معرفی
Jin Zhang is a Researcher in the Department of Quantitative Methods at the Faculty of Business and Economics, University of Basel. He holds a PhD in Computational Finance from the University of Essex, UK, awarded under the European Commission's Marie Curie Actions program, and has academic backgrounds in Engineering and Applied Statistics from institutions in China and Australia.
Education:
- Bachelor of Engineering, Beijing University of Posts and Telecommunications, China
- M.Sc. in Mathematics and Applied Statistics, University of Wollongong, Australia
- PhD in Computational Finance, University of Essex, UK (Marie Curie Actions grant recipient)
Jin Zhang's research lies at the intersection of computational methods and financial modeling. His work emphasizes trading strategy design, portfolio optimization, and derivative pricing using advanced numerical and computational techniques. He applies methods such as Laplace transforms, finite difference schemes, clustering algorithms, and copula modeling to solve complex financial problems. His interdisciplinary approach bridges applied mathematics, statistics, and finance.
The analysis of his publications reveals a consistent focus on enhancing financial decision-making through computational innovation. His work spans algorithmic option pricing, risk-aware portfolio construction, and the application of machine learning-inspired clustering in finance. A recurring theme is the use of numerical and heuristic optimization to improve accuracy and stability in financial models.
Scientific Awards and Honors:
- Marie Curie Actions Grant, European Commission
Jin Zhang has been actively involved in research projects supported by competitive funding, notably the EC’s Marie Curie program. While no formal advising roles are listed, his collaborations with researchers like Dietmar Maringer and Songping Zhu indicate active participation in academic research teams. His publications in journals such as Expert Systems with Applications and Applied Mathematics and Computation reflect strong technical contributions to quantitative finance.
Laboratories and Research Teams: Jin Zhang is affiliated with COMISEF (Computational Optimization and Modeling for Financial and Economic Applications), a European research network focused on training and knowledge transfer in computational finance. He contributes to working papers and collaborative research under this network, indicating engagement with an international academic community.
