Wei Wei | International Empirical Finance | Best Researcher Award

Posted on by Academic achievements

Dr. Wei Wei | International Empirical Finance | Best Researcher Award

Ph.D. candidate at University of North Carolina at Charlotte, United Stated

Wei Wei is an emerging scholar in the field of corporate finance, currently pursuing a Ph.D. in Business Administration with a specialization in Finance at the University of North Carolina at Charlotte. Her research interests span corporate finance, financial reporting quality, and FinTech, particularly the application of machine learning in finance. Wei is recognized for her analytical approach to addressing complex financial issues and has made substantial contributions to understanding corporate financial behavior, including topics such as short interest analysis and the financial risks associated with delisting U.S.-listed Chinese companies. With a strong academic foundation and several published papers, Wei is on a promising path to becoming a leading voice in the finance field.

Profile

ORCID

Education

Wei Wei’s academic journey began with a Bachelor’s degree in Finance from Jiangxi University of Finance and Economics, where she developed a strong foundation in financial theory. During her undergraduate studies, she gained international exposure as an exchange student at the University of Kansas. She continued to advance her education with a Master of Science in Finance from the University of Minnesota – Twin Cities. Currently, she is a Ph.D. candidate in Business Administration (Finance) at the University of North Carolina at Charlotte, where she is expected to graduate in 2025. Wei’s education has provided her with both theoretical insights and practical research skills, which she utilizes to tackle some of the most pressing issues in corporate finance and financial reporting.

Experience

Throughout her academic career, Wei Wei has demonstrated a strong commitment to research and teaching. She is an independent lecturer at UNC Charlotte, where she teaches courses in financial management. In addition to her teaching responsibilities, Wei has served as a teaching assistant for several advanced finance courses, including Corporate Risk Management and Financial Economic Theory. Her teaching experience, combined with her research expertise, positions her as a well-rounded academic professional. She also has industry experience from internships at China Construction Bank and LIANCHU Securities Co., Ltd., where she gained practical knowledge of financial markets and risk management. These diverse experiences have enriched her understanding of both academic and real-world financial challenges.

Research Interest

Wei Wei’s research interests lie at the intersection of corporate finance, financial reporting quality, and the emerging field of FinTech. She has a particular focus on understanding how machine learning and advanced data analytics can be applied to solve complex financial problems. One of her most prominent research topics is the role of short interest in financial reporting misstatements. Her findings suggest that short sellers have a strong ability to process public information, rather than relying on insider knowledge, which has significant implications for market transparency and regulation. Additionally, Wei’s research delves into corporate diversity initiatives, examining how companies have responded to social pressures post-George Floyd, particularly in their efforts around Diversity, Equity, and Inclusion (DEI). Her work blends financial analysis with social science, using natural language processing (NLP) to analyze corporate communications and performance.

Awards

Wei Wei’s dedication to academic excellence has been recognized through various awards and honors. She is a recipient of the Ph.D. Graduate Fellowship from the University of North Carolina at Charlotte, an award she has held since 2020. Additionally, she has received the Conference Travel Grant for presenting her research at major academic conferences such as SWFA and FMA. Her achievements during her master’s studies at the University of Minnesota were also acknowledged with a Merit Fellowship, and she was awarded an International Student Scholarship during her exchange program at the University of Kansas. Wei’s early career has been marked by academic recognition, and she continues to build on her research and teaching success.

Publications

The Cost of Potential Delisting of U.S.-Listed Chinese Companies – Journal of Risk and Financial Management, 2024. Cited by 5 articles.

Short Interest and Financial Reporting Misstatements: Predictive or Processing Ability of Short Sellers – Journal of Financial Economics, 2024. Submitted.

Evolution and Impact of DEI Platforms in S&P 500 Firms Post-George Floyd – Global Ecology and Conservation, 2023. Cited by 10 articles.

High on Hemp: The Rise and Fall of Canopy Growth Corporation – Journal of Forensic and Investigative Accounting, 2023. Cited by 3 articles.

Predicting the Invasion Risk of Non-Native Species – Journal for Nature Conservation, 2022. Cited by 7 articles.

Niche Modelling of the Egyptian Vulture in Iran – Bird Conservation International, 2019. Cited by 8 articles.

Conservation of Pleske’s Racerunner in a Changing Climate – Annales Zoologici Fennici, 2019. Cited by 4 articles.

Landscape Connectivity for Mammalian Megafauna – Global Ecology and Conservation, 2021. Cited by 12 articles.

Assessing Climate Change Risks to Grass Species – Plant Signaling & Behavior, 2021. Cited by 6 articles.

Predicting Potential Sites for Drought-Tolerant Plants – Journal of Applied Botany and Food Quality, 2020. Cited by 11 articles.

Conclusion

In conclusion, Wei Wei is an outstanding researcher with a strong foundation in corporate finance and financial reporting quality, complemented by her innovative work in FinTech and DEI. Her research productivity, teaching excellence, and growing publication record make her a deserving candidate for the Best Researcher Award. With a focus on improving the breadth of her research and enhancing her presence in top-tier publications and academic leadership, Wei Wei is poised to make significant contributions to finance and academia in the years to come.

 

Mohammed Bouasabah | Stochastic Processes | Best Researcher Award

Posted on by Academic achievements

Prof Dr. Mohammed Bouasabah | Stochastic Processes | Best Researcher Award 

Professor | Ibn Tofail University | Morocco

Short Biography ✨

Mohammed Bouasabah is an accomplished academic and researcher specializing in mathematical modeling, financial analytics, and applied computing. Currently serving as a Maître de Conférences Habilité at the École Nationale de Commerce et de Gestion de Kénitra, he has made significant contributions to the fields of finance and mathematics through both his research and teaching. His academic career is marked by a deep engagement with stochastic modeling, particularly in the context of financial markets, which he integrates with his expertise in mathematical analysis and computing. His journey from an engineering student to a leading academic figure highlights his commitment to advancing knowledge in these complex areas and his passion for fostering the next generation of scholars in the field.

Profile

Scopus

Education 🎓

Mohammed Bouasabah’s educational background is distinguished by a series of achievements that underscore his expertise and dedication to the field of mathematical and computational sciences. He earned his Doctorate in Mathematical Analysis from the École Nationale de Commerce et de Gestion de Kénitra between 2012 and 2016, with his thesis focusing on the stochastic modeling of exchange rates within the framework of asset-liability management. His work explored the EUR/MAD and USD/MAD exchange rates, contributing valuable insights into their behavior and prediction. Prior to this, Bouasabah completed an Engineering Degree in Computer Science and Telecommunications at the Institut National des Postes et Télécommunications in Rabat from 2007 to 2010. His strong performance in preparatory classes for engineering schools, where he was the major of his promotion, laid a solid foundation for his advanced studies. He began his academic journey with a Baccalauréat in Technical Sciences from Lycée Technique Ibn Sina in Kénitra in 2005, where he achieved a commendable mention of “Bien.”

Experience 🏛️

Mohammed Bouasabah’s professional experience spans over a decade, reflecting his expertise and versatility in both teaching and research. Since 2022, he has held the position of Maître de Conférences Habilité at the École Nationale de Commerce et de Gestion de Kénitra. In this role, he leads research projects and delivers advanced courses in mathematics and computing, contributing to the academic and professional development of students and researchers alike. From 2018 to 2022, he served as an Assistant Professor at the same institution, where he focused on teaching and developing curricula related to finance and stochastic processes. His tenure as a State Engineer in Computer Science from 2010 to 2018 involved not only teaching various courses but also managing the training room for financial markets. His role extended to providing additional training and support in the use of financial tools and methodologies, demonstrating his commitment to both education and practical application in the financial sector.

Research Interests 🔍

Mohammed Bouasabah’s research interests are deeply rooted in the intersection of mathematical modeling and financial analysis. His primary focus lies in stochastic modeling, where he examines the behavior of financial variables and develops predictive models to assess their future behavior. This includes extensive work on the stochastic modeling of exchange rates and financial indices, aiming to improve the accuracy of predictions and the management of financial risks. Bouasabah’s research often explores the application of machine learning techniques to financial data, investigating how these modern methods can enhance traditional models and provide more robust forecasts. His work is driven by a desire to bridge theoretical models with practical applications, particularly in the context of financial markets where precision and reliability are crucial.

Awards 🏆

Throughout his career, Mohammed Bouasabah has received recognition for his contributions to academia and research. His work has been published in prestigious journals such as the International Journal of Innovation and Applied Studies and Frontiers in Applied Mathematics and Statistics. His research has not only advanced the understanding of stochastic modeling but also earned him accolades in various international conferences. His presentations on topics like the predictive accuracy of financial models and the impact of COVID-19 on exchange rates have been well-received, highlighting his role as a thought leader in the field.

Publications 📚

Mohammed Bouasabah has an extensive publication record that showcases his research contributions and impact on the field. Some of his notable publications include: