Elements of Stochastic Processes: A Computational Approach by Professor C. Douglas Howard, the coordinator of the Financial Mathematics major at Baruch College, City University of New York, and a faculty member in the Baruch MFE Program, was published in November 2017.
This is an advanced undergraduate text on the fundamental probabilistic models that arise in many diverse applications. The presentation of these models is “computational” in the sense that it is easily adapted to computerbased Monte Carlo simulation. A guiding principle was to be rigorous without the use of measure theory.
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Table of Contents
An Interacting Particle System
Random Walks in Two Dimensions
Itô’s Formula for Brownian Motion
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 A Primer for the Mathematics of Financial Engineering
 A Linear Algebra Primer for Financial Engineering
 Elements of Stochastic Processes: A Computational Approach

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 A Primer for the Mathematics of Financial Engineering
 Solutions Manual – A Primer for the Mathematics of Financial Engineering
 A Linear Algebra Primer for Financial Engineering
 Solutions Manual – A Numerical Linear Algebra Primer for Financial Engineering
 Elements of Stochastic Processes: A Computational Approach

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 A Primer for the Mathematics of Financial Engineering
 Solutions Manual – A Primer for the Mathematics of Financial Engineering
 A Linear Algebra Primer for Financial Engineering
 Solutions Manual – A Numerical Linear Algebra Primer for Financial Engineering
 150 Most Frequently Asked Questions on Quant Interviews
 Elements of Stochastic Processes: A Computational Approach

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 A Primer for the Mathematics of Financial Engineering
 Solutions Manual – A Primer for the Mathematics of Financial Engineering
 Elements of Stochastic Processes: A Computational Approach

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 A Linear Algebra Primer for Financial Engineering
 Solutions Manual – A Numerical Linear Algebra Primer for Financial Engineering
 Elements of Stochastic Processes: A Computational Approach

Price: $121.20 (20% discount off list price) 
Click HERE 
Topics:
 Fundamental limit theorems such as the weak and strong laws of large numbers, the central limit theorem, as well as the monotone, dominated, and bounded convergence theorems
 Markov chains with finitely many states
 Random walks in one, two and three dimensions
 Arrival processes and Poisson point processes
 Brownian motion, including basic properties of Brownian paths such as continuity but lack of differentiability
 An introductory look at stochastic calculus including a version of Itô’s formula with applications to finance, and a development of the OrnsteinUhlenbeck process with an application to economics
About the author: Douglas Howard is the coordinator of the bachelor of science major in financial mathematics at Baruch College, City University of New York, where he has taught in the mathematics department for nearly twenty years. He has almost a decade of Wall Street experience involving the application of probabilistic models to the financial markets.
Book Details:
 Softcover: 245 pages
 Publisher: Financial Engineering Press
 List Price: $49.50
 ISBN13: 9780979757679