Skip to Content
Measure, Probability, and Mathematical Finance: A Problem-Oriented Approach
book

Measure, Probability, and Mathematical Finance: A Problem-Oriented Approach

by Guojun Gan, Chaoqun Ma, Hong Xie
April 2014
Intermediate to advanced
744 pages
14h 1m
English
Wiley

Overview

An introduction to the mathematical theory and financial models developed and used on Wall Street

Providing both a theoretical and practical approach to the underlying mathematical theory behind financial models, Measure, Probability, and Mathematical Finance: A Problem-Oriented Approach presents important concepts and results in measure theory, probability theory, stochastic processes, and stochastic calculus. Measure theory is indispensable to the rigorous development of probability theory and is also necessary to properly address martingale measures, the change of numeraire theory, and LIBOR market models. In addition, probability theory is presented to facilitate the development of stochastic processes, including martingales and Brownian motions, while stochastic processes and stochastic calculus are discussed to model asset prices and develop derivative pricing models.

The authors promote a problem-solving approach when applying mathematics in real-world situations, and readers are encouraged to address theorems and problems with mathematical rigor. In addition, Measure, Probability, and Mathematical Finance features:

  • A comprehensive list of concepts and theorems from measure theory, probability theory, stochastic processes, and stochastic calculus

  • Over 500 problems with hints and select solutions to reinforce basic concepts and important theorems

  • Classic derivative pricing models in mathematical finance that have been developed and published since the seminal work of Black and Scholes

  • Measure, Probability, and Mathematical Finance: A Problem-Oriented Approach is an ideal textbook for introductory quantitative courses in business, economics, and mathematical finance at the upper-undergraduate and graduate levels. The book is also a useful reference for readers who need to build their mathematical skills in order to better understand the mathematical theory of derivative pricing models.

    Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
    and much more.

    Read now

    Unlock full access

    More than 5,000 organizations count on O’Reilly

    AirBnbBlueOriginElectronic ArtsHomeDepotNasdaqRakutenTata Consultancy Services

    QuotationMarkO’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.
    Julian F.
    Head of Cybersecurity
    QuotationMarkI wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.
    Addison B.
    Field Engineer
    QuotationMarkI’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.
    Amir M.
    Data Platform Tech Lead
    QuotationMarkI'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
    Mark W.
    Embedded Software Engineer

    You might also like

    Risk Neutral Pricing and Financial Mathematics: A Primer

    Risk Neutral Pricing and Financial Mathematics: A Primer

    Peter M. Knopf, John L. Teall

    Publisher Resources

    ISBN: 9781118831984Purchase book