Agency: Contracts and Incentives

Related lectures (32)

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Covers the basics of risk management, major accidents, and the uncertainties of the future in decision-making processes.

Delves into society's perception of risk, risk estimation, residual risk, and safety culture.

Explores risk and return in finance, covering securities' performance, rates of return, variance, volatility, and portfolio diversification.

Covers risk measures used for determining risk capital and capital adequacy.

Delves into decision-making under risk, bounded rationality, prospect theory, and framing, with insights from behavioral economics.

Introduces supervised learning concepts and the k-Nearest Neighbors method for classification and regression tasks.

Covers accident theories, risk modeling, and risk evaluation in risk management.

Explores neural networks trained under Stochastic Gradient Descent, discussing hidden layers, square loss function, and particle evolution.

Explores the importance of aggregate risk and coherent risk measures, including their interpretation and implications.

Explores expected utility theory, risk-aversion, utility functions, and decision-making under uncertainty.