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Department of Land Economy

Environment, Law & Economics
 

Summary of Research Interests

Urban Economics, Real Estate Finance, Behavioral Finance, Machine Learning

 

PhD Thesis Title

Machine Learning Applications in Real Estate and Urban Economics

 

Supervisors and Advisor

Dr. Thies Lindenthal

 

Start Date
Michaelmas 2019

 

End Date
Easter 2022

 

College
St Edmund’s College

 

Education

Ph.D. Candidate, University of Cambridge (2019–present)

  • Cambridge Trust International and St Edmund’s Duke of Edinburgh Scholarship (2019–2022)

Master of Urban Planning (MUP), National University of Singapore (2016–2018)

  • Top 1% of Graduating Class

MPhil in Industrial Engineering and Logistic Management, Hong Kong University of Science and Technology (2012–2014)

  • HKUST Postgraduate Scholarship (2012–2014)

BEng in Electronics and Computer Engineering, University’s Name (Year–Year)

  • Hong Kong Telecom Institute of Information Technology Scholarship (2011–2012)
  • Chiap Hua Cheng’s Foundation Scholarship (2009–2010)
  • China Soong Ching Ling Foundation Freshman Scholarship (2008 – 2012)
  • University Academic Medalist
  • Best Departmental Thesis Award
  • First Class Honors
  • Top 1% of Graduating Class

 

Summer Programmes

  • Exchange Scholar, Princeton University (2011)
  • Exchange Student, Cornell University (2010)

 

Awards and Scholarships

  • Best-in-Track Paper Award for Real Estate, Academy of Finance Conference (2021)
  • Alrov Institute for Real Estate Research Grant, Tel Aviv University (2021)
  • Best Paper Award, Global Chinese Real Estate Congress Annual Conference (2019)

 

Teaching and Research Experience

  • Teaching Associate, RE01 Corporate Finance and Real Estate (Postgraduate Course), Department of Land Economy, University of Cambridge (2020–present)
  • Teaching Assistant, Engineering in Society (Undergraduate Course), Department of Industrial Engineering and Decision Analytics, Hong Kong University of Science and Technology (2013–2014)
  • Teaching Assistant, Engineering Probability and Statistics (Undergraduate Course), Department of Industrial Engineering and Decision Analytics, Hong Kong University of Science and Technology (2013–2014)
  • Teaching Assistant, Global Supply Chain Management (Undergraduate Course), Department of Industrial Engineering and Decision Analytics, Hong Kong University of Science and Technology (2013–2014)
  • Research Assistant, Dr. Yi Fan, Department of Real Estate, National University of Singapore (2017–2019)

 

Professional Experience

  • Undergraduate Admission Committee, Murray Edwards College, The University of Cambridge (2021)

 

Articles and Book Chapters

 

  • Gan, Q., Hu, M., & Wan, W. X. (Forthcoming). Contract Rescission in the Real Estate Presale Market. Real Estate Economics.
  • Fan, Y., Teo, H. P., & Wan, W. X. (2021). Public Transport, Noise Complaints, and Housing: Evidence from Sentiment Analysis in Singapore. Journal of Regional Science, 61(3), 570-596. DOI: 10.1111/jors.12524.
  • Li, L., & Wan, W. X. (2021). The Effect of Expected Losses on the Hong Kong Property Market. The Journal of Real Estate Finance and Economics, 1-30. DOI: 10.1007/s11146-021-09851-3.
  • Li, L., Wan, W. X., & He, S. (2021). The Heightened Security Zone Function of Gated Communities during the COVID-19 Pandemic and the Changing Housing Market Dynamic: Evidence from Beijing, China. Land, 10(9), 983. DOI: 10.3390/land10090983.
  • Wang, Y., Zhao, W., & Wan, W. X. (2020). Needs-based Product Configurator Design for Mass Customization using Hierarchical Attention Network. IEEE Transactions on Automation Science and Engineering, 18(1), 195-204. DOI: 10.1109/TASE.2019.2957136.
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Working Papers

  • Wan, W. X. (2021). Blinded by Familiarity? Institutional Investors under Adverse Performance Shocks
  • Wan, W. X., & Lindenthal, T. (2021). Towards Accountability in Machine Learning Applications: A System-testing Approach.
  • Lindenthal, T., Schmidt, C. E., & Wan, W. X. (2021). Aesthetic Preferences for Residential Architecture: Finding Ground Truth with Machine Learning Approaches.
  • Hu, M., Tsang, D., & Wan, W. X. (2021). Corporate Relocation and Housing Market Spillover.
  • Fan, Y., Hu, M., & Wan, W. X. (2021). A Tale of Two Cities: Mainland Chinese Buyers in the Hong Kong Housing Market.
  • Fan, Y., Tu Y., Teo, H. P., & Wan, W. X. (2021), A Road to Integration: Post-Migration Experience and Housing Behavior in Singapore.
  • Agarwal, S., Chau, K. W., Hu, M., & Wan, W. X. (2021). Tobin Tax Policy, Housing Speculation, and Property Market Dynamics.
  • Hu, M., Tsang, D., & Wan, W. X. (2021). CEO Overconfidence and the COVID-19 Pandemic.
  • Yang, C., Fan, Y., Bu, S., Wan, W. X., & Foley, A. (2021). Data-driven Energy Transition Policy Evaluation and Optimization in Smart Regions.
 

 

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