Ajim Uddin
Ajim Uddin
Assistant Professor, MT School of Management
2016 Central Avenue Building
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
Past Courses
FIN 315: FUNDAMENTALS OF CORPORATE FINANCE
FIN 410: DATA MINING & MACHINE LEARNING
FIN 611: INTRO TO TOPICS IN FIN TECH
FIN 410: DATA MINING & MACHINE LEARNING
FIN 611: INTRO TO TOPICS IN FIN TECH
Research Interests
FinTech, Application of Machine Learning in Asset Pricing, Graph Neural Network
Conference Proceeding
Core Matrix Regression and Prediction with Regularization
November 2022
Machine Learning for Earnings Prediction: A Nonlinear Tensor Approach for Data Integration and Completion
November 2022
Temporal Bipartite Graph Neural Networks for Bond Prediction
November 2022
Attention Based Dynamic Graph Learning Framework for Asset Pricing
October (4th Quarter/Autumn) 2021
Nonlinear Tensor Completion Using Domain Knowledge: An Application in Analysts' Earnings Forecast
November 2020
November 2022
Machine Learning for Earnings Prediction: A Nonlinear Tensor Approach for Data Integration and Completion
November 2022
Temporal Bipartite Graph Neural Networks for Bond Prediction
November 2022
Attention Based Dynamic Graph Learning Framework for Asset Pricing
October (4th Quarter/Autumn) 2021
Nonlinear Tensor Completion Using Domain Knowledge: An Application in Analysts' Earnings Forecast
November 2020
Journal Article
Fang, Ming, & Taylor, Stephen, & Uddiin, Ajim (2022). The network structure of overnight index swap rates. Finance Research Letters, 46,
Uddiin, Ajim, & Tao, Xinyuan, & Chou, Chia, & Yu, Dantong (2022). Are missing values important for earnings forecasts? A machine learning perspective. Quantitative Finance, 22(6), 1113-1132.
Chowdhury, Mohammad, & Meo, Muhammad, & Uddiin, Ajim, & Haque, Md (2021). Asymmetric effect of energy price on commodity price: New evidence from NARDL and time frequency wavelet approaches. Energy, 231,
Uddiin, Ajim, & Yu, Dantong (2020). Latent factor model for asset pricing. Journal of Behavioral and Experimental Finance, 27,
Uddiin, Ajim, & Tao, Xinyuan, & Chou, Chia, & Yu, Dantong (2022). Are missing values important for earnings forecasts? A machine learning perspective. Quantitative Finance, 22(6), 1113-1132.
Chowdhury, Mohammad, & Meo, Muhammad, & Uddiin, Ajim, & Haque, Md (2021). Asymmetric effect of energy price on commodity price: New evidence from NARDL and time frequency wavelet approaches. Energy, 231,
Uddiin, Ajim, & Yu, Dantong (2020). Latent factor model for asset pricing. Journal of Behavioral and Experimental Finance, 27,