Economics

This course explores the concepts and frameworks of behavioral economics that are used to explain observations in the financial sector. Topics include the prospect theory and its implications for investment behaviors, empirical evidences in the financial sector that support the idea of behavioral economics, and models that incorporate psychological and sociological factors in explaining asset returns.

This course is to help the students to 

· Master basic innovation theories

· Improve actual innovation and entrepreneurship capabilities

· Learn the right way to think creatively

· Be familiar with general innovation strategies

• Lecture 1: From VUCA Pan-Competition to BANI Era 

• Lecture 2: Innovation and Innovation Strategy

• Lecture 3: Introduction to Entrepreneurship Management

• Lecture 4: Identifying opportunities to generate creative ideas

• Lecture 5 Industry and Competitor Analysis

• Lecture 6: Enterprise Business Model Design and Innovation • Lecture 7: Writing a Business Plan

• Lecture 8 Obtaining Financing

• Lecture 9 Special Marketing Issues

This course examines new and comprehensive methods for the analysis and formation of business strategy. The course analyzes strategies for developing competitive advantages, including product differentiation, cost advantages and product life cycles; implementing incentives, control, firm boundaries, and internal firm decision-making mechanisms; implementing pricing, auction and signalling practices; assessing industry attractiveness and the regulatory/trade practices environment; and managing industry cooperation and conflict.

Students study the theoretical and practical aspects of financial markets, and learn how modern financial markets work. Engaging with leading faculty and your peers, students are introduced to modern investment portfolio management strategies covering topics such as diversification, asset allocation, portfolio optimization, the relationship between risk and return, factor models and equity valuation. Students also tackle some of the fundamental issues that arise in investment management, such as market efficiency, behavioral biases of investors, and market liquidity. 

This is an introductory course that lays the foundation for understanding the economic behavior of individual consumers, firms, and markets. This course delves into the fundamental theories and concepts of microeconomics and illuminates how these concepts apply to real-world situations. Students will explore supply and demand, elasticity, utility, production, cost, market structures (including perfect competition, monopoly, monopolistic competition, and oligopoly), factor markets, and market failure. This course requires no prior knowledge of economics and is suitable for students of all disciplines interested in understanding how microeconomic principles affect everyday life.

Students are expected to actively participate in various classroom experiments throughout the semester. 

 

The Course will include a review on Chinese growing technology sector and its ever-changing competitive internet Universe, and the way Chinese entrepreneurs are reshaping traditional industries (i.e.green industries, auto industry, last mile delivery, micro-mobility, retail, finance, entertainment, artificial intelligence). This course will review Chinese modernization policies, including but not limited to China 2025, China Internet, the recently issued Five-year plan, and their implication in the development of China and impact on China’s business environment and society. Review on Artificial Intelligence, its impact in Chinese society, economy and culture will also be covered. Finally, Chinese One Belt One Road initiative and Chinese pivotal role in the international arena. Overall this course provides students with useful insights for students to understand China not only a supplier of goods and commodities, but also, as a business innovative economy with great potential for internationalization.

This course provides: (i) a working knowledge of the most important aspects of the linear regression model; and (ii) basic tools needed to understand and critically interpret empirical research conducted by others as well as to plan and conduct empirical analyses using economic data. The key concepts of the underlying statistical theory are covered, but major emphasis is placed on application of the theory from a practical standpoint. The course also provides an introduction on how to conduct empirical analysis of economic data using Stata, a statistical software package. Prerequisites: Sound knowledge of mathematics and statistics.

This course presents international trade theory and trade policy practices. Relevant international trade theories are discussed together with the hypothesized consequences and empirical support. The course examines both tariff and non-tariff trade policy measures. In the latter, both traditional (e.g. quota, local content requirements) and new forms (sanitary and phyto-sanitary, technical requirement) of non-tariff measures are covered. The course also discusses free trade agreements and international production sharing, and their impacts.