What are the best books on quantitative finance?

Out of the 25 best quantitative finance programs in the world, four Universities posted their suggested reading lists online.

These four were:

  • Carnegie Mellon
  • Columbia University
  • Boston University
  • University of Waterloo

The books that made at least two of the reading lists, included:

If you’re looking for the best books on quantitative finance, the books above are a great start.


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Want to dive deeper?

See reach reading list in its entirety below. Or, check out which investing books were most recommended by today’s top investors.

Note: While there are differences between the terms quantitative finance, computational finance, mathematical finance and financial engineering, for this article the terms were combined. 

Carnegie Mellon Quantitative Finance Reading List

Regarded as one of the top computational finance courses today, Carnegie Mellon recommends the following books for students wanting to learn more about quantitative finance.

Columbia University Financial Engineering Reading List

Ranked 2nd out of Quantnet’s list of top financial engineering programs, the recommended reading list for incoming students was recently posted on the Quantnet forums.

General Background

Quantitative Background

Misc. books on Quantitative Methods

Best Books on Quantitative Finance: Boston University Mathematical Finance

Ranked 12th on Quantnet, incoming students are suggested to read the following books.

APPLIED MATHEMATICS

COMPUTER SCIENCE

University of Waterloo Quantitative Finance | Best Books on Quantitative Finance

Ranked # 14 on Quantnet, University of Waterloo Quantitative Finance lists the following books as recommended reading for perspective students.

Finance

Probability and Statistics

Econometrics

Real Analysis

Calculus

  • Calculus by J. Stewart: Calculus, 7th Edition

Linear Algebra

C++

Python

MATLAB

R

Excel/VBA

General Readings in Finance

Interview Preparation Readings