Linear Algebra in the Financial World (2024)

by Barbara Swart (University of Pretoria, South Africa)

This article originally appeared in:
College Mathematics Journal
May, 2001

Subject classification(s): Mathematical Economics
Applicable Course(s): 7.4 Applied Statistical Analysis

Linear algebra is used to study financial trading strategies and expectations. Financial conditions are examined via matrix equations, using rank, column space, and null space arguments.

A pdf copy of the article can be viewed by clicking below. Since the copy is a faithful reproduction of the actual journal pages, the article may not begin at the top of the first page.

To open this file please click here.

These pdf files are furnished by JSTOR.

Classroom Capsules would not be possible without the contribution of JSTOR.

JSTOR provides online access to pdf copies of 512 journals, including all three print journals of the Mathematical Association of America: The American Mathematical Monthly, College Mathematics Journal, and Mathematics Magazine. We are grateful for JSTOR's cooperation in providing the pdf pages that we are using for Classroom Capsules.

Capsule Course Topic(s):
Linear Algebra | Bases
Linear Algebra | Linear Independence
Linear Algebra | Matrix Algebra
Linear Algebra | Span
Linear Algebra | Vector Spaces, Subspaces

Linear Algebra in the Financial World (2024)
Top Articles
Latest Posts
Article information

Author: Cheryll Lueilwitz

Last Updated:

Views: 6147

Rating: 4.3 / 5 (54 voted)

Reviews: 93% of readers found this page helpful

Author information

Name: Cheryll Lueilwitz

Birthday: 1997-12-23

Address: 4653 O'Kon Hill, Lake Juanstad, AR 65469

Phone: +494124489301

Job: Marketing Representative

Hobby: Reading, Ice skating, Foraging, BASE jumping, Hiking, Skateboarding, Kayaking

Introduction: My name is Cheryll Lueilwitz, I am a sparkling, clean, super, lucky, joyous, outstanding, lucky person who loves writing and wants to share my knowledge and understanding with you.