Dr. Xuan Feng | Forecasting | Research Excellence Award
EDHEC Business School | Hungary
Xuan Feng is a finance researcher and practitioner specializing in asset pricing, fixed income, investment strategies, portfolio construction, ESG, and machine learning applications in finance. He is pursuing doctoral research in finance at EDHEC Business School, focusing on risk premia, yield curve dynamics, and advanced quantitative methods. His academic background spans finance, management, international business, and engineering mechanics, providing a strong interdisciplinary foundation. Xuan’s research includes innovative work on cross-currency carry strategies, correlation forecasting in yield curves using PCA-based models, and the integration of responsible AI in financial markets. His scholarly contributions have been published in leading international journals covering financial analysis, green finance, forecasting, and applied machine learning. Alongside research, he has extensive teaching experience in portfolio management, quantitative finance, statistics, financial econometrics, and data analysis at master’s and undergraduate levels across international institutions. Professionally, he works in model risk management at a global investment bank, applying quantitative rigor to real-world financial models. Xuan also brings entrepreneurial experience from founding ventures in online education and fashion. He holds multiple global professional certifications and is proficient in advanced programming, data science, and financial modeling tools, with fluency in Chinese, English, and French.
83
7
6
Citations
Documents
h-index
View Scopus Profile View Oricd Profile
Featured Publications
The impact of ESG performances on analyst report readability: Evidence from China
– International Review of Financial Analysis
Machine learning approaches to predicting energy price correlation: From a responsible AI perspective
– Technological Forecasting and Social Change
Predicting Corporate Financial Risk Using Artificial Bee Colony–Attention–Gated Recurrent Unit Model
– Journal of Organizational and End User Computing
Do US Government and Commercial Media Concern Similar Topics? A Text-mining (NLP) Approach
– BOHR International Journal of Computer Science
The Analysis of Two-Way E-Commerce Credit Evaluation Model Based on the C2C Mode
– Journal of Global Information Management