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Investment Management

Chapters

1Foundations of Investment Management

2Securities Markets and Trading Mechanics

3Investment Vehicles and Pooled Products

4Data, Tools, and Modeling for Investments

Data sourcing and cleaning Return and excess return calculations Compounding and annualization Volatility, covariance, and correlation Scenario and sensitivity analysis Portfolio analytics in Excel Intro to Python for finance pandas and NumPy for time series Risk–return visualization Backtesting basics and pitfalls

5Risk, Return, and Probability

6Fixed Income: Bonds and Interest Rates

7Equity Securities: Valuation and Analysis

8Derivatives: Options, Futures, and Swaps

9Portfolio Theory and Diversification

10Asset Pricing Models: CAPM and Multifactor

11Portfolio Construction, Rebalancing, and Optimization

12Performance Measurement, Risk Management, and Ethics

13Options

Courses/Investment Management/Data, Tools, and Modeling for Investments

Data, Tools, and Modeling for Investments

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Hands-on analytics in Excel and optional Python for returns, risk, and portfolio computation.

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Data sourcing and cleaning

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