Ajim Uddin
Ajim Uddin
Assistant Professor, MT School of Management
2016 Central Avenue Building (CAB)
About Me
Ajim Uddin recently completed a Ph.D. in Business Data Science at the New Jersey Institute of Technology. His research area is FinTech and the application of machine learning to finance, with a special focus on financial networks. He has applied his research toward the development of a dynamic graph learning framework for asset pricing and incorporating signed networks, i.e., positive and negative connections, in equity pricing models. He is also working on understanding the influence of network connections among decision-makers in the financial decision-making process. This includes designing a network projection model to examine how being connected to more managers or connected to prominent managers influences institutional investors' herding behavior and portfolio performance. His work has been published in peer-reviewed journals such as Quantitative Finance, Global Finance Journal and Finance Research Letters. He also received the "Best Contribution to Theory" and "Overall Best Conference Paper" awards at the 51st Annual Conference of the Northeast Decision Sciences Institute.
Education
Ph.D.; New Jersey Institute of Technology; Business Data Science; 2022
M.S.; Southern Illinois University Edwardsville; Economics and Finance; 2017
M.B.A.; Shahjalal University of Science & Technology; Finance and Banking; 2016
B.B.A.; Shahjalal University of Science & Technology; Finance and Banking; 2013
M.S.; Southern Illinois University Edwardsville; Economics and Finance; 2017
M.B.A.; Shahjalal University of Science & Technology; Finance and Banking; 2016
B.B.A.; Shahjalal University of Science & Technology; Finance and Banking; 2013
Website
2024 Spring Courses
FIN 620 - ADV FINANCIAL DATA ANALYTICS
FIN 611 - INTRO TO TOPICS IN FIN TECH
BDS 725 - INDEPENDENT STUDY I
FIN 611 - INTRO TO TOPICS IN FIN TECH
BDS 725 - INDEPENDENT STUDY I
Teaching Interests
Dr. Uddin’s teaching interests include Financial Technology (FinTech), Data Mining and Machine Learning for Finance, and Financial Data Analytics.
Past Courses
FIN 315: FUNDAMENTALS OF CORPORATE FINANCE
FIN 410: DATA MINING & MACHINE LEARNING
FIN 611: INTRO TO TOPICS IN FIN TECH
FIN 620: ADV FINANCIAL DATA ANALYTICS
FIN 410: DATA MINING & MACHINE LEARNING
FIN 611: INTRO TO TOPICS IN FIN TECH
FIN 620: ADV FINANCIAL DATA ANALYTICS
Research Interests
FinTech, Application of Machine Learning in Asset Pricing, Graph Neural Network
Journal Article
Gu, Jingyi, & Shukla, Sarvesh, & Ye, Junyi, & Uddiin, Ajim, & Wang, Guiling Deep learning model with sentiment score and weekend effect in stock price prediction. SN Business & Economics, 3(7),
Uddiin, Ajim, & Tao, Xinyuan, & Yu, Dantong (2023). Attention based dynamic graph neural network for asset pricing. Global Journal Finance, 58,
Abdullah, Mohammad, & Chowdhury, Mohammad Ashraful Ferdous , & Uddiin, Ajim, & Moudud-Ul-Huq, Syed (2023). Forecasting Non-Performing Loans Using Machine Learning. Journal of Forecasting, 42(7),
Uddiin, Ajim, & Tao, Xinyuan, & Yu, Dantong (2023). Attention based dynamic graph neural network for asset pricing.. Global finance journal, 58,
Uddiin, Ajim, & Tao, Xinyuan, & Yu, Dantong (2023). Attention Based Dynamic Graph Neural Network for Asset Pricing. Global Finance Journal, 58(November 2023),
Uddiin, Ajim, & Tao, Xinyuan, & Yu, Dantong (2023). Attention based dynamic graph neural network for asset pricing. Global Journal Finance, 58,
Abdullah, Mohammad, & Chowdhury, Mohammad Ashraful Ferdous , & Uddiin, Ajim, & Moudud-Ul-Huq, Syed (2023). Forecasting Non-Performing Loans Using Machine Learning. Journal of Forecasting, 42(7),
Uddiin, Ajim, & Tao, Xinyuan, & Yu, Dantong (2023). Attention based dynamic graph neural network for asset pricing.. Global finance journal, 58,
Uddiin, Ajim, & Tao, Xinyuan, & Yu, Dantong (2023). Attention Based Dynamic Graph Neural Network for Asset Pricing. Global Finance Journal, 58(November 2023),
SHOW MORE
Conference Proceeding
HODL: The Hold of Reddit Over the Stock Market
2023
A Fast Non-Linear Coupled Tensor Completion Algorithm for Financial Data Integration and Imputation
4th ACM International Conference on AI in Finance: ICAIF'23, November 2023
A Fast Non-Linear Coupled Tensor Completion Algorithm for Financial Data Integration and Imputation
ACM, November 2023
NMTucker: Non-linear Matryoshka Tucker Decomposition for Financial Time Series Imputation
ACM, November 2023
The Network of Mutual Funds: A Dynamic Heterogeneous Graph Neural Network for Estimating Mutual Funds Performance
ACM, November 2023
2023
A Fast Non-Linear Coupled Tensor Completion Algorithm for Financial Data Integration and Imputation
4th ACM International Conference on AI in Finance: ICAIF'23, November 2023
A Fast Non-Linear Coupled Tensor Completion Algorithm for Financial Data Integration and Imputation
ACM, November 2023
NMTucker: Non-linear Matryoshka Tucker Decomposition for Financial Time Series Imputation
ACM, November 2023
The Network of Mutual Funds: A Dynamic Heterogeneous Graph Neural Network for Estimating Mutual Funds Performance
ACM, November 2023
SHOW MORE