Dr. Md Ruhul Amin
Professor FB About: Research interest: ResearchGate:0
Google Scholar:Academic / Faculties / Faculty
Professor
ID: 210217
Professor
ID: 210220
Professor
ID: 210219
Associate Professor
ID: 210221
Associate Professor
ID: 210218
Chairman & Assistant Professor
ID: 210222
Assistant Professor
ID: 210223
Assistant Professor
ID: 210224
Lecturer
ID: 210225
Lecturer
ID: 210226
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Google Scholar:Dr. Md. Bokhtiar Hasan is an Associate Professor in the Department of Economics & Finance at the University of Nizwa, Oman, as well as a Professor (Full) in the Department of Finance & Banking at the Islamic University, Bangladesh (Leave). He is also a Research Fellow (Honorary) at the Institute of Business Research, University of Economics Ho Chi Minh City, Ho Chi Minh City, Vietnam. His career began in banking at Al-Arafah Islami Bank in 2009, followed by research roles at the Dhaka Stock Exchange in 2010, where he later became a senior executive. Before joining the Islamic University, he held a senior executive position in Research at the Dhaka Stock Exchange. He was also an adjunct faculty member at the Department of Business Administration, BAUET, Bangladesh. He has led and collaborated on research projects funded by institutions including the Asian Development Bank, SAMA (Saudi Arabia), Abu Dhabi University, Bank Indonesia, Fulbright University Viet Nam, North-South University, University Grant Commission (UGC), etc. Mr. Hasan teaches undergraduate and postgraduate courses covering Business Finance, Corporate Finance, Financial Management, Capital Budgeting, Financial Derivatives, Security Analysis and Portfolio Management, Financial Institutions and Markets, and Econometrics. His research interests are Ethical Finance, Financial Economics, Energy Economics, Commodity Markets, Fiscal Policy, Climate Finance, Climate and Economic Resilience, Safe Haven, and Financial Crisis. He has published over 39 papers in top-tier finance and economics journals (indexed by ABDC, ABS, Scopus, or SSCI): Energy Economics (ABDC-A*, ABS-3*, Q1), International Journal of Money and Finance (ABDC-A, ABS-3*, Q1), Economics Letters (ABDC-A, ABS-3*, Q1), Annals of Operations Research (ABDC-A, ABS-3*, Q1), International Review of Economics & Finance (ABDC-A, ABS-2*, Q1), Finance Research Letters (ABDC-A, ABS-2*, Q1), Pacific Basin Finance Journal (ABDC-A, ABS-2*, Q1), Global Finance Journal (ABDC-A, ABS-2*, Q1), etc. Several papers are under review in top finance and economics journals. Mr. Hasan has reviewed many papers for top-tier finance journals like Energy Economics, International Review of Financial Analysis, International Review of Economics & Finance, Pacific-Basin Finance Journal, & International Journal of Finance and Economics, etc. Besides, Mr. Hasan presented several papers at over 18 international conferences. He is also a regular columnist and mainly writes about economic and stock market issues.
Research interest:Ethical Finance, Sustainable Finance, Financial Economics, Energy Economics, Commodity Markets, Cryptocurrency, Safe Haven, Uncertainty, and Financial Crisis.
ResearchGate:https://www.researchgate.net/profile/Md-Hasan-122
Google Scholar:https://scholar.google.com/citations?user=H7bVytsAAAAJ&hl=en
Professor Dr. Sutap Kumar Ghosh is a senior faculty member in the Department of Finance and Banking at Islamic University, Kushtia, Bangladesh. With over fifteen years of academic, research, and administrative experience, he has established himself as a prominent scholar in the fields of behavioral finance, investor psychology, financial regulation, corporate governance, and emerging capital markets. Professor Ghosh earned his PhD in Finance and Banking from Islamic University, where his doctoral research examined investors’ behavior in the Dhaka Stock Exchange. His scholarly contributions span a wide range of financial and socio-economic dimensions, focusing particularly on investor decision-making in developing and emerging markets. He has published extensively in internationally indexed and peer-reviewed journals, including several Scopus Q1, Q3, Q4, and ESCI – Web of Science publications. His research addresses critical issues such as market uncertainty, trading practices, financial disclosure, green banking, and risk tolerance. Professor Ghosh has also contributed book chapters to international conference volumes and has been recognized with a Best Paper Award for his work on cognitive biases and investment intentions. In addition to his research accomplishments, Professor Ghosh has played a significant role in academic leadership. He served as Chairman of the Department of Finance and Banking (2017–2020), during which he oversaw academic programs, faculty development, curriculum reform, and student research supervision. He has also contributed to various university committees and coordinated postgraduate and professional programs, including the Evening MBA Program. Professor Ghosh is an active supervisor and mentor, guiding BBA, MBA, MPhil, and PhD students in diverse research areas. His UGC-funded research project on the role of overconfidence in students’ decision-making reflects his interest in interdisciplinary approaches and behavioral studies. He is frequently invited as a Keynote Speaker, Resource Person, and Plenary Session Participant at international academic events in India and beyond. His engagements reflect his commitment to knowledge dissemination, policy-oriented research, and international academic collaboration. Professor Ghosh possesses strong technical proficiency in R, EViews, SPSS, Stata, MS Excel, quantitative analysis, and econometric modeling, supporting his ongoing contributions to empirical financial research. Through his academic leadership, research excellence, and commitment to institutional development, Professor Dr. Sutap Kumar Ghosh continues to play a vital role in advancing financial research and higher education in Bangladesh.
Research interest:Behavioral Finance, Investor Psychology, Emerging Capital Markets, Banking Regulation, Corporate Governance, Green Banking.
ResearchGate:researchgate.net/profile/Sutap-Ghosh ResearchGate+1
Google Scholar:scholar.google.com/citations?user=vP-H-ZYAAAAJ&hl=en
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Google Scholar:0
Google Scholar:Capital Market, Trade Specialization, Bibliometrix Analysis, Macroeconomic Variables etc.
ResearchGate:0
Google Scholar:https://scholar.google.com/citations?hl=en&user=keLcTKQAAAAJ
This study focuses on the trade specialization of significant products in Bangladesh’s trade basket from 2008 to 2021 in forming SAFTA under SAARC (South Asian Association for Regional Cooperation). The study utilized the Lafay Index to identify trade specialization; the prime products of Bangladesh are determined based on the continuous presence of any specific product within the list of top 10 products of Bangladesh each year during the study period. The study concluded that four of the five significant products are from the Garments sector, and the remaining one is from the Vegetable Oil sector. The significant products identified exhibited a relatively high degree of trade specialization in the context of SAARC and faced stiff competition from its neighbouring country, India. The post hoc Games-Howell test also revealed that most of the differences are statistically significant for all the major products. Based on the findings, this paper also offered the policy prescription for SAFTA. This research looks at the dynamics of specialisation and trade performance in Bangladesh in comparison to other SAARC countries. It helps shed light on the trading dynamics inside one of the most populous and economically varied areas of the world by centring on the local setting.
2025-12-02 Click HereThe primary objective of this investigation is to assess the performance of the benchmark indices in the stock markets of Bangladesh, India, and Pakistan, denoted by DSEX (Dhaka Stock Exchange Broad Index), Nifty-50 (National Stock Exchange Fifty), and KSE-100 (Karachi Stock Exchange 100 Index), respectively. Data is meticulously gathered across distinct periods, namely the pre-COVID, the COVID-19, and the concurrent COVID-19 era along with the Russia-Ukraine War period, and amid the consequent global ongoing financial crises. The study encompasses information spanning from July 2, 2013 to May 9, 2023, employing descriptive statistics, where both mean returns and risk-adjusted returns were calculated consecutively. The evaluation of diversification among the indices during the specified periods is conducted through descriptive statistics and Ordinary Least Squares (OLS) estimation. The findings of this study indicate that all the indices exhibited negative mean returns during the COVID-19 phase. Furthermore, both mean returns and risk-adjusted returns of the indices witnessed substantial increments amid the inflationary environment concurrent with the COVID-19 and Russia-Ukraine War periods. OLS estimation results suggest an absence of a discernible diversification relationship among the indices. In summary, our results underscore the dynamic nature of index prices across diverse temporal and global crisis scenarios. These implications offer valuable insights for investors and stockholders, enabling them to discern hedging opportunities and identify diversifiable indices within the global stock markets across disparate periods and crises.
Md. Feroz Khan is currently serving as an Assistant Professor in the Department of Finance and Banking at Islamic University, Kushtia-7003, Bangladesh. He obtained both his Bachelor of Business Administration (BBA) and Master of Business Administration (MBA) degrees in Finance and Banking from the same university. In recognition of his outstanding academic performance at the undergraduate level, he secured first position in his faculty (Faculty First) and was nominated for the prestigious Prime Minister Gold Medal Award 2019. He also completed a three-month internship at the Dhaka Stock Exchange (DSE), which provided him with practical exposure to capital market operations. Mr. Khan began his academic career as a Lecturer in the Department of Finance and Banking at Islamic University on 31 October 2022.
Research interest:Financial Risk Management, Bankruptcy Predictions, Non-performing Loan (NPL), Capital Market
ResearchGate:0
Google Scholar:https://scholar.google.com/citations?hl=en&user=KLbC6G0AAAAJ
The purpose of this study is to scrutinize the extent of forward-looking (FL) disclosures and explore the impact of corporate governance (CG) on FL disclosures in integrated reporting (IR) in the context of the banking industry in Bangladesh.
Twenty-two listed banks in the Dhaka Stock Exchange (DSE) are selected as a sample from 2018 to 2022. For content analysis purposes, the study has developed an unweighted self-constructed disclosure index with 58 items and extracted data manually from the integrated annual report. Furthermore, descriptive statistics is conducted to analyze the extent of FL disclosures, and a pooled ordinary least squares regression model is used to examine the impact of CG (directors’ ownership, institutional ownership, foreign ownership, board of directors, independent directors, female directors and audit quality) on the FL disclosures.
This study reveals that the banking industry’s average FL disclosure score is only approximately 43%, indicating a meager degree of disclosures in Bangladesh’s well-structured sector. This study also finds that directors’ ownership, foreign ownership, female directors and audit quality have a statistically significant and positive relationship with FL disclosures at a 5% significance level. By contrast, institutional directors and the board of directors have a substantial but negative impact on FL disclosures. However, the other exponential variable, independent directors, has no impact on FL disclosures.
This study has some limitations, such as: i) the sample size is restricted to 22 banks, whereas nearly 36 banks are listed in the DSE. The sample size should be increased for better results. ii) The study only considers the banking sector with a small sample, but other sectors have been omitted from the sample. iii) The data have been extracted from the annual report, but other relevant sources such as banks’ websites, prospectuses, press releases, and media releases are not considered. iv) Finally, the self-constructed unweighted disclosure index is affected by subjective judgment. For depth analysis, a weighted method for content analysis purposes will be applicable.
Since there is no specific guideline for FL disclosures, this study suggests that the practical implication is for the regulatory body and policymakers to take the initiative to design a framework for FL disclosures that will improve disclosure quality. Second, they can investigate the independent director’s role in the banking sector to discover the existence of old-boy network problems.
This study examines the determinants of non-performing loans (NPLs) among macroeconomic and bank-specific factors for the Islamic and conventional banking sectors in Bangladesh. We implement a dynamic panel data model with a two-stage system GMM for the period 2010-2021. Among the bank-specific factors, this study finds that return on assets, return on equity, bank size, and inefficiency help to reduce NPLs. In contrast, gross loan growth, leverage, and capital adequacy ratios contribute to increasing NPLs. Among macroeconomic determinants, inflation, and GDP growth have a significant negative impact on NPLs. Moreover, unemployment and exchange rates are also found to be significant determinants of NPLs. At the bank level, growth in gross loans reduces NPLs in Islamic banks, while the opposite is true for conventional banks. Our findings have significant implications for depositors and regulators in making appropriate decisions.
2023-10-07 Click HereThis is Fahad Hossain and I am a Lecturer in the Department of Finance and Banking at Islamic University, Kushtia, Bangladesh. It is a great honor and pleasure for me to introduce myself to you. I completed my academic journey in this very department, and by the grace of Almighty Allah, I now have the opportunity to serve my own department as a teacher. It is truly a matter of pride and happiness for me. As a teacher, my goal is not only to teach you academic lessons but also to help you develop critical thinking, leadership skills, confidence, and ethical values. I believe that education is not merely about obtaining certificates; it is about acquiring knowledge, developing character, and preparing ourselves to face the challenges of the real world. I consider teaching a noble profession and a great responsibility. I want to build a friendly learning environment where you can freely express your opinions, ask questions, share ideas, and learn from one another. I hope that our journey together will be meaningful, enjoyable, and inspiring. Let us work together to make our department a place of excellence, innovation, and success. Finally, I wish you all the very best for your university life. Remember, your university years are not just about earning a degree; they are about discovering who you are and who you want to become. Thank you all for your attention. May Almighty Allah bless us all.
Research interest:Finance, Banking and economic Sector
ResearchGate:0
Google Scholar:https://scholar.google.com/citations?hl=en&authuser=1&user=mfPCdFwAAAAJ
This research examines how macroeconomic variables affect multinational firms’ performance in Bangladesh. A secondary panel dataset comprising with firms’ performance data from three randomly chosen DSE- Dhaka Stock Exchange- and CSE- Chittagong Stock Exchange- listed multinational companies ranging from 2013 to 2022 has been employed for the purpose. For financial performance measurement, return on assets (ROA), return on equity (ROE), and earnings per share (EPS) are used. Explanatory macroeconomic variables include inflation, terms of trade, balance of payment, governmental debt, political stability, and interest rate. An empirical fixed effect panel regression suggests that the specified explanatory variables can explain changes in the dependent variables. Inflation, terms of trade, balance of payment, and public debt affect ROA. The only factor affecting ROE is governmental debt. EPS is affected by interest rates. Regression fitness tests
support the models’ reliability.
Bringing the nonbanking people into the banking platform is termed as financial inclusion which could be a key driver to accelerate the economic growth of an economy. This study aims to establish whether MFS contribute in financial inclusion which further contribute in the economic growth of Bangladesh. After establishing significant contributions of MFSs to financial inclusion using t-tests’ results, the short and long run contribution of financial inclusion on economic growth of Bangladesh has been assessed. Secondary monthly data ranging from December 2019 to January 2024 (50 observations) has been utilized using ARDL model. Foreign direct investment (FDI) has been used as proxy measures of economic growth. Eleven (11) independent variables representing financial inclusion include number of total registered clients (NORC), number of total transactions (NOTT), total transactions (TT), inward remittance (INREM), cash in transactions (CIT), cash out transactions (COT), personal to personal (P2P), business to personal (B2P), personal to business (P2B), merchant payment (MP), and government payment (GP). Results from ARDL short-run association, and long-run association state that financial inclusion is crucial to Bangladesh’s economic growth.
2026-01-06 Click HereThe purpose of this study is to investigate how the performance of Bangladesh’s textile industry is influenced by the movement of foreign exchange rate and interest rate. To that end, annual data of listed textile firms from Dhaka Stock Exchange (DSE) covering the years between 2013 and 2022 (total 10 annual observations) have been used. Real interest rate (RealInt) and real effective exchange rate (REER) have been employed as explanatory variables, and Operating Cash Flow (OCF) has been used as a proxy parameter for financial performance. Empirical findings from the ARDL model and ARDL bounds test have revealed that RealInt has significant positive coefficients in both the short run and the long-run On the other hand, REER at level data has been found to have an insignificant negative coefficient in both the short run and the long run. Again, REER at one period lag data has been found to have a positive but insignificant coefficient in the short run. Further, the Wald test revealed that RealInt and REER jointly influence the movement of OCF. The error correction model (ECM) states that the speed of correcting previous dynamic disequilibrium is way faster. The hypothesis that the explained and explanatory variables have a causal relationship is rejected by the pairwise Granger causality test for this study.
2025-01-23 Click Here