Explores the application of machine learning in finance, showcasing challenges and opportunities in the field.
Covers financial economics basics, including time value of money, risk/return tradeoff, and capital structure, preparing students for real-world financial decision-making.
Delves into the trade-off between model complexity and risk, generalization bounds, and the dangers of overfitting complex function classes.
Explores optimal portfolio choice with leverage constraints, the security market line, alpha, empirical evidence, CAPM limitations, APT extensions, and modern finance insights.
