The course describes some of the main trading strategies used by active traders and provides a methodology to analyze them. The course covers individual equity markets (discretionary equity investing, short selling, quantitative equity strategies), tactical asset allocation across equity indices, currencies, fixed-income, and commodities (global macro investing, managed futures strategies), and relative-value arbitrage strategies (fixed income arbitrage, convertible bond arbitrage, event driven investments).

Assignments: To enhance students' understanding of the key concepts and theories covered in the lectures. 

Students will discover the basics of active asset management strategies and tools to evaluate performance and manage risk.

Group projects/Case studies: Students will implement and analyze a particular investment strategy based on real data. This is the key step in developing students' abilities and skills to discover and innovate.

The final examination: It covers topics in lectures and in-class discussions, will reveal students' accomplishments in discovery and innovation.

Students are not allowed to use Generative Artificial Intelligence Tools in the final examination.