Finance Train LogoFinance Train
Learning LibraryTemplatesBlog
Data Science Bundle
Finance TrainFinance Train
Learning LibraryTemplatesBlog
Data Science Bundle
Lesson 10 of 29

The Market Model for a Security’s Returns

When a portfolio manager considers a security for addition to a portfolio within the construct of mean variance analysis, he/she must determine what return for the x-variable represents “market portfolio”.

The Market Model assumes that some security market index, such as the S&P 500, represents the market portfolio.

The Market Model & Quant: The Market Model is a single variable regression model, where alpha return is the constant and beta is the security’s return coefficient on the independent (x) variable of the market index’s.

The market model allows for a security’s expected return to be priced by linear regression.

Ri = αi + βi(RM) + εi

• Ri = Return of security i

• αi = The return from the asset that is not related to the market’s return. This is “alpha” return from the security

• βi = Beta or the return from the security explained by the market index’s return

• RM = The market index’s return

• εi = Error term for past returns not explained by the regression equation

There are three assumptions in the market model:

1. The expected value of the error term in zero.

2. The errors are not correlated with the market returns.

3. The firm specific evens are not correlated across the assets.

Using these assumptions, the procedure for mean-variance analysis becomes very simple.

Previous Lesson

Adding an Asset to a Portfolio – Improving the Minimum Variance Frontier

Next Lesson

Adjusted and Unadjusted Beta

Back to ebook

Portfolio Management

29 lessons

Lessons

1
CFA Level 2: Portfolio Management – Introduction
2
Mean-Variance Analysis Assumptions
3
Expected Return and Variance for a Two Asset Portfolio
4
The Minimum Variance Frontier & Efficient Frontier
5
Diversification Benefits
6
The Capital Allocation Line – Introducing the Risk-free Asset
7
The Capital Market Line
8
CAPM & the SML
9
Adding an Asset to a Portfolio – Improving the Minimum Variance Frontier
10
The Market Model for a Security’s Returns
11
Adjusted and Unadjusted Beta
12
Multifactor Models
13
Arbitrage Portfolio Theory (APT) – A Multifactor Macroeconomic Model
14
Risk Factors and Tracking Portfolios
15
Markowitz, MPT, and Market Efficiency
16
International Capital Market Integration
17
Domestic CAPM and Extended CAPM
18
Changes in Real Exchange Rates
19
International CAPM (ICAPM) - Beyond Extended CAPM
20
Measuring Currency Exposure
21
Company Stock Value Responses to Changes in Real Exchange Rates
22
ICAPM vs. Domestic CAPM
23
The J-Curve – Impact of Exchange Rate Changes on National Economies
24
Moving Exchange Rates and Equity Markets
25
Impacts of Market Segmentation on ICAPM
26
Justifying Active Portfolio Management
27
The Treynor-Black Model
28
Portfolio Management Process
29
The Investor Policy Statement
Finance Train

Learn data science and AI skills for finance through practical courses and tutorials.

Learn

  • Learning Library
  • Course Directory
  • Blog

Resources

  • Templates & Downloads
  • Tools
  • Tables
  • Calculators

Company

  • About
  • Contact
  • Privacy
  • Terms

© 2026 Finance Train. All rights reserved.