Dr. Bingqi Liu - Quantile regression inference on finance models - Best Scholar Award

Zhejiang University - China

Professional Profile

Early Academic Pursuits

Bingqi Liu's academic journey began at Shandong University, where he first enrolled in the School of Pharmacy, achieving a GPA of 4.4/5.0 and ranking in the top 10% of his major during the 2015-2016 academic year. His passion for mathematics led him to switch majors, and he pursued a Bachelor of Science in Statistics at Shandong University's School of Mathematics from 2016 to 2020. He graduated with a GPA of 4.3/5.0, placing him in the top 15% of his class. Currently, he is a Ph.D. candidate at the School of Mathematical Sciences at Zhejiang University, specializing in Statistics, with an expected completion date of June 2025.

Professional Endeavors

Bingqi Liu has gained valuable professional experience through internships in the financial sector. He served as a daily intern in the Consumer Electronics Industry Research department at Hua Chuang Securities from September to December 2023, where he contributed to industry analysis, data collection, and the writing of an industry research report. In the summer of 2021, he was a product designer intern in the Financial Derivatives Department at Cai Tong Securities, assisting with the design and presentation of OTC derivatives products and establishing a product profile database.

Contributions and Research Focus

Bingqi Liu has made significant contributions to various fields through his research. His work spans medicine, finance, and statistics. In medicine, he co-authored a paper on reconstructing cell pseudo-space from single-cell RNA sequencing data, published in the prestigious journal Nature Communications. In finance, he developed estimation techniques for generalized linear cointegration regression models, published in Finance Research Letters. His research in statistics focuses on weighted composite quantile inference for nearly nonstationary autoregressive models, Quantile regression inference on finance models currently under major revision for publication in Statistical Methods & Applications. These diverse research endeavors highlight his interdisciplinary approach and expertise in applying statistical methods to solve complex problems.

Accolades and Recognition

Throughout his academic and professional career, Bingqi Liu has received numerous awards and honors. At Zhejiang University, he was awarded the Honor for Graduate. He earned first prize in the China Undergraduate Mathematical Contest in Modeling and third prize in the Chinese Mathematics Competitions. At Shandong University, he received multiple first-class and second-class outstanding student scholarships, Quantile regression inference on finance models first prize in the Mathematical Modeling Contest, and was recognized as an Outstanding Individual in Student Association Activities. These accolades reflect his academic excellence and active engagement in scholarly competitions and student activities.

Impact and Influence

Bingqi Liu's impact extends beyond his academic achievements. As the person in charge of the Honors Venture Capital at Zhejiang University's Future Entrepreneur Club, he organized the 1st Global Youth Innovation and Entrepreneurship Forum on Sustainable Development and the 20th Anniversary of the club. He played a pivotal role in managing the club's mini-program and establishing a platform for entrepreneurial education and practice. His involvement in various social and cultural organizations, such as the ZJU Huafa College Student Tea Art Team and the Graduate Art Troupe, further highlights his dedication to fostering community and cultural engagement.

Legacy and Future Contributions

Looking forward, Bingqi Liu's legacy is poised to inspire future advancements in the fields of statistics, finance, and interdisciplinary research. His ongoing participation in the 21st ZJU “Qiangying Program” and his role as a co-founder of “Weilian” underscore his commitment to leadership and innovation. His diverse research projects and professional experiences equip him with a unique perspective that bridges theoretical and practical applications. As he continues his academic journey and professional endeavors, Bingqi Liu is expected to make significant contributions to quantitative research, corporate governance, Quantile regression inference on finance models and strategic decision-making, leaving a lasting impact on both academia and industry.