Introduces feed-forward networks, covering neural network structure, training, activation functions, and optimization, with applications in forecasting and finance.
Covers the Capital Asset Pricing Model, estimating betas, empirical evidence on returns versus beta, short-sale constraints, and optimal portfolio choice.
