Machine Learning in Finance

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Related lectures (31)

Page 2 of 4

Explores perception in deep learning for autonomous vehicles, covering image classification, optimization methods, and the role of representation in machine learning.

Principles of Finance: Portfolio Optimization and CAPM

Explores portfolio optimization, efficient frontier, CAPM, and risk management in finance.

Risk Premium Illustration in Excel

Explains risk premium calculation in Excel using continuation prices and discounted cash flows.

Quantitative Risk Management: Basics and Applications

Covers the basics of quantitative risk management, financial risk, loss distributions, and risk factor changes.

Bank Balance Sheets & Interest Rate Risk

Explores bank balance sheets, risks, and interest rate impact on performance metrics and risks faced by financial institutions.

Principles of Finance: Risk and Return

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

Quantitative Risk Management: Tools and Examples

Explores quantitative risk management tools, Historical Value-At-Risk estimation challenges, CCAR scenarios, and fitting return processes.

Risk Management in Finance

Explores risk assessment in finance, income estimation, diversification, and investment decision-making processes.

Principles of Finance: Stock Valuation and Investment Strategies

Explores stock valuation, risk-return relationship, and portfolio returns based on weights.

Machine Learning: Supervised and Unsupervised Learning Techniques

Covers supervised and unsupervised learning techniques in machine learning, highlighting their applications in finance and environmental analysis.