This course focuses on applications of optimization methods in portfolio construction and risk management. The first module discusses portfolio construction via Mean-Variance Analysis and Capital Asset Pricing Model (CAPM) in an arbitrage-free setting. Next, it demonstrates the application of the security market line and sharpe optimal portfolio in the exercises. The second module involves the difficulties in implementing Mean-Variance techniques in a real-world setting and the potential methods to deal with it. We will introduce Value at Risk (VaR) and Conditional Value at Risk (CVaR) as risk measurements, and Exchange Traded Funds (ETFs), which play an important role in trading and asset management. Typical statistical biases, pitfalls, and their underlying reasons are also discussed, in order to achieve better results when completing real statistical estimation. The final module looks directly at real-world transaction costs modeling. It includes the basic market micro-structures including order book, bid-ask spread, measurement of liquidity, and their effects on transaction costs. Then we enrich Mean-Variance portfolio strategies by considering transaction costs.
Students should have intermediate to advanced undergraduate courses in: (i) probability and statistics, (ii) linear algebra, and (iii) calculus.
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来自 OPTIMIZATION METHODS IN ASSET MANAGEMENT的热门评论
The course overall is good. But the structure is kinda messy, and definitions used in assignments are not very clear sometimes.
It would be nice if more reading materials or reference can be pointed to, for example, specific chapters of a book or a specific paper, or lecture notes.