All Lectures
Lecture 9

Multiple Linear Regression

Introduction

Multiple linear regression is probably the single most used technique in modern quantitative finance. To find out why check out our lectures on factor modeling and arbitrage pricing theory. Multiple linear regression is just like single linear regression, except you can use many variables to predict one outcome and measure the relative contributions of each. This lecture covers the basics and deals with some of the issues common to the analysis.

The lectures on this website are provided for informational purposes only and do not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor do they constitute an offer to provide investment advisory services by Quantopian.

In addition, the lectures offer no opinion with respect to the suitability of any security or specific investment. No information contained herein should be regarded as a suggestion to engage in or refrain from any investment-related course of action as none of Quantopian nor any of its affiliates is undertaking to provide investment advice, act as an adviser to any plan or entity subject to the Employee Retirement Income Security Act of 1974, as amended, individual retirement account or individual retirement annuity, or give advice in a fiduciary capacity with respect to the materials presented herein. If you are an individual retirement or other investor, contact your financial advisor or other fiduciary unrelated to Quantopian about whether any given investment idea, strategy, product or service described herein may be appropriate for your circumstances. All investments involve risk, including loss of principal. Quantopian makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.