifth chapter deals with the impact of the recent real estate financial crisis on the UAE real estate market, which is considered an important sector for the economic development of the country. Chapter 6 examines the dynamic impact of oil prices on the stock market. Our methods consist of both symmetric and asymmetric causality tests, which are used in Chapters 3-6. When testing for causality, we do not make any distributional assumptions. We generate critical values via bootstrap simulations with leverage adjustments. This approach is expected to be more accurate since the underlying data set is usually non-normal with time varying volatility. We also make use of the asymmetric generalized impulse response functions in Chapter 5 and the last chapter. Allowing for asymmetric impacts is considered to be in line with the way that markets generally operate since it is widely agreed that people in the financial world tend to react more to negative news than positive news. Our conjecture is that the empirical findings which this thesis offers can be useful to both investors and policy makers in the UAE.

Included in

Business Commons