Monte Carlo simulation with applications to finance

Monte Carlo simulation with applications to finance

by Hui Wang
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(1 votes)

Preface This book can serve as the text for a one-semester course on Monte Carlo simulation.

The intended audience is advanced undergraduate students or students on master's programs who wish to learn the basics of this exciting topic and its applications to finance.

The book is largely self-contained.

The only prerequisite is some experience with probability and statistics.

Prior knowledge on option pricing is helpful but not essential.

As in any study of Monte Carlo simulation, coding is an integral part and cannot be ignored.

The book contains a large number of MATLAB coding exercises.

They are designed in a progressive manner so that no prior experience with MATLAB is required.

Much of the mathematics in the book is informal.

For example, randomvariables are simply defined to be functions on the sample space, even though they should be measurable with respect to appropriate algebras; exchanging the order of integrations is carried out liberally, even though it should be justified by the Tonelli-Fubini Theorem.

The motivation for doing so is to avoid the technical measure theoretic jargon, which is of little concern in practice and does not help much to further the understanding of the topic.

The book is an extension of the lecture notes that I have developed for an undergraduate course on Monte Carlo simulation at Brown University.

I would like to thank the students who have taken the course, as well as the Division of Applied Mathematics at Brown, for their support.

Hui Wang Providence, Rhode Island January, 2012--.

First published
2012
Publishers
CRC Press
Subjects
Mathematical methods·Monte carlo method·Finance·Mathematics·Probability·Statistics·General·Business·Economics·Finance·Mathematics·General

There is another review for this book complain that this book is too hard. I strongly believe it otherwise, because this book is way too simple for anybody who has studied financing engineering.

I took a stochastic simulations class that used this text book. This book is a very good overview of lots of things, but I found it to be difficult.

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