This course examines the theory, application and real-world evidence of how financial markets work. Students examine stock, bond and currency markets, valuation of stocks and bonds and the performance of popular portfolios based on size, value and momentum. Students learn to build optimal portfolios through dynamic asset allocation, examine the risk-return relation in stocks, bonds and currencies.

This course provides students with an opportunity to evaluate and analyze corporate financial decision-making. Students examine complex issues related to corporate governance, capital budgeting, capital cost, capital structure, dividend policy, IPOS, and mergers and acquisitions.

This course examines empirical research in finance, involving the integration of financial theory, financial econometrics, and data analysis. Students conduct empirical research in finance by applying econometric theories, programming analyses in various statistical software, interpreting data to generate insights and communicating findings in writing and oral presentations.

This course examines the application of artificial intelligence, machine learning, and modern computational methods in finance. It introduces students to reproducible data workflows in popular programming languages and to selected applications in areas such as empirical asset pricing, portfolio management, risk measurement, derivatives, financial prediction, text analysis, and generative AI. Emphasis is placed on linking finance theory with data-driven methods, critically evaluating model performance, and producing transparent and replicable analyses. Specific applications may vary across offerings as the field continues to evolve.

This course provides students with the opportunity to analyze companies in the context of how they construct equity portfolios and examine the valuation of firms and the calculation of companies' intrinsic value. Students explore the role and activities of equity security analysis in highly competitive markets.

This course provides students with the international finance knowledge required to manage financial assets in a global environment. Students examine foreign exchange forecasting and risk management using various techniques, including derivative instruments. Students discuss articles and cases related to capital flows in international markets, financing trade flows and open economy macroeconomic models.

This course examines the theory and application of financial derivatives within a comprehensive risk management framework. Students evaluate how firms can use derivatives strategically to manage risk and enhance firm value. The course begins with the structure, payoff characteristics and pricing of financial derivatives, including forwards, futures, and options. Then major sources of financial risks faced by firms are examined, such as interest rate, foreign exchange, credit and liquidity risk. Students analyze how derivative strategies can be used to hedge exposures and support financial decision-making.

This course provides opportunities for graduate students to study topics in finance that are not covered in other graduate-level finance courses. The course is offered when there are both available faculty and sufficient interest among students.