Difference between revisions of "Computational Investing"
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| Line 11: | Line 11: | ||
==Lesson 6: Technical Analysis== | ==Lesson 6: Technical Analysis== | ||
| − | ==Lesson 7: | + | ==Lesson 7: Dealing with data== |
| + | * How data can be bad | ||
| + | * Actual & adjusted | ||
| + | * Survivor bias | ||
| − | ==Lesson 8: | + | ==Lesson 8: Efficient Markets Hypothesis (short)== |
| − | ==Lesson 9: Portfolio optimization and the efficient frontier== | + | ==Lesson 9: The Fundamental Law of active portfolio management== |
| + | |||
| + | ==Lesson 10: Portfolio optimization and the efficient frontier== | ||
Revision as of 01:02, 4 March 2015
Contents
- 1 Lesson 1: So you want to be a hedge fund manager?
- 2 Lesson 2: Market mechanics
- 3 Lesson 3: What is a company worth
- 4 Lesson 4: The Capital Assets Pricing Model (CAPM)
- 5 Lesson 5: How hedge funds use the CAPM
- 6 Lesson 6: Technical Analysis
- 7 Lesson 7: Dealing with data
- 8 Lesson 8: Efficient Markets Hypothesis (short)
- 9 Lesson 9: The Fundamental Law of active portfolio management
- 10 Lesson 10: Portfolio optimization and the efficient frontier
Lesson 1: So you want to be a hedge fund manager?
Lesson 2: Market mechanics
Lesson 3: What is a company worth
Lesson 4: The Capital Assets Pricing Model (CAPM)
Lesson 5: How hedge funds use the CAPM
Lesson 6: Technical Analysis
Lesson 7: Dealing with data
- How data can be bad
- Actual & adjusted
- Survivor bias
