Dong, Wendy Wanxue（董婉雪）

Biography

Professor Dong is an Assistant Professor in the Department of Decisions, Operations and Technology at the CUHK Business School. She hold a PhD in Information Systems from the McCombs School of Business, the University of Texas at Austin. Her research aims to develop machine learning and artificial intelligence algorithms to solve business problems. Her recent projects develop novel ML and AI methods to evaluate workers’ decision accuracy and societal bias in many key domains including health care, fraud detection, fact checking, finance, and online labor markets. She earned a dual B.S. degree in Computer Science and Statistics from Purdue University, IN.

Teaching Areas

Business Information Systems

Research Interests

Machine Learning
Predictive Modeling
Experts/Labelers’ Decision Quality Assessment
Human AI Collaboration
Fair and Responsible AI

Publications & Working Papers
- Wanxue Dong, Maytal Saar-Tsechansky, and Geva Tomer, “A ML-based framework towards Transparency in Experts’ Decision Performance,” Management Science. Minor Revise and Resubmit (minor revision to be submitted in September 2023)
- Wanxue Dong, Maria De Arteaga, and Maytal Saar-Tsechansky, “Labelers’ Decision Biases Assessments – A New ML-based Method,” To be submitted to an IS journal soon.

Grants
- Provost Research Grant awarded by The University of Texas at Austin, 2021-2022

Awards & Honours
- Graduate School Summer, The University of Texas at Austin, 2022
- College Continuing Fellowship, The University of Texas at Austin, 2021
- McCombs Dean’s Fellowship, The University of Texas at Austin, 2017-2021

Academic/Professional Services
- Reviewer, Management Information Systems Quarterly (MISQ), 2023
- Reviewer, International Conference on Information Systems (ICIS), 2023

Whelan, Paul

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Biography

Professor Paul Whelan is an Associate Professor in the Department of Finance. Before joining CUHK in 2023, he was an Associate Professor of Finance at the Copenhagen Business School (CBS). He received his PhD degree in Financial Economics from Imperial College London.

Prof. Whelan’s papers have been published in the Journal of Finance, Journal of Financial Economics, the Review of Financial Studies, and Management Science, and has won several awards for his research.

Teaching Areas

Financial Economics
Financial Mathematics
Asset Pricing
Derivative Markets

Research Interests

Prof. Whelan’s research focuses on two distinct subfields:

Asset pricing and belief formation
Market microstructure

Publications & Working Papers
Published Papers
- Paul Whelan, Ingomar Krohn and Philippe Mueller, “Foreign Exchange Returns and Fixings Around the Clock,” Journal of Finance, forthcoming.
- Paul Whelan, Nina Boyarchenko and Lars Larsen (2022), “The Overnight Drift,” Review of Financial Studies.
- Paul Whelan, Andrea Buraschi and Ilaria Piatti (2021), “Subjective Bond Returns and Belief Aggregation,” Review of Financial Studies.
- Paul Whelan, Matteo Leombroni, Andrea Vedolin and Gyuri Venter (2021), “Central Bank Communication and the Yield Curve,” Journal of Financial Economics.
- Paul Whelan and Andrea Buraschi (2020), “Speculation, Sentiment, and Interest Rates,” Management Science.
- Paul Whelan and Andrea Buraschi (2016), “Bond Markets and Conventional Monetary Policy,” ‘Handbook of Fixed Income’ edited by Pietro Veronesi.
- Paul Whelan and Andrea Buraschi (2016), Bond Markets and Unconventional Monetary Policy,” ‘Handbook of Fixed Income’ edited by Pietro Veronesi.
Working Papers
- Paul Whelan, Daniel Pesch and Ilaria Piatti, “Subjective Risk Premia in Bond and FX Markets”
- Paul Whelan and Carsten Sørensen, “Money as Options”
- Paul Whelan, Nina Boyarchenko, Lars Larsen and Gyuri Venter, “Demand Shock Asymmetry”

Awards & Grants
- INQUIRE Europe Grant: Central Bank Shocks, 2022.
- Canadian Derivatives Institute Annual Research Grant: Foreign Exchange Returns and Fixings Around the Clocks
- Danish Research Council DFF-grant 1: principle early stage researcher, 2018.
- Danish Research Council DFF-grant 1: early stage researcher joint with Gyuri Venter, 2018.
- SFS Asian Cavalcade Beijing Best Paper Award: Subjective Bond Returns and Belief Aggrega-tion, 2017.
- CICF Xiamen Best Paper Award: Subjective Bond Returns and Belief Aggregation, 2016.
- Best PhD Thesis Imperial College London, 2015.
- GARP Risk Management Research Award, 2013.
- Winner Q-Group Grant Award: Speculation, Sentiment, and Interest Rates, 2012.
- AFA Doctoral Student Travel Grant, 2012.

Chen, Zhi（陳植）

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Biography

Prof. Zhi Chen is an Assistant Professor in the Department of Decisions, Operations and Technology, CUHK Business School, The Chinese University of Hong Kong. He obtained his PhD from NUS Business School, National University of Singapore and his BE from Tsinghua University, China.

His primary research involves developing models and designing algorithms for analytics under uncertainty with different levels of data availability as well as applications in business, economics, finance, and operations. He is also interested in how to compete or cooperate in joint activities such as resource allocation and risk management. His works appear in journals such as INFORMS Journal on Computing, Management Science, Operations Research, Production and Operations Management, Mathematical Finance, Transportation Science, and TRB.

Teaching Areas

Business Analytics
Data Mining & Machine Learning
Operations & Supply Chain Management
Risk Management

Research Interests

Analytics under Uncertainty
Data-Driven Analytics
Risk Management
Robust Optimisation

Publications & Working Papers
- Yue Zhao, Zhi Chen, and Zhenzhen Zhang (2023), “Distributionally Robust Chance Constrained p-Hub Center Problem,” INFORMS Journal on Computing, forthcoming.
- Yuanguang Zhong, Yibo Lan, Zhi Chen, and Jiazi Yang (2023), “On-Demand Ride-Hailing Platforms with Heterogeneous Quality-Sensitive Customers: Dedicated System or Pooling System,” Transportation Research Part B: Methodological, 173, 247-266.
- Feng Liu, Zhi Chen, and Shuming Wang (2023), “Globalized Distributionally Robust Counterpart,” INFORMS Journal on Computing, forthcoming.
- Zhi Chen, Daniel Kuhn, and Wolfram Wiesemann (2023), “On Approximations of Data-Driven Chance Constrained Programs over Wasserstein Balls,” Operations Research Letters, 51(3), 226-233.
- Haolin Ruan, Zhi Chen, and Chin Pang Ho (2022), “Adjustable Distributionally Robust Optimization with Infinitely Constrained Ambiguity Sets,” INFORMS Journal on Computing, forthcoming.
- Zhi Chen and Peng Xiong (2022), “RSOME in Python: An Open-Source Package for Robust Stochastic Optimization Made Easy,” INFORMS Journal on Computing, forthcoming.
- Guomin Xing, Zhi Chen, Yuanguang Zhong, and Yong-Wu Zhou (2022), “Mitigating Supply Risk with Limited Information: Emergency Supply and Responsive Pricing,” Production and Operations Management, forthcoming.
- Zhi Chen, Daniel Kuhn, and Wolfram Wiesemann (2022), “Data-Driven Chance Constrained Programs over Wasserstein Balls,” Operations Research, forthcoming.
- Yue Zhao, Zhi Chen, Andrew Lim, and Zhenzhen Zhang (2022), “Vessel Deployment with Limited Information: Distributionally Robust Chance Constrained Models,” Transportation Research Part B: Methodological, 161, 197-217.
- Zhi Chen and Weijun Xie (2021), “Regret in the Newsvendor Model with Demand and Yield Randomness,” Production and Operations Management, 30(11), 4176-4197.
- Zhi Chen and Weijun Xie (2021), “Sharing the Value-at-Risk under Distributional Ambiguity,” Mathematical Finance, 31(1), 531-559.
- Zhi Chen, Zhenyu Hu, and Qinshen Tang (2020), “Allocation Inequality in Cost Sharing Problem,” Journal of Mathematical Economics, 91, 111-120.
- Zhi Chen, Melvyn Sim, and Peng Xiong (2020), “Robust Stochastic Optimization Made Easy with RSOME,” Management Science, 66(8), 3329-3339.
- Shuming Wang, Zhi Chen, and Tianqi Liu (2020), “Distributionally Robust Hub Location,” Transportation Science, 54(5), 1189-1210.
- Zhi Chen, Pengqian Yu, and William Haskell (2019), “Distributionally Robust Optimization for Sequential Decision-Making,” Optimization, 68(12), 2393-2422.
- Zhi Chen, Melvyn Sim, and Huan Xu (2019), “Distributionally Robust Optimization with Infinitely Constrained Ambiguity Sets,” Operations Research, 67(5), 1328-1344.

Grants
- “A Distribution-Free Model of Time Series”, General Research Fund awarded by Hong Kong Research Grants Council with HK$414,059, 2024-2025 (Principal Investigator)
- CUHK “Improvement on Competitiveness in Hiring New Faculties” Funding Scheme awarded by The Chinese University of Hong Kong with HK$1,500,000 (Principal Investigator)
- “Robust Mechanism Design with Limited Information”, General Research Fund awarded by Hong Kong Research Grants Council with HK$925,120, 2023-2025 (Principal Investigator)
- “Financial Systemic Risk Measures based on Monte Carlo Simulation: Theory and Methods”, NSFC/RGC Joint Research Scheme awarded by National Natural Science Foundation of China & Hong Kong Research Grants Council, 2022-2025 (Co-Investigator)
- “A Python Algebraic Modeling Package for Robust Optimization”, Strategic Research Grant awarded by City University of Hong Kong with HK$100,000, 2021-2023 (Principal Investigator)
- “The Hurwicz Criterion for Data-Driven Decision-Making under Uncertainty”, Early Career Scheme awarded by Hong Kong Research Grants Council, HK$628,950, 2020-2023 (Principal Investigator)
- “Risk Sharing under Distributional Ambiguity: Stability, Inequality, and Monotonicity”, Start-Up Grant awarded by City University of Hong Kong, with HK$300,000, 2019-2022 (Principal Investigator)

Awards & Honours
- College Research Excellence Award, College of Business, City University of Hong Kong, 2022
- Finalist, George E. Nicholson Student Paper Competition, INFORMS, 2017

Academic/Professional Services
- Reviewer for INFORMS Journal on Computing, Management Science, Manufacturing & Service Operations Management, Operations Research, Production and Operations Management, Mathematics of Operations Research, Mathematical Programmin, Naval Research Logistics, Operations Research Letters, SIAM Journal on Optimization, TRB, TRE, Transportation Science, ICLR, ICML, and NeurIPS.

Chen, Jun（陳軍）

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Biography

Prof. Jun Chen is an Assistant Professor at the CUHK Business School. His research interests lie in corporate finance, financial accounting, and household finance. His latest projects have focused on the real effects of information in financial markets. He received his PhD in Finance and MFin degrees from Rady School of Management of the University of California San Diego, and BS in Mathematics from Peking University.

Teaching Areas

Data Analytics
Machine Learning

Research Interests

Corporate Finance
Financial Accounting
Household Finance

Karhade, Prasanna

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Biography

Prof. Prasanna Karhade joined the CUHK Business School as an Associate Professor in the Department of Decisions, Operations and Technology in August 2022.

Prof. Karhade is interested in digital innovation, design thinking and entrepreneurship. His research has been published in MIS Quarterly, Information Systems Research, and Journal of Management Information Systems.

He has currently started an ambitious research programme on micro-financing in GREAT (growing, rural, eastern, aspirational, and transitional) economies. Prof. Karhade loves hiking, poetry & meditation. Prasanna means happiness and so there is no incorrect way to pronounce Prasanna — as long as you do it with a smile.

Teaching Areas

Digital Innovation
Entrepreneurship
FinTech

Research Interests

Digital Innovation & Entrepreneurship
Digital Platforms & Decolonization
Governance & Control of IT in Family Business

Publications and Working Papers
Digital Innovation & Entrepreneurship
- Karhade, P. and Dong, J.Q. (2021), “IT Investment & Commercialized Innovation Performance: Dynamic Adjustment Costs and Curvilinear Effects,” MIS Quarterly, 45(3), 1007-1024.
- Karhade, P. and Dong, J.Q. (2021), “Innovation outcomes of the digitally enabled collaborative problemistic search capability,” MIS Quarterly, 45(2), 693-718.
- Dong, J.Q., Karhade, P., Rai, A., and Xu, S.X. (2021), “How Firms Make Information Technology Investment Decisions: Toward a Behavioral Agency Theory,” Journal of Management Information Systems, 38(1), 29-58. [Authors listed alphabetically.]
Digital Platforms & Decolonization
- Kathuria, A., Karhade, P., and Konsynski, B.R. (2020), “In the realm of hungry ghosts: Multi-level theory for restaurant participation in food delivery platforms,” Journal of Management Information Systems ,37(2), 396-430. [Kathuria A. and Karhade P. are both co-first authors.]
- Karhade, P. and Kathuria, A. (2020), “Missing Impact of Ratings on Platform Participation in India: A Call for Research in GREAT Domains,” Communications of the Association for Information Systems, 47(Article 19), 364-381. [Both authors are co-first authors.]
Governance & Control
- Karhade, P., Shaw, M.J., and Subramanyam, R. (2015), “Patterns in Information Systems Portfolio Prioritization: Evidence from Decision Tree Induction”, MIS Quarterly, 39(2), 413-433.
- Susarla, A., Subramanyam, R., and Karhade, P. (2011), “Contractual Provisions to Mitigate Holdup: Evidence from Information Technology Outsourcing,” Information Systems Research, 21(1), 37-55.
- Kathuria, A., Karhade, P., Ning, X., and Konsynski, B. “Blood and Water: IT Investment and Control in Family-Owned Businesses,” Journal of Management Information Systems, Accepted.

Grants
- “Search for Innovation: Integrating the Behavioural Theory of the Firm with Agency-Theoretic Explanations”, awarded by, Research Grants Council (RGC)of Hong Kong with HK$717,470, 2018-2021
- “IT Assets and Firm Innovation Output: An Empirical Examination”, awarded by Research Grants Council (RGC) of Hong Kong with HK$ 215,670, 2012-2014

Award & Honours
- Excellence in Teaching Award Nomination, University of Hawaii, 2020
- Dean’s Recognition of Excellent Teaching Performance, Hong Kong University of Science and Technology, 2013-14
- Dean’s Recognition of Excellent Teaching Performance, Hong Kong University of Science and Technology, 2014-15
- List of Teachers Ranked as Excellent by Their Students, University of Illinois at Urbana Champaign, 2006
- List of Teachers Ranked as Excellent by Their Students, University of Illinois at Urbana Champaign, 2007

Academic/Professional Services
- Member, Association for Information Systems (AIS)
- Member, Academy of Management (AoM)

Liu, Ruixuan（劉睿軒）

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Teaching Areas

Econometrics

Research Interests

Econometrics
Data Science

Publications & Working Papers
- Ruixuan Liu and Zhengfei Yu (2022), “Simple Semiparametric Estimation of Ordered Response Models,” Econometric Theory, forthcoming.
- Ruixuan Liu and Zhengfei Yu (2022), “Sample Selection Models with Monotone Control Functions,” Journal of Econometrics, 226(2), 321-342.
- Zhongjian Lin and Ruixuan Liu (2021), “A Multiplex Interdependent Durations Model,” Econometric Theory, 37(6), 1238-1266.
- Ruixuan Liu (2020), “A Competing Risks Model with Time-varying Heterogeneity and Simultaneous Failure,” Quantitative Economics, 11(2), 535-577.
- Ruixuan Liu and Zhengfei Yu (2020), “Accelerated Failure Time Models with Log-concave Errors,” Econometrics Journal, 23(2), 251-268.
- Yanqin Fan and Ruixuan Liu (2018), “Partial Identification and Inference in Censored Quantile Regression,” Journal of Econometrics, 206(1), 1-38.
- Heng Chen, Yanqin Fan and Ruixuan Liu (2016), “Inference for the Correlation Coefficient Between the Potential Outcomes in Gaussian Switching Regime Models,” Journal of Econometrics, 195(2), 255-270.
- Hongjun Li, Qi Li and Ruixuan Liu (2016), “Consistent Model Specification Tests Based On K-Nearest-Neighbor Estimation Method,” Journal of Econometrics, 194(1), 187-202.
- Yanqin Fan and Ruixuan Liu (2016), “A Direct Approach to Inference in Nonparametric and Semiparametric Quantile Models,” Journal of Econometrics, 191(1), 196-216.

Grants
- “Improvement on Competitiveness in Hiring New Faculties” Funding Scheme awarded by The Chinese University of Hong Kong with HK$1,072,208, 2022-2024.

Awards & Honours
- Arnold Zellner Award, Journal of Econometrics, 2018

Lim, Ben Hong-beng（林宏明）

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Biography

Prof. Ben Lim joined The Chinese University of Hong Kong (CUHK) Business School in 2022 as an Assistant Professor of Finance. His research interests mainly lie in the intersection between statistics/machine learning and actuarial science. His research has focused on life settlements, and he is currently interested in the actuarial applications of neural network methods. He is also an Associate of the Society of Actuaries.

Teaching Areas

Actuarial Science

Research Interests

Interface of Statistics/Machine Learning with Actuarial Science
Life Settlements
Mortality Forecasting
Actuarial Applications of Neural Networks

Publications & Working Papers
- Hong Beng Lim and N.D. Shyamalkumar (2022), “Incorporating industry mortality table stylized facts into a company-specific mortality analysis: Neural networks with monotonicity constraints“.
- Hong Beng Lim and N.D. Shyamalkumar (2022), “Evaluating medical underwriters in life settlements: problem of unreported deaths,” North American Actuarial Journal, 26(2), 298-322.
- Hong Beng Lim and N.D. Shyamalkumar (2021), “A semiparametric method for assessing life expectancy evaluations,” North American Actuarial Journal, 25(3), 360-394.
- Dale Zimmerman and Hong Beng Lim (2021), “The middle-seed anomaly: Why does it occur in some sports tournaments but not others?” Journal of Quantitative Analysis in Sports, 17(3), 171-185.

Awards & Honours
- Taylor Award for Actuarial Stochastics, The University of Iowa, 2019 & 2022
- Ballad & Seashore Dissertation Fellowship, The University of Iowa, 2022
- Hickman Scholarship, Society of Actuaries, 2020-2022
- Henry L. Rietz (Outstanding PhD Comprehensive Exams) Award, The University of Iowa, 2019
- Graduate College Post-Comprehensive Research Fellowship, The University of Iowa, 2019
- Honorable Mention: Allen T. Craig (Outstanding TA) Award, The University of Iowa, 2018
- Bicknell Scholarship, UW-Madison, 2016

Academic/Professional Services
- President, Statistics Student Organization, The University of Iowa, 2020-2022

Yang, Yang (Zoe)（楊揚）

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Biography

Prof. Zoe Yang is an Assistant Professor of Real Estate at The Chinese University of Hong Kong. Her research focuses on urban economics, real estate, and sustainability. She holds a PhD in Real Estate from the National University of Singapore (2018), an MSc in Urban Land Economics (2014), and a B.Comm with Honours in Finance and Real Estate (2012) from the University of British Columbia. Her work has been published in academic journals, such as The Review of Economics and Statistics, Journal of Public Economics, Journal of Urban Economics, Real Estate Economics, Regional Science and Urban Economics, Journal of Economic Behavior and Organization, and Energy Economics.

Prof. Yang is the principal investigator of Hong Kong GRC projects and the National Natural Science Foundation of China’s Young Scientists Fund. She is the Associate Editor of Regional Science and Urban Economics, an Academic Editor for PLOS One, and sits on the editorial board of the Journal of Real Estate Literature.

Teaching Areas

Real Estate Development
Real Estate Investment

Research Interests

Urban Economics
Real Estate Finance
Chinese Economy
Environmental Economics

Publications & Working Papers
Publications
- H. Fang, L. Wang, and Y. Yang (2022), “Competition and Quality: Evidence from the High-Speed Rails and Airlines,” The Review of Economics and Statistics, forthcoming.
- S. Agarwal, L. Wang, and Y. Yang (2021), “Impact of transboundary air pollution on service quality and consumer satisfaction,” Journal of Economic Behavior and Organization, 192, 357-380.
- H. Fang, L. Wang, and Y. Yang (2020), “Human mobility restrictions and the spread of the novel coronavirus (2019-ncov) in China,” Journal of Public Economics, 191, 104272.
- L. Wang and Y. Yang (2021), “Political connections in the land market: Evidence from China’s state‐owned enterprises,” Real Estate Economics, 49(1), 7-35.
- T. Somerville, L. Wang, and Y. Yang (2020), “Using purchase restrictions to cool housing markets: A within-market analysis,” Journal of Urban Economics, 115,103189.
- Y. Lin, Y. Qin, Y. Yang, and H. Zhu (2020), “Can price regulation increase land-use intensity? Evidence from China’s industrial land market,” Regional Science and Urban Economics, 81, 103501.
- S. Agarwal, T.F. Sing, and Y. Yang (2020), “The Impact of Transboundary Haze Pollution on Household Utilities Consumption,” Energy Economics, 85, 104591.
- S. Agarwal, S. Rengarajan, T.F. Sing, and Y. Yang (2017), “Nudges from school children and electricity conservation: Evidence from the “Project Carbon Zero” campaign in Singapore,” Energy Economics, 61, 29-41.
- S. Agarwal, S. Rengarajan, T.F. Sing, and Y. Yang (2016), “School allocation rules and housing prices: A quasi-experiment with school relocation events in Singapore,” Regional Science and Urban Economics, 58, 42-56.
Working Papers
- Hanming Fang, Long Wang and Y. Yang, “Housing Shock and Online Consumption Behavior.”
- Sumit Agarwal, Weida Kuang, Long Wang, and Y. Yang, “The Role of Agents in Fraudulent Activities: Evidence from the Housing Market in Beijing.”
- Sumit Agarwal, Tien Foo Sing and Y. Yang, “Energy Saving and Price Premium of Green Buildings: Evidence from Singapore.”
- Sumit Agarwal, Long Wang, and Y. Yang, “Online Consumption Response to Sustained Exposure to Air Pollution: Evidence from a Quasi-experiment in China.”
- Sumit Agarwal, Shin-fen Cheng, Jussi Keppo, Long Wang and Y. Yang, “Information Provision and Labor Efficiency: Evidence from Taxis in Singapore.”

Grants
- “Environmental Pollution and Consumption Behavior in the Digital Era”, Young Scientists Fund awarded by National Natural Science Foundation of China, 2023 – 2025
- “Information Salience and Vehicle Idling Behavior”, Project Impact Enhancement Fund awarded by CUHK, 2023 – 2025
- “Air Pollution and Online Consumption”, General Research Fund awarded by University Grants Committee of Hong Kong, 2023-2025
- “Wealth Shock and Online Consumption”, Early Career Scheme awarded by University Grants Committee of Hong Kong, 2020-2022
- “Competition and Quality: New Evidence from the High-Speed Rails and Airlines”, Project Impact Enhancement Fund awarded by CUHK, 2020-2022
- “Blessing in Disguise? Environmental Shocks and Performance Enhancement”, Project Impact Enhancement Fund awarded by CUHK, 2019-2021

Academic/Professional Services
Editorial Boards
- Associate Editor, Regional Science and Urban Economics
- Academic Editor, PLOS One
- Editorial Board, Journal of Real Estate Literature
Peer-reviews
- Review of Economics and Statistics
- Journal of Public Economics
- American Economic Journal: Applied Economics,
- Management Science
- Review of Finance
- Journal of Industrial Economics
- Journal of Environmental Economics and Management
- China Economics Review
- Journal of Urban Economics
- Real Estate Economics
- Regional Science and Urban Economics
- International Real Estate Review
- Journal of Housing Economics
- Cities
- Review of Transportation Research – Part B
- Transport Policy
- World Development
- Journal of Asian Economics
- Economic Modelling
- International Journal of Urban Sciences
Conference Reviewer
- AsRES/GCREC International Conference, 2023
- Annual Graduate Education and Graduate Student Research Conference in Hospitality and Tourism, 2019-Present

Chan, Wai-sum（陳偉森）

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Biography

Prof. Wai-sum Chan is an Emeritus Professor in the Department of Finance at The Chinese University of Hong Kong (CUHK) Business School. Prof. Chan was born in Hong Kong. His undergraduate work was taken at CUHK where he graduated in 1984 with a major in accounting and a minor in statistics. After graduation, he completed a research-based MPhil Degree in Statistics at CUHK. He then further pursued a doctorate in applied statistics at the Fox School of Business, Temple University (Philadelphia, US), receiving the PhD in 1989. He is a Chartered Enterprise Risk Analyst (CERA), Fellow of the Society of Actuaries (FSA), Honorary Fellow of the Institute and Faculty of Actuaries (HonFIA) and Chartered Statistician (CStat).

Prof. Chan has held teaching and research posts at the National University of Singapore, the University of Waterloo, The University of Hong Kong, and CUHK before his present appointment as Dean and Professor of Decision Sciences at the Hong Kong Hang Seng University. He received the Edward Lew Research Award (second prize) in 2006 and was awarded the Inaugural Teaching Excellence Award by the National University of Singapore in 1992.

Prof. Chan has published over 110 journal papers and authored five books. His recent book “Financial Mathematics for Actuaries” has been selected as one of the suggested textbooks for the professional Financial Mathematics Exam by the Society of Actuaries.

Prof. Chan has served on the editorial boards of many journals, including North American Actuarial Journal (co-Editor since 2014), Journal of International Financial Markets, Institutions and Money (Subject Editor since 2015), Emerging Markets Review (Subject Editor since 2014), and Finance Research Letters (from 2014 to 2020). He presented over 100 invited conference talks in more than 15 countries.

Prof. Chan served as a Non-Executive Director of the Governing Board of the Insurance Authority of Hong Kong (2015-2021), and he is a current member of the Hong Kong Committee for Pacific Economic Cooperation (HKCPEC) comprising representatives from the academic, business, and government sectors. The committee discusses trade and economic issues, and aims to foster closer economic cooperation in the Pacific region.

Research Interests

Modelling of Actuarial Assumptions
Law and Actuarial Science
Financial Econometrics
Clinical Statistics