Hasan, M., Hoque, A., Abedin, M. Z., & Gasbarro, D. (2024). FinTech and sustainable development: A systematic thematic analysis using human-and machine-generated processing. International Review of Financial Analysis, 95, 103473.
Hoque, A., Le, T., Hasan, M., & Abedin, M. Z. (2024). Does market efficiency matter for Shanghai 50 ETF index options? Research in International Business and Finance, 67, 102129
Hasan, M., Hoque, A., & Le, T. (2023). Big data-driven banking operations: Opportunities, challenges, and data security perspectives. FinTech, 2(3), 484-509.
Hasan, M., Saini, N., Singhania, M., Yadav, M. P., & Abedin, M. Z. (2022). Non-financial disclosures and sustainable development: A scientometric analysis. Journal of Cleaner Production, 381, 135173
Hasan, M., Noor, T., Gao, J., Usman, M., & Abedin, M. Z. (2022). Rural consumers’ financial literacy and access to FinTech services. Journal of the Knowledge Economy, 14(2), 780-804
Rashidin, M. S., Gang, D., Javed, S., & Hasan, M. (2021). The role of artificial intelligence in sustaining the e-commerce ecosystem: Alibaba vs. Tencent. Journal of Global Information Management (JGIM), 30(8), 1-25
Hasan, M., Le, T., & Hoque, A. (2021). How does financial literacy impact on inclusive finance? Financial innovation, 7(1), 40
Hasan, M., Popp, J., & Oláh, J. (2020). Current Landscape and Influence of Big Data in Finance, Journal of Big Data, 7(1)
Hasan, M., Yajuan, L., & Khan, S. (2020). Promoting China’s inclusive finance through digital financial services. Global Business Review, 23(4), 984-1006
Hasan, M., Yajuan, L., & Mahmud, A. (2020). Regional development of China’s inclusive finance through financial technology. Sage Open, 10(1), 2158244019901252
Hasan, M. M., & Khan, S. (2020). Stock Volatility tests with the CAPM and Fama–French three-factor model: particular reference to world's top 10 largest companies. Torun Business Review, 19(1), 1-20.
Hasan, M., & Hoque, A. (2024). Financial Literacy, Access to Microfinance, and Sustainable Development. In Financial Inclusion: In Pursuit of UN Sustainable Development Goal 8.10 (Chapter 9). Publisher - Springer (Proofreading submitted)
Hasan, M., & Hoque, A. (2023). FinTech Risk Management and Monitoring. In Novel Financial Applications of Machine Learning and Deep Learning: Algorithms, Product Modeling, and Applications (pp. 3-16). Publisher - Springer
1. Hasan, M., & Hoque, A., (UNDER REVIEW). How does branchless (Neo-banking) promote inclusive finance? Journal: European Journal of Finance
Abstract: Along with other recent FinTech innovations, Neo-banking, branch-less banking, offers a range of financial services that are believed to enhance inclusive finance. Given Neo-banking's positive impact on financial accessibility, this study aims to quantify the influence of FinTech, particularly Neo-banking, on inclusive finance, with a focus on how Neo-banking as FinTech innovation bridges the financial exclusion gap. We employ Pooled Ordinary Least Squares (OLS) and Quantile Regressions using data across 72 countries from 2017 to 2022. This study also extends empirical experiments Three-Stage Least Squares (3SLS) regressions and Generalized Method of Moments (GMM) estimation to address endogeneity. We find that Neo-banking has a significantly positive impact on inclusive finance, particularly in encouraging access to finance adoption and inspiring borrowing from financial institutions. However, neo-banking does not encourage people to save in their bank accounts. We also find, the institutional quality is also significantly fostering inclusive finance.
Keywords: FinTech; Neo-banking; Mobile Money; Access to Finance; Inclusive Finance; Financial Inclusion; 3SLS
2. Hasan, M. (REVISION SUBMITTED). Biofuels, Green Finance, and Economic Expansion: Empirical Evidence from European Union. Journal: Financial Innovation.
Abstract: This study aims to investigate how the production and consumption of biofuels, along with green finance, contribute to the European Union's (EU) economic expansion. The study first employs unit root tests (IM, Pearson, and Shin unit root test and ADF unit root test) followed by panel cointegration tests (Pedroni Residual Cointegration Test and Kao Residual Cointegration Test) to determine the appropriate empirical methods. Based on the unit root and cointegration test outputs, this study selects non-stationary panel data methods, specifically FMOLS and DOLS models. Experiments are conducted using panel data from 2001 to 2022 from European Union countries. The empirical results indicate that both the production and consumption of biofuels significantly contribute to the expansion of the EU economy, thereby promoting the EU circular economy. Notably, the production of biofuels exerts a relatively greater influence than their consumption. Additionally, green finance promotes the consumption of biofuels and economic expansion.
Keywords: Biofuels, Green Finance, and Economic Expansion: Empirical Evidence from European Union
3. Hasan, M. (single author working paper). Quantifying the Impact of Fintech on Financial, Economic, and Environmental Sustainability. Targeted Journal: Journal of Financial Intermediation
Financial technology (Fintech) and sustainability are pressing issues nowadays. Fintech is transforming the entire finance and business world. On the other hand, sustainable development is an issue for renovating our existing world into a better world for living in all aspects. This study brings these two contemporary issues into the same research platform to analyse the impact of fintech on sustainable development guided by the United Nations' Sustainable Development Goals (SDGs) targets.
Sustainable development is measured in financial, economic, and environmental aspects. First, inclusive finance (access to formal banking and fintech) is the financial approach that quantifies sustainable development. Next, poverty alleviation, income inequality reduction and economic growth are economic factors that measure sustainable development. Finally, carbon emission reduction is a critical environmental issue that determines sustainable development.
Fintech is measured here by digital payment (e-commerce, remittance, personal finance, and mobile POS payment), alternative finance, alternative lending, digital investment (asset or wealth management), and neo-banking.
Overall, the purpose is to identify the empirical impact of fintech in financial (inclusive of finance), economic (poverty alleviation, income inequality reduction, and economic growth), and environmental (carbon emission reduction) aspects; findings lead to the research gap and develop research questions.
The methodology of this study covers the panel data estimations (Fixed effects and Random effects), including necessary pre-regression experiments (autocorrelation test, CD test, Unit root test, and so on). The endogeneity bias addressing experiments include GMM and 3SLS, including both time and ID (country) fixed effects with a number of instrumental variables that will not correlate with the specific dependent variables in all three aspects.
Keywords: FinTech; Sustainable Development; Access to Finance; Inclusive Finance; Financial Inclusion; Poverty alleviation, Income inequality, Carbon emissions
Expert in STATA and Eviews
Good Command in R Studio
Basic level expertise with Python, particularly some libraries