Upon completion, students should be able to demonstrate a solid working knowledge of alternative investment analysis, including hedge funds, private equity, real estate, commodities, and cryptocurrencies. They should be able to explain and apply the fundamentals of portfolio management, including return and risk measurement, as well as portfolio planning and construction. Students will also develop proficiency in applying data analytics techniques to evaluate alternative investment performance and to implement quantitative risk management strategies across various alternative asset classes.
A. Demonstrate systematic understanding of knowledge and a critical awareness of current issues in professional practice related to alternative investments and strategies. B. Apply knowledge with originality and utilize established analytical and research techniques to interpret and address practical problems in the field. C. Evaluate methodologies, develop critiques of existing approaches, and propose new or improved practices where appropriate, based on conceptual understanding. D. Demonstrate competence in utilizing quantitative analytics, performance measurement tools, and statistical techniques to assess alternative investment opportunities and analyze market data. E. Apply Artificial Intelligence–facilitated analysis to construct and evaluate evidence-based investment strategies.
This module will be taught using a combination of lectures, tutorial and consultation hours. Learning will be reinforced by appropriate readings from both the textbook and topical articles in the financial press.