Fei Liu

Assistant Professor in Finance

Contact

Email: fei.liu@ipag.fr

Phone: +33 1 40 79 64 40

Campus: Paris

Education

PhD in Mathematics
2014 – 2018, University of Liverpool, United Kingdom
Project: Modeling and forecasting stochastic volatility in stock markets.
Master of Philosophy (MPhil) in Mathematics
2011 – 2013, University of Liverpool
Project: Risk modeling in insurance and finance, identifying the roles of risks in insurance and finance in ruin probabilities, determining risk measures.
Bachelor’s Degree in Mathematics
2007 – 2011, University of Liverpool
Passed preliminary examinations of the Society of Actuaries (SOA), including: Probability, Financial Mathematics, Models for Financial Economics, Models for Life Contingencies, Construction, and Evaluation of Actuarial Models.

Biography
Selected publications
Professional experiences

Fei Liu is an assistant professor in Finance with a strong research interest in modeling financial time series. Fei focuses on the pragmatic applications of scientific results to real-world challenges in algorithmic trading and risk management. In addition, Fei's research explores the intersections of Artificial Intelligence (AI), Environmental, Social, and Governance (ESG) factors, and sustainable finance. A key focus is understanding the role of AI in financial decision-making, the integration of ESG considerations into quantitative models, and the implications of sustainability on financial stability and investment strategies.

1st revision submitted. MCDA Strategies for Portfolio Optimization: A Case Study on Vietnamese Stock Market Dynamics. Annals of Operations Research. 2025.
1st revision submitted. Influence of Social Sustainable Development Goals Sentiment on Listed Companies. Research in International Business and Finance, Special Issue on Social Finance. 2025.
Portfolio management with ESG news sentiment. Bankers, Markets, and Investors. 2024 (FNEGE 4) DOI:10.54695/bmi.172.0072
Sustainable Investing, Chapitre 13 : Portfolio Management with News-Based Sustainability Scores, pp. 337-374. Ron Große, Viet Hoang Le, Fei Liu, Hans-Jörg von Mettenheim. World Scientific Publishing. 2024. DOI : 10.1142/9789811297786_0013
Analysis of the Relevance of Sentiment Data for the Prediction of Excess Returns in a Multi-Asset Framework (avec Desforges P, Geissler C). Journal of Forecasting. 2023. (FNEGE 3, ABS 2*) DOI : 10.1002/for.2967
Deep Learning and Technical Analysis in Cryptocurrency Markets (avec Goutte S, Le VH, v. Mettenheim HJ). Finance Research Letters. 2023. (FNEGE 3, ABS 2*) DOI : 10.1016/j.frl.2023.103809
News-based Sentiment: Can It Explain Market Performance Before and After the Russia-Ukraine Conflict? (avec Le VH, v. Mettenheim HJ, Goutte S). Journal of Risk Finance. 2022. (ABS 1*) DOI : 10.1108/JRF-06-2022-0168
Pricing Inefficiencies and Feedback Trading: Evidence from Country ETFs (avec Kallinterakis V, Shao J). International Review of Financial Analysis. 2020. (FNEGE 3, ABS 3*) DOI : 10.1016/j.irfa.2020.101498
Forecasting and Trading High Frequency Volatility on Large Indices (avec v. Mettenheim HJ). Quantitative Finance. 2018. (FNEGE 3, ABS 3*) DOI : 10.1080/14697688.2017.1414489
Ruin with Insurance and Financial Risks Following the Least Risky FGM Dependence Structure (avec Chen Y, Liu J). Insurance: Mathematics and Economics. 2015. (FNEGE 3, ABS 3*) DOI : 10.1016/j.insmatheco.2015.03.007

Assistant Professor, IPAG Business School, Paris, 2019 - Present
Courses taught: Statistics, Quantitative Finance, Risk Management, International Finance, Wealth Management, Python for Finance, etc.
Guest Lecturer, EISTI – CyTech, Cergy, 2019-2021
Course: FinTech, RegTech, and InsurTech.
Teaching Assistant, University of Liverpool, United Kingdom, 2014 - 2016
Courses: Statistics, Probability, Financial Mathematics.
Management Intern, China Merchants Bank, China, 2013 - 2014.

Research Areas