Nuno Moutinho | Economics, Econometrics and Finance | Editorial Board Member

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Prof. Dr. Nuno Moutinho | Economics, Econometrics and Finance | Editorial Board Member

Polytechnic Institute of Bragança | Portugal

Prof. Dr. Nuno Moutinho is an accomplished researcher specializing in Finance, Corporate Governance, Financial Markets, and Applied Economics, with strong expertise in event-study methodologies. His work provides valuable evidence on how financial markets respond to major global shocks, including cyber-attacks, corporate misconduct, IT outages, political events such as U.S. presidential elections, and corporate crises like the Evergrande collapse. He also conducts significant research on syndicated loan spreads, examining how borrower-country governance structures and financial system characteristics influence international lending dynamics. Prof. Dr. Nuno Moutinho’s research is published in high-impact, ABS-ranked and Scopus/WoS-indexed journals, including Finance Research Letters, International Review of Economics & Finance, Quarterly Review of Economics and Finance, Journal of Banking Regulation, Tourism Economics, and Corporate Governance. His contributions demonstrate strong interdisciplinary reach across sectors such as aviation, hospitality, insurance, biotechnology, fossil fuel, and renewable energy. With 25 Scopus-indexed publications, 31 citations, and an h-index of 3, Prof. Dr. Nuno Moutinho has established a solid scholarly footprint supported by international collaborations and frequent conference contributions. He has also authored books in finance and serves as a reviewer for respected journals, reinforcing his role in advancing empirical financial research and market-based governance insights.

Profiles: Scopus | Google Scholar | ORCID

Featured Publications

Martins, A. M., Albuquerque, B., Sardinha, L., & Moutinho, N. (2025). Impact of elections on the cannabis market: An event study for the 2024 US presidential election. International Review of Economics & Finance, Article 104683.

Martins, A. M., Moutinho, N., & Cró, S. (2025). Stock market effects of major cyber-attacks: Evidence for breached and cybersecurity listed firms. Journal of Banking Regulation, 1–10.

Martins, A. M., Albuquerque, B., Sardinha, L., & Moutinho, N. (2025). Presidential elections and secretary appointment: An event study for US biotechnology and drugs. Finance Research Letters, Article 108125.

Martins, A. M., Albuquerque, B., Sardinha, L., & Moutinho, N. (2025). 2024 US presidential elections: An event study for US and non-US fossil fuel and renewable listed firms. International Review of Financial Analysis, Article 104430.

Albuquerque, B., Cró, S., Moutinho, N., & Martins, A. M. (2025). Stock market effects of CrowdStrike IT outage on largest listed hotel companies. Tourism Economics, Article 13548166251321212.

Divyanee Garg | Economics, Econometrics and Finance | Best Researcher Award

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Ms. Divyanee Garg | Economics, Econometrics and Finance | Best Researcher Award

Indian Institute of Technology, Delhi | India

Ms. Divyanee Garg is a mathematician specializing in Portfolio Optimization, Behavioural Finance, Robust Portfolio Optimization, and Data-Driven Financial Techniques. Her research focuses on developing innovative mathematical and computational frameworks for decision-making under uncertainty, combining advanced risk measures such as Expectile Value at Risk (EVaR) and Conditional Value at Risk (CVaR) with behavioral finance models. She has contributed significant work on robust portfolio optimization using deep neural networks, integrating data-driven approaches to enhance traditional financial modeling. Ms. Divyanee Garg has published in high-impact journals, including Computational and Applied Mathematics and Omega, addressing deviation measures, robust allocation strategies, and cumulative prospect theory-based indexing, reflecting her strong influence in the field. She has presented her research at international conferences, including the 34th European Conference on Operational Research (EURO 2025, UK) and the ORSI Annual Convention 2024 (IIT Bombay), as well as symposia at IIT Roorkee and ISI Delhi, demonstrating active engagement with the global research community. Her notable projects include the development of optimality and duality conditions for semi-infinite programming problems and numerical improvements to Gauss-Chebyshev quadrature rules, both highlighting her analytical rigor and methodological innovation. Recognized for her academic excellence, she is a recipient of the Prime Minister’s Research Fellowship (PMRF) and the INSPIRE Scholarship from the DST, India. Ms. Divyanee Garg actively contributes to workshops and summer schools on large-scale optimization and machine learning applications in finance, combining theoretical depth with practical relevance. Her research exemplifies the integration of mathematical rigor, computational innovation, and applied financial insight, positioning her as a leading young researcher in quantitative finance and optimization.

Profiles: Google Scholar | ORCID | ResearchGate | LinkedIn | Staff Profile

Featured Publications

Sayed Mohibul Hossen | Economics, Econometrics and Finance | Best Researcher Award

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Prof. Dr. Sayed Mohibul Hossen | Economics, Econometrics and Finance | Best Researcher Award

Mawlana Bhashani Science and Technology University | Bangladesh

Dr. Sayed Mohibul Hossen, Professor of Statistics at Mawlana Bhashani Science and Technology University (MBSTU), Tangail, Bangladesh, is a distinguished scholar whose work bridges theoretical econometrics and applied statistical forecasting for climate, tourism, and economic sustainability. Holding a Ph.D. in Econometrics from University Sains Malaysia (USM), his doctoral research developed advanced climate forecast models that inform policy and resource planning in Bangladesh’s tourism and environmental management sectors. Over the past decade, Dr. Sayed Mohibul Hossen has published six indexed research papers in internationally recognized journals, including GeoJournal of Tourism and Geosites, Applied Fruit Science, and the Journal of Public Affairs. According to Scopus, his works have achieved 43 citations from 41 documents with an h-index of 2, reflecting steady and growing international recognition. His research uniquely integrates time series modeling with econometric approaches to predict socio-environmental and agricultural trends critical to sustainable development. Beyond his research excellence, Dr. Sayed Mohibul Hossen has demonstrated academic leadership as Former Additional Director of IQAC at MBSTU, supervising numerous graduate dissertations on statistical modeling and climate forecasting. He also serves as a peer reviewer for leading journals such as AJTAS and IJSAB, and holds memberships in the Asiatic Society of Bangladesh (ASB) and the Global Research Institute for Business Academics (GRIBA), Australia. Registered under ORCID, Dr. Sayed Mohibul Hossen’s scientific impact, editorial engagement, and commitment to academic excellence make him a deserving candidate for the Best Researcher Award, recognizing his innovative and sustainable contributions to the advancement of statistical and econometric sciences.

Profile: Scopus | Google Scholar | ORCID | ResearchGate | LinkedIn

Featured Publications

  1. Polas, M. R. H., Raju, V., Hossen, S. M., Karim, A. M., & Tabash, M. I. (2022). Customer’s revisit intention: Empirical evidence on Gen‐Z from Bangladesh towards halal restaurants. Journal of Public Affairs, 22(3), e2572. https://doi.org/10.1002/pa.2572

  2. Hossen, S. M., Hossain, M. T., Rana, M. M., & Ismail, M. T. (2019). Employees’ satisfaction of government organization in Tangail City, Bangladesh. International Business Research, 12(2), 15–20. https://doi.org/10.5539/ibr.v12n2p15

  3. Aktar, S., Islam, M., & Hossen, S. (2012). Human resource management practices and firms performance in Bangladesh: An empirical study on pharmaceutical industry. Asian Business Review, 1(1), 121–125.

  4. Hossen, S. M. (2012). Statistical analysis of current guava production and its prospect in Bangladesh. Asian Business Review, 1(1), 9–14.

  5. Hossen, S. M., Ismail, M. T., & Tabash, M. I. (2021). The impact of seasonality in temperature forecast on tourist arrivals in Bangladesh: An empirical evidence. GeoJournal of Tourism and Geosites, 34(1), 20–27. https://doi.org/10.30892/gtg.34103-634