Yang Xu | Asset Pricing | Best Researcher Award

Dr. Yang Xu | Asset Pricing | Best Researcher Award

Associate Professor at Beihang University, China

Dr. Yang Xu is an Associate Professor at the School of Economics and Management, Beihang University, Beijing, China. His expertise lies in international finance, empirical asset pricing, exchange rates, commodity markets, and corporate finance. He has published extensively in top-tier journals such as the Journal of Money, Credit & Banking, Energy Economics, and International Review of Financial Analysis. Additionally, he has been actively involved in national research projects, particularly in the fields of geopolitical risks, commodity pricing, and exchange rate modeling.

Publication Profile 

Scopus

Orcid

Educational Background 🎓

  • Ph.D. in Financial Engineering – Beihang University, China (2014–2018)
    • Dissertation: “World Oil Market and Foreign Exchange Rate Prediction”
  • M.S. in Accountancy – The George Washington University, USA (2012–2014)
  • B.S. in Business and Financial Economics – University College Cork, Ireland (2010–2012)
  • B.S. in Accountancy – Beijing Technology and Business University, China (2008–2012)

Professional Experience 💼

  • Beihang University, Beijing, China

    • Associate Professor (Dec 2021 – Present)
    • Postdoctoral Fellow (Sep 2019 – Dec 2021)
    • Courses Taught: Financial Accounting, Corporate Finance, Accounting for Financial Institutions
  • Beijing University of Technology, Beijing, China

    • Assistant Professor, Beijing-Dublin International College (BDIC) (Jul 2018 – Jul 2019)
    • Courses Taught: Introduction to Financial Accounting, The Chinese Economy, Investment Analysis and Portfolio Management
    • Administrative Roles: Coordinator of the Sino-Foreign Finance Program, teaching arrangements, faculty hiring, and academic quality assessment

Research Interests 🔬

  • International Finance
  • Empirical Asset Pricing
  • Exchange Rate Dynamics
  • Commodity Markets and Pricing Models
  • Corporate Finance

Awards and Honors🏆✨

  • Principal Investigator of the Youth Program of the National Natural Science Foundation of China (No. 72001013) on “Geopolitical Risk Factor and Exchange Rate Pricing” (2021–2023)
  • Research Fellow on multiple National Natural Science Foundation projects related to commodity pricing, behavioral finance, and financial market risk modeling

Conclusion🌟

Dr. Yang Xu is a leading researcher and educator in finance, with a strong focus on the intersection of financial markets, risk management, and international finance. His academic contributions extend to geopolitical risk assessment, machine learning applications in finance, and commodity pricing models. Through his roles at Beihang University and Beijing University of Technology, he has played a significant part in advancing financial education and research in China.

Publications 📚

1️⃣ Oil Strikes Back: Trend Factors and Exchange Rates
🏦 Journal of Money, Credit & Banking (Forthcoming)
🔗 DOI: 10.1111/jmcb.13146


2️⃣ Advanced Information, Strategic Trading and Price Reversal: The Impact of Information Technology on Financial Market (📜 In Chinese)
📖 Management Review (管理评论) (Forthcoming)


3️⃣ An Analytical Framework of Derivatives Sniper Attack Risk Based on the Case Study of Tsingshan Group’s Forced Liquidation Incident in LME Nickel (📜 In Chinese)
📖 Management Review (管理评论), 2024, 2: 257–272


4️⃣ Data Factor and Financial Market Equilibrium
📈 Emerging Markets Finance and Trade, 2024, 4: 663–677


5️⃣ Geopolitical Risk and the Dynamics of International Capital Flows
🌍 Journal of International Financial Markets, Institutions & Money, 2023, 101693


6️⃣ RMB Internationalization and Its Influencing Factors—From the Perspective of Exchange Rate Linkage (📜 In Chinese)
💰 Studies of International Finance (国际金融研究), 2023, 3: 61–72


7️⃣ Does the SDR Stabilize Investing in Commodities?
💹 International Review of Economics and Finance, 2022, 160–172


8️⃣ How Does Skewness Perform in the Chinese Commodity Futures Market?
📊 Journal of Futures Market, 2021, 1–18


9️⃣ The Impact of Geopolitical Uncertainty on Energy Volatility
International Review of Financial Analysis, 2021, 75, 101743


🔟 Dynamic Linkage Between the Chinese and Global Stock Markets: A Mixture Normal Approach
📈 Emerging Markets Review, 2021, 49: 100764


1️⃣1️⃣ Measuring Similarity Between Financial Time Series with a View to Identifying Profitable Stock Market Opportunities
🤖 International Conference on Case-Based Reasoning, 2021


1️⃣2️⃣ Can the Baltic Dry Index Predict Foreign Exchange Rates?
💱 Finance Research Letters, 2020, 32: 101157


1️⃣3️⃣ Structural Relationship Between Oil Prices and Exchange Rates
Energy Economics, 2019, 84: 104488


1️⃣4️⃣ Leveraging BERT to Improve the FEARS Index for Stock Forecasting
🧠 International Joint Conference on Artificial Intelligence, 2019


1️⃣5️⃣ Does Investor Attention Matter? The Attention-Return Relationships in FX Market
📊 Economic Modelling, 2018, 68: 644–660


 

 

 

 

Fei Wang | Management Science | Best Researcher Award

Dr. Fei Wang | Management Science | Best Researcher Award

Lecturer at Hebei University of Economics and Business, China

Wang Fei is a lecturer at the School of Management Science and Engineering, Hebei University of Economics and Business. His research focuses on decision theory and methods, with expertise in fuzzy decision-making, multi-criteria decision-making (MCDM), and uncertainty modeling. He has published several high-impact papers in international journals and has led and participated in multiple research projects.

Publication Profile 

Orcid

Educational Background 🎓

  • Ph.D. in Economics and Management (September 2019 – January 2023)
    Yanshan University, School of Economics and Management
  • Master’s Degree in Economics and Management (September 2016 – June 2019)
    Yanshan University, School of Economics and Management

Professional Experience 💼

  • Lecturer (January 2023 – Present)
    School of Management Science and Engineering, Hebei University of Economics and Business

Research Interests 🔬

  • Decision Theory and Methods
  • Multi-Criteria Decision-Making (MCDM)
  • Fuzzy Systems and Uncertainty Modeling
  • Artificial Intelligence in Decision-Making
  • Data Science Applications in Management

Publications & Research Contributions

Wang Fei has authored several journal papers in high-impact publications, including Information Sciences and International Journal of Intelligent Systems. His research contributions include:

  • Development of novel multi-criteria decision-making (MCDM) models using fuzzy logic and prospect theory.
  • Applications of cubic fuzzy sets and similarity measurements in decision-making problems.
  • Exploration of neutrosophic and hesitant fuzzy systems in intelligent decision analysis.

Research Projects

Lead Investigator:

  • Hebei Education Department Science Research Project: “Research on Cubic Fuzzy Multi-Criteria Decision-Making Method and Its Applications” (Project No. BJK2024132)

Co-Investigator:

  • Public Opinion and Threat Analysis in Social Networks (Project No. 2019041201003)
  • Spatiotemporal Fuzzy Grading for Service Group Recommendation (Project No. HB19GL009)
  • Fuzzy Situation Analysis in Public Crisis Management (Project No. SQ201031)

Awards and Honors🏆✨

  • Recognized for contributions to fuzzy multi-criteria decision-making in academic research.
  • Published in top-tier international journals in the field of decision science and artificial intelligence.
  • Secured research funding for fuzzy logic applications in decision-making.

Conclusion🌟

Wang Fei is an emerging researcher in decision science and fuzzy logic-based multi-criteria decision-making. His work integrates mathematical modeling, uncertainty theory, and artificial intelligence, contributing to the advancement of intelligent decision support systems. As a lecturer and active researcher, he continues to drive innovations in fuzzy MCDM and its real-world applications.

Publications 📚

1️⃣ Novel score function and standard coefficient-based single-valued neutrosophic MCDM for live streaming sales
🏛 Journal: Information Sciences
📅 Date: January 2024
🔗 DOI: 10.1016/j.ins.2023.119836
Contributor(s): Fei Wang


2️⃣ Similarity and Pythagorean reliability measures of multivalued neutrosophic cubic set and its application to multiple‐criteria decision‐making
🏛 Journal: International Journal of Intelligent Systems
📅 Date: January 2022
🔗 DOI: 10.1002/int.22618
📖 ISSN: 0884-8173 / 1098-111X
Contributor(s): Fei Wang, Xiaodong Zhao


3️⃣ Prospect‐theory and geometric distance measure‐based Pythagorean cubic fuzzy multicriteria decision‐making
🏛 Journal: International Journal of Intelligent Systems
📅 Date: August 26, 2021
🔗 DOI: 10.1002/int.22453
Contributor(s): Fei Wang, Xiaodong Zhao