Abdulaziz Adel Abdulaziz Aldaarmi
Email: Abdulaziz.aldaarmi@brunel.ac.uk
Office: Howell Building, H300, Desk 24
PhD Supervisor: Dr. Mysam Abbod
Research Area: Finance and accounting
Sponsoring Organization: School of Engineering & Design, Brunel University, UK
Academic Qualification :
- Master’s Degree in Economics King Saud University 2008.
- Bachelor’s Degree in Accounting King Saud University 2001.
Research Interests: Finance and accounting, Financial Economics, stock market.
PhD Research:
Some studies have found evidence that stock returns are predictable using micro and macro variables, others failed to find any support at all for the ability of certain micro or macro variables to predict returns. In other words, evidence of the predictive ability for a given variable has not always been found. The mixed results make it difficult to determine which particular micro or macro variables (if any) are reliable.
Therefore, the problem of this study is to examine whether the predicting power of stock return can be improved in Saudi Arabia Stock Exchange (Tadwal) by using computer-based information systems (artificial networks).
Moreover, this study argues the efficiency of Saudi Arabia Stock Exchange. If attempts to improve the predicting power of stock return in Saudi Arabia Stock Exchange through the use computer-based information systems made the market inefficient, then there are two possibilities. This inefficiency may be due to the fact that it is an emerging market. Alternatively, the predicating power of stock return in Saudi Arabia Stock Exchange (ASE) cannot be improved by using the computer-based information systems.
Conference Publications:
- The 5th annual SED research student conference 18th -20th June 2012 Brunel university
- Saudi scientific international conference 11th-14th October 2012.
