Hefei Wang

Professor of Finance at Xi'an Jiaotong-Liverpool University

Biography

Prof. Hefei Wang joined the International Business School Suzhou in 2022. She is currently serving as the Associate Dean for External Engagement at IBSS. Before joining XJTLU, Dr. Hefei Wang was a Professor of Finance and Director of the Financial Big Data Lab at the Renmin University of China. Dr. Wang holds a Ph.D. in Finance from Stanford Graduate School of Business.

Dr. Wang's research interests include theoretical corporate finance, dynamic asset allocation and Financial Big Data. She has single-authored and co-authored papers published in ABDC A*/A journals, including Journal of Financial Intermediation, Journal of Economic Dynamics and Control, and top Chinese academic journals including Economic Perspectives and Economic Theory and Business Management. She was co-PI for a number of research grants, including the Chicago Mercantile Exchange research grant, China National Natural Science Foundation Key Program and Youth Program. She was invited to present her research at American Economic Association (AEA) annual meetings, Society of Financial Econometrics (SOFIE), Financial Intermediation Research Society (FIRS), the US Federal Reserves, US Office of the Comptroller of the Currency, Asian Development Bank Institute, etc.

Dr. Wang has been awarded Renmin University Excellent Youth Scholar, Excellent Teaching Award at University of Illinois at Chicago, Stanford Graduate School of Business Jaedicke Merit Scholarship, Wellesley College Trustee Scholar, and received recognitions from the city of Suzhou including Jinji Lake Leading Talent Award and the Suzhou Industrial Park Excellent Educator Award. She is currently an independent director and risk committee member for Pengyang Asset Management Corporation, and on the board of directors for the Cambricon Fintech Research Institute and China Society for Industrial and Applied Mathematics (CSIAM) Algorithms and Fintech committee.

Qualifications

  • Ph.D Department of Finance, Stanford Graduate School of Business, 2000 - 2005
  • MS Department of Statistics, Stanford University, 2002 - 2003
  • BA Mathematics, Computer Science (Summa Cum Laude), Wellesley College, 1997 - 2000
  • Freshman Year, Department of Computer Science, Peking University, 1996 - 1997

Experience

  • Professor of Finance, IBSS, XJTLU, 2022 - present
  • Professor of Finance, International College, Renmin University of China, 2017 - 2022
  • Director of Financial Big Data Lab, Renmin University of China, Suzhou Campus, 2019 - 2022
  • Associate Professor of Finance, Hanqing Advanced Institute of Economics and Finance, Renmin University of China, 2013 - 2017
  • Quantitative Researcher, Risk Management, China Investment Corporation, 2012
  • Visiting Economist, Federal Reserve Bank of Chicago, 2009
  • Assistant Professor of Finance, Liautaud Graduate School of Business, University of Illinois, Chicago, 2005 - 2013

Research interests

  • Corporate Finance Theory/Contract Theory/Information Economics
  • Market Microstructure
  • Dynamic Asset Allocation
  • Financial Big Data

Awards and honours

  • Suzhou Industrial Park Excellent Educator, 2020
  • Best Faculty Advisor for the China International Quantitative Finance Competition, 2018, 2020
  • Jinji Lake talent award for academics, 2017
  • Renmin University Excellent Youth Scholar, 2017
  • Excellent Teaching Award at University of Illinois at Chicago, 2006
  • Stanford Graduate School of Business -- Jaedicke Merit Scholarship, 2001, 2002
  • Stanford Graduate School of Business Knight Scholar, 2000 - 2005
  • Wellesley College Trustee Scholar, 2000
  • Lewis Atterbury Stimson Prize in Mathematics, 2000
  • Hughes Research Award; Fairchild Research Award, 1999
  • Top ten finalist in China National Programming Competition (NOI); One of 15 members of the China National Olympic Training Team in Information Science., 1993-1996

Read about executive education

Other experts

Looking for an expert?

Contact us and we'll find the best option for you.

Something went wrong. We're trying to fix this error.