Hadi Movaghari - Finance - Best Researcher Award
University of Glasgow - United Kingdom
AUTHOR PROFILE
👨🏫 PROFESSIONAL SERVICES AND COMMITTEE MEMBERSHIP
Hadi Movaghari is an active contributor to the academic community through his involvement in several professional services. He serves as a committee member at the University of Glasgow, including being part of the Internal Peer Review College and participating as a panel member for the Annual Progress Review for PhD students. His commitment extends beyond his university, where he contributed as a student committee member at the 49th AIB-UKI 2023 Conference.
📄 JOURNAL REVIEWER
Hadi has built a strong reputation as a journal reviewer for leading academic publications. He has reviewed papers for high-impact journals such as the International Journal of Finance & Economics, Economic Modelling, Accounting & Finance, and Finance Research Letters. His expertise is often sought after due to his thorough understanding of financial economics and corporate finance.
💼 DISCUSSANT AT INTERNATIONAL CONFERENCES
Hadi has been a discussant at major international conferences, including the 2024 Finance and Business Analytics Conference in Athens and the 2023 Economics of Financial Technology Conference at the University of Edinburgh. His contributions in these forums have provided critical insights into the latest trends and research in financial technology and business analytics.
📚 ACADEMIC PUBLICATIONS
Hadi’s research contributions are vast and impactful. His most recent work, "Cyber Risk, ChatGPT, and Firm Value," is set to appear in Risk Analysis. Other notable publications include articles in The Quarterly Review of Economics and Finance and International Journal of Finance & Economics, where he explored topics like corporate cash policy, machine learning applications in finance, and money demand functions.
📊 RESEARCH IN FINANCIAL ECONOMICS AND MACHINE LEARNING
A central focus of Hadi’s research lies at the intersection of financial economics and machine learning. His work on corporate cash policy using double machine learning and his research on the stability of money demand have pushed the boundaries of how advanced algorithms can be applied to traditional economic theories. His findings have been published in high-ranking journals like European Financial Management and International Economics.
🎤 CONFERENCE PRESENTATIONS
Hadi has presented his research at numerous prestigious conferences around the globe. In 2024, he showcased "The M&As Factor Zoo" at the Finance and Business Analytics Conference in Athens. His work on corporate cash policy using machine learning has also been featured at the Economics of Financial Technology Conference and the FMA’s European Conference.
📈 EXPERT IN CORPORATE FINANCE AND CASH HOLDINGS
Hadi’s work has had a significant impact on understanding corporate finance, particularly in the areas of cash holdings, capital structure, and dividend policies. His extensive research on these topics has led to the development of new methods and approaches, such as robust variable selection techniques, which have become vital in the analysis of corporate financial strategies in emerging markets.
NOTABLE PUBLICATION
Heterogeneous impact of cost of carry on corporate money demand
Authors: Movaghari, H., Sermpinis, G.
Journal: European Financial Management
Year: 2024 (In Press)
Determinants of corporate cash holdings: An application of a robust variable selection technique
Authors: Elyasiani, E., Movaghari, H.
Journal: International Review of Economics and Finance
Year: 2022
Reliable factors of Capital structure: Stability selection approach
Authors: Sohrabi, N., Movaghari, H.
Journal: Quarterly Review of Economics and Finance
Year: 2020
Determinants of dividend payout and dividend propensity in an emerging market, Iran: an application of the LASSO
Authors: Elyasiani, E., Jia, J., Movaghari, H.
Journal: Applied Economics
Year: 2019