CV
Master of Banking and Finance candidate at Monash University. My research applies machine learning and textual analysis to empirical asset pricing and risk measurement, with a focus on commodity (agricultural and energy) futures markets and the transmission of climate and policy risk. Related work extends into FinTech and information-disclosure design. I am seeking a PhD position in empirical/quantitative finance to develop these themes into a coherent research program.
Contact: wxchen2001@gmail.com · Melbourne, VIC, Australia · ORCID · LinkedIn
Education
- Monash University, Melbourne, Australia — Master of Banking and Finance, July 2025 – December 2026 (expected)
- GPA 3.625/4.00 · WAM 82.25/100 (High Distinction / First Class equivalent)
- Coursework includes research-method and applied units (in progress): BFX5000 Research Skills (Python), BFF5130 Case Studies in Banking and Finance (Thesis), ECX5630 Chinese Economy and Global Business
- University of Debrecen, Debrecen, Hungary — BSc in Business Administration and Management, September 2021 – January 2025
- GPA 4.21/5.00 · Rank 7/76 (top 10%)
- Quantitative foundation in linear algebra, calculus, probability and statistics, and micro/macroeconomics
Certifications
Technical skills and languages
- Programming languages: Python (PyTorch, pandas, NumPy), R, SQL, HTML, ASP.NET, LaTeX
- Statistical and research software: Stata, SPSS, Overleaf, TeXstudio, Microsoft Excel, MYOB
- Data and enterprise systems: SAP ERP (inventory management and financial-reporting modules), Windows Server, Linux deployment, cloud-application management
- Languages: Mandarin (native, C2), English (proficient, C1), Hungarian (intermediate, B1)
Research and professional experience
- Research Volunteer, Monash University, Melbourne, Australia — March 2026 – present
- Take part in multiple financial-behaviour experiments for a social survey project, and support data preparation, statistical analysis, and reproducible workflows in Python and R
- Data Analyst, Contemporary Amperex Technology Co., Limited (CATL), Debrecen, Hungary — May 2024 – December 2024
- Analysed supplier-performance and procurement-spend data (SAP ERP, Python) to surface cost-saving opportunities for vendor-management decisions
- Financial Risk Intern, Bank of China (International) Co., Limited, Shenyang, China — June 2023 – September 2023
- Built a Python backtesting framework for equity and futures strategies; out-of-sample testing across multiple historical regimes raised risk-adjusted robustness by approximately 15%
- Ran stress tests and statistical diagnostics on strategy logic and financial statements to quantify risk-adjusted returns and inform trading decisions
Selected research projects
- Campus Electrification Decision-Support (Monash Innovation Guarantee) — June 2026 – present · Python, Excel, LaTeX · link
- Contributed to decision-support research for electrifying 90 buildings across three Monash campuses by 2035 under the University’s Net Zero Initiative
- Identified investment-case documentation and approval workflows as the binding constraint on buildings-sector decarbonization; developed stakeholder-facing deliverables for the Net Zero team and project control group
- The Impact of “Common Prosperity” on China’s Economy — March 2022 – September 2023 · Excel, Stata, LaTeX · link
- Constructed a panel dataset covering 30 provinces to analyse income-inequality metrics
- Applied difference-in-differences models in Stata to evaluate policy shocks; drafted the literature review on macroeconomic policy transmission (with Prof. Y. Xing, Liaoning University)
- Innovative Research on the Collaborative Training Model — January 2022 – March 2022 · SPSS, LaTeX, Excel, Word · link
- Collaborated with Prof. Y. Xing (Liaoning University) on a project directed by the Liaoning Province Education Science Planning Leading Group Office
- Served as data analyst, processing and analysing mobile-phone usage data to support the research team’s quantitative findings
Honours and awards
Publications and working papers
* denotes corresponding author.
Chen, A.W.* (2026). "Trade Policy Shocks, Exchange Rate Fluctuations, and Agricultural Financial Risk Spillover: Evidence from Soybean Markets in China and the United States." SN Business & Economics, revised and resubmitted.
Chen, A.W., Chen, X. & Zhu, Z.* (2026). "Signals in the Noise: A Machine-Learning Approach to Pricing Alternative Information Shocks in Chinese Agricultural Futures." Journal of Futures Markets, under review.
Chen, A.W.* (2026). "Securitizing the Green Transition: Battery Supply Chains, Economic Security, and the Costs of Deglobalization." Alternatives: Global, Local, Political, under review.
Chen, A.W. & Yuan, G.* (2026). "From Local Climate Stress in China to Global Gas-Market Risk: Evidence for a Missing Channel in the Social Cost of Carbon." Work in progress; target journal: Energy Economics.
Li, B.*, Chen, A.W., et al. (2026). "Algorithmic Window Dressing: Disclosure Structure and Information Horizon Arbitrage." Finance Research Letters, 108, 110485.
Chen, A.W. & Zhang, Z.* (2026). "Can Soybean Tariff Shocks Trigger Abnormal Asymmetric Phenomena in Futures Markets? Evidence from the 2025 U.S.–China Trade Friction." International Journal of Financial Studies, 14(1), 1–25.
Chen, W. & Adam, M. (2025). "The Market Effect of Trade War on International Soybean Market." BSc graduation thesis, University of Debrecen. Grade: Excellent (5/5).
Service and volunteer experience
- Volunteer, Chinese Red Cross Foundation — September 2020 – present
- Tutor students in underdeveloped regions of China in Mandarin and English to support their academic learning
- Served as a volunteer assistant during the COVID-19 pandemic, helping deliver medical supplies to students in need
- Completed first-aid and AED training
References
Available on request.
