top of page

David Siang-Li Jheng

Bucharest University of Economic Studies (ASE)

About

David Siang-Li Jheng is a PhD candidate at the Doctoral School of Cybernetics and Economic Statistics, Bucharest University of Economic Studies, Romania. His research focuses on detecting anomalies and modeling dependence structures in high-dimensional, high-frequency financial data. 


With a background in financial engineering and mathematics from National Yang Ming Chiao Tung University (NYCU) and National Taiwan Normal University (NTNU), he investigates systemic risks through advanced methodologies such as Financial Risk Meters and anomaly detection models.

Key Achievements and Outputs

Research Interests

Finance graduates_edited.jpg

High-frequency data analysis, anomaly detection, tail risk and dependence modeling, machine learning in finance, FinTech innovation, option pricing

unnamed.png

Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or Horizon Europe: Marie Skłodowska-Curie Actions. Neither the European Union nor the granting authority can be held responsible for them. This project has received funding from the Horizon Europe research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 101119635

Follow us

  • Wikipedia
  • LinkedIn
logo-nobackground-500.png
FinAI_COST.png

© 2023-2024

bottom of page