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1. What is Quantitative Investing?
1.1. Statistical Techniques
1.2. Computational tools
2. Getting Started
2.3. Cloud Setup
2.4. Local installation
3. Python Essentials
3.1. Basics
3.2. Collections
3.3. Numpy
3.4. Pandas
3.4.3. Indexing
3.4.4. Time-Series
3.4.5. Reshape
3.4.6. Merge
3.4.7. Group-by
3.4.8. Plotting
3.4.9. Cleaning data
3.4.10. Data Storage
3.5. Flow control
3.6. Functions
3.7. Plotting
4. Introduction to Asset Returns
4.4. The Choice of Frequency and Annualization of Returns
4.5. Data APIs
5. Factor Models
6. Portfolios
6.5. Linear Algebra Review
7. Capital Allocation
8. Factor Model Estimation
9. Capital Allocation II
10. Timing Strategies
10.1. Expected Returns Timing
10.2. Volatility Timing
11. Cross-Sectional Equity Strategies
11.3. Momentum factor
12. Performance Evaluation
13. Multi Factor Models
13.9. An overview of factors
13.10. 📊 Interpreting Factor Models
14. Machine Learning in Finance
15. Additional Statistics Material
16. Assignments
16.1. Assigment 0
16.6. Assignment 1
16.9. Assignment 2
16.12. Assignment 3
16.15. Assignment 4
Repository
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Assignments
16.
Assignments
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Please see below the class Assignments
