About

Mahmud Hassan is a Professor at Rutgers Business School with expertise in Finance & Economics. His research areas include mergers and acquisitions in the pharmaceutical industry, cost of capital and investment decisions, capital structure policy, charity care by non-profit hospitals, and medical malpractice. His scholarly articles have been published in numerous peer-reviewed journals such as the Journal of Finance, Journal of Health Economics, Journal of Business, Journal of American Medical Association (JAMA), Health Affairs, International Journal of Healthcare and Pharmaceutical Marketing, and Inquiry. Dr. Hassan holds a Ph.D. in Economics from Vanderbilt University, an M.A. in Economics from Boston University, and an M.B.A. from Indiana University. His work contributes to understanding complex financial and healthcare issues, and he is recognized for his research contributions in these fields.

Research topics

• Machine Learning
• Economics
• Artificial Intelligence
• Computer Science
• Public economics
• Monetary economics
• Mathematics
• Finance
• Accounting
• Business

Selected publications

• Feature Transformation for Corporate Tax Default Prediction: Application of Machine Learning Approaches

  Asia Pacific Journal of Operational Research · 2021 · 11 citations

  • Computer Science
  • Artificial Intelligence
  • Machine Learning

  Applications of machine learning (ML) and data science have extended significantly into contemporary accounting and finance. Yet, the prediction and analysis of taxpayers’ status are relatively untapped to date. Moreover, this paper focuses on the combination of feature transformation as a novel domain of research for corporate firms’ tax status prediction with the applicability of ML approaches. The paper also applies a tax payment dataset of Finish limited liability firms with failed and non-failed tax information. Seven different ML approaches train across four datasets, transformed to non-transformed, that effectively discriminate the non-default tax firms from their default counterparts. The findings advocate tax administration to choose the single best ML approach and feature transformation method for the execution purpose.

  PublisherDOI

• AAOIFI ACCOUNTING STANDARDS AND A THEORY OF INTEREST-FREE BANKING

  The Singapore Economic Review · 2020 · 8 citations

  • Economics
  • Accounting
  • Monetary economics

  Based on the Accounting and Auditing Organization for Islamic Financial Institutions (AAOIFI) issued six new Financial Accounting Standards (FAS) in 2017, we derive the cost of financing formulas for various Islamic financing contracts. Later, we present a simple theoretical framework for interest-free Islamic banking based on the Basic Limited-Participation Model seminal approach developed by Lucas ( Lucas, RE Jr. ( 1990 ). Liquidity and interest rates. Journal of Economic Theory, 50(2), 237–264.) and Fuerst’s ( Fuerst, TS ( 1992 ). Liquidity, loanable funds, and real activity. Journal of Monetary Economics, 29(1), 3–24.), and later followed by Walsh ( Walsh, C ( 1998 ). Money in the short run: Informational and portfolio rigidities. In Monetary Theory and Policy, pp. 211–223. Cambridge, Mass.: MIT Press.). We compare the competing theoretical models for conventional banks and for interest-free Islamic banks and formulate testable hypothesis. To complement our models, we provide empirical evidence by using a unique sample of 15 banks from Bangladesh that provide both conventional banking and Islamic banking services. Results suggest that Islamic bank profit rates and conventional bank interest rates are correlated in an economic environment where conventional and Islamic banks dwell under same regulatory framework.

  PublisherDOI

Frequent coauthors

• Benito Sánchez

  Kean University

  49 shared

• Jung‐Suk Yu

  47 shared

• Andrea Paltrinieri

  Università Cattolica del Sacro Cuore

  46 shared

• Reza Houston

  George Mason University

  46 shared

• Mamunur Rashid

  44 shared

• Aishath Muneeza

  42 shared

• Neal Maroney

  University of New Orleans

  41 shared

• Md. Sydul Karim

  Lawrence Technological University

  38 shared

Education

• Ph.D., Finance

  University of Nebraska-Lincoln

  1990

Similar researchers at Rutgers University

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