# CFRM 501: Investment Science

> Reading Material:
>
> * *Investment Science*, D. Luenberger, 1997.
> * *Asset Management: A Systematic Approach to Factor Investing*, A. Ang, 2014.
> * *Asset Pricing and Portfolio Choice*, K. Back, 2017.

This course is an introduction to the mathematical, statistical and economic foundations of Finance. Learning of the theoretical concepts will be reinforced through use of computing exercises. The material is similar in scope to an MBA level investments course, but at a significantly higher quantitative level. The course aims to establish various quantitative methods for investment decision-making in the context of modern financial markets.

1. Theory of Capital Markets and Returns
2. Expected Utility Theory
3. Mean-Variance Analysis
4. The Capital-Asset Pricing Model
5. Pricing Factors and Statistical Factors
6. Arbitrage and Equilibrium
7. Rational Expectations and Market Efficiency


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://cfrm.franco.biz/program/first-quarter/cfrm-501-investment-science.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
