Fields of Study

Field of Study

Major Research Areas

Accounting

The role of accounting information in organisations and capital markets; financial reporting; earnings management; company disclosures; valuation; corporate governance; management accounting and performance measurement; industrial organisation of audit markets; international accounting and audit related issues.

Economics

China ’s economy; China’s financial markets and institutions; econometrics; economic development; economic history; economic policy; economics of transition; economy of Hong Kong; financial economics; game theory; industrial organisation; international trade and finance; labour economics; macroeconomics; mathematical economics; monetary theory and banking; political economy; price theory; public finance; quantitative history; transportation economics; urban economics.

Finance

Corporate finance; corporate governance; asset pricing theories; portfolio analysis; financial institutions; fixed-income securities; derivative securities; exotic options; international finance; risk management; capital market microstructure; Asian financial markets; econometric applications in finance.

Innovation and Information Management

Business Analytics/Statistics/Data Science:

Machine learning, deep learning, artificial intelligence, tensor data, causal inference, observational studies, time series analysis, high dimensional statistics, network analysis, dimension reduction, and applications in finance and healthcare analytics.

Information Systems:

Artificial intelligence; big data; blockchain; business analytics; computational social science; crowdfunding; digital innovation; digital transformation; e-commerce; fintech; human-computer interaction; machine learning; mobile commerce; platforms; privacy and security; recommender systems; social media; social networks; user-generated content; web mining.

Operations Management:

Behavioural operations; contract and incentive design; data-driven optimisation; dynamic pricing; empirical analysis; energy systems;

game-theoretic models;  health care systems; lab and field experimental studies; machine learning applications; mechanism design; 

operations-finance interface; online/offline retailing; platform economics and operations; queuing models; revenue management; risk analytics;
scheduling;  service systems; sharing economy; simulation analytics; stochastic optimisation; structural estimation; supply chain management; technology sourcing;  transportation systems.

Management and Strategy

Management and Entrepreneurship:

Asian/Chinese business organisation and management practice; organisational development; human resource strategies; organisational behaviour of employees; entrepreneurship; managing a startup business; leading change and growth in Chinese firms; network organisations; cross-cultural management.

Strategy and international business:

Competitive strategy; international business; economics of organisation and strategy; organisation and strategy in the Chinese economy; market and nonmarket strategies; institutional voids and transformation; competitiveness of the Chinese economy; regional clustering and development; international competitiveness; international competition and strategy; strategy and its execution; multinational enterprises; China business and economics.

Marketing

Marketing is a highly interdisciplinary area traditionally encompassing the areas of consumer psychology and economics (IO, empirical modeling); more recent empircal research in marketing also includes cutting edge domains of data science and basic social science.

Quantitative Marketing Candidates:

We are seeking students to work on empirical data modeling of millions of users’ digital traces.  Candidates should have solid training from three key areas – domain knowledge such as marketing/economics, computer science, and statistics/econometrics.  Students with experience in econometrics and causal modeling, economic structural models, MCMC, choice models, Bayesian methods, and statistics is a plus.  The faculty members have excellent access to world class datasets with exclusive relationships with a number of global-tier technology companies.

Behavioral Marketing Candidates:

Candidates should have a strong background in experimental psychology and statistics. We are interested in candidates with a strong background in social psychology, judgment decision making/behavioral economics, cognitive science, or neuroscience.