View Profile

Wajid Shakeel Ahmed

Senior Lecturer · Westminster International University Tashkent

https://researchid.co/drwajid
@wiut.uz
16Scopus Publications
237Google Scholar Citations
8Google Scholar h-index
6Google Scholar i10-index

Research Interests

My research seeks to build better understanding related to risk management knowledge area, specific to but not limited tostochastic and static time series analysis for prediction, and introduce the deep learning and machine learning techniques for forecasting...

Biography

Dr. WAJID SHAKEEL AHMED has completed PhD in Business Administration and currently serving in the capacity of Senior Lecturer Finance in School of Business and Economics (SOBE) in Westminster International University Tashkent, Tashkent, Uzbekistan. Previously, he worked as an Associate Professor of Finance in Management Sciences Department at COMSATS University ISlamabad, Pakistan. He has supervised graduate and post-graduate students in the field of financial econometrics, business analytics, financial markets and institutions, financial risk management and investment and risk management.

Education

Dr. Wajid Shakeel Ahmed has earned M.Sc. International Finance & Economic Policy from UNIVERSITY OF GLASGOW, SCOTLAND, U.K (Triple accredited by AACSB, EQUIS and AMBA).

Recent Scopus Publications

  1. Do trade openness and derivative markets nexus play vital role on economic development? Empirical investigation from developed and emerging economies
    Cogent Economics and Finance, 2025
  2. Connecting Internal and External Knowledge Sharing with Performance Creativity, Problem-Solving Creativity, and Leadership Behavior in the Banking and Insurance Industry of Pakistan
    Organizational Knowledge Management Strategies and Tools for Higher Education and Other Sectors, 2025
  3. Forecasting Bitcoin: A Comparative Analysis of Traditional versus Machine Learning Approach
    Transformations in Banking Finance and Regulation, 2025
  4. Forecasting multi-frequency intraday exchange rates using deep learning models
    Journal of Forecasting, 2024
  5. Determine Intraday Trading Currency’s Trend Framework Evidence From Machine Learning Techniques
    International Journal of Business Intelligence Research, 2024

Links