Mr. Fanyu Meng | Nonlinear Dependence | Best Researcher Award

ShanDong University, China.

Mr. Fanyu Meng, born in May 1998 in Jinan, Shandong Province, is a dedicated and emerging scholar in the field of quantitative economics and econometrics. A member of the Chinese Communist Party, he demonstrates a strong foundation in mathematics, statistics, and economic theory, combined with a growing research profile in econometric modeling and data science. He is currently pursuing his Ph.D. at Shandong University and is recognized for his intellectual rigor, methodological expertise, and academic excellence.

Professional Profile

Scopus

Education 🎓

Mr. Meng is currently enrolled in a direct-track doctoral program (Ph.D.) in Quantitative Economics at Shandong University (2022.09–2025.06). He previously completed his Master’s degree in Financial Mathematics and Financial Engineering at the same university from 2020 to 2022. His undergraduate studies were undertaken at Ocean University of China, where he earned a Bachelor of Science in Mathematics and Applied Mathematics from 2016 to 2020. This strong academic journey laid a robust foundation for his work in economic modeling and statistical analysis.

Experience 💼

Mr. Meng has actively participated in several high-level research projects. These include a national-level project on statistical theory and applications in multi-arm robotic game learning (2022–2024), funded by the National Bureau of Statistics. He also contributed to a fintech project on modern agricultural risk management (2020–2022), supported by the Jinan Municipal Science and Technology Bureau. Additionally, he was involved in the “Qingniao Plan” internship program with the Jinan Survey Team of the National Bureau of Statistics in 2020. These experiences have enriched his practical understanding of statistical theory and economic applications.

Research Interests 🔬

Mr. Meng’s research centers on econometric theory and applied econometrics, with a particular interest in time series analysis, panel data models, and structural change detection. He focuses on quantile-based methods, unobserved factor models, semiparametric techniques, and sparse estimation approaches. His work aims to uncover complex, nonlinear relationships within economic systems, contributing to both theoretical advancements and real-world policy modeling.

Awards 🏆

Throughout his academic career, Mr. Meng has received multiple honors. These include a Graduate Second-Class Scholarship and an Excellent Student Source Award during his doctoral studies. As an undergraduate, he was named a Shandong Province Outstanding Graduate, and was awarded several university-level scholarships such as the Shengwu Scholarship, Li Xiaoyong Scholarship, and honors for academic excellence and student leadership. His competitive achievements include prizes in the Shandong Mathematical Modeling Contest and the China Mathematical Modeling Competition.

Top Noted Publications 📚

Mr. Meng has authored peer-reviewed papers published in respected international journals. His article,

“Uncovering Nonlinear Dependencies in the Treasury-Funds Rate Spread: A Quantile-Based Explanation,”

appeared in Finance Research Letters (SSCI, Q1, 2025). Another co-authored paper on adaptive change point detection is set to be published in Communications in Statistics – Simulation and Computation (SCI, Q3, 2025). He is the corresponding author of a paper currently under external review, which applies Bootstrap entropy-weighted TOPSIS in the assessment of China’s provincial digital economy. He also has several ongoing working papers exploring advanced panel models, binary regression, and break estimation techniques.

Conclusion

Mr. Fanyu Meng represents a new generation of quantitatively skilled economists with a deep understanding of statistical modeling and data-driven economic analysis. His strong academic background, ongoing scholarly contributions, technical skills, and recognized potential make him a highly promising researcher. With continued publication and international collaboration, he is well-positioned to make significant contributions to the field of econometrics and quantitative economics.