Quantitative Finance: A Simulation-Based Introduction Using Excel

Davison, Matt

ISBN 10: 143987168X / ISBN 13: 9781439871683

Published by Chapman and Hall/CRC, 2014

About this Item

Octavo in glossy pictorial boards. Light rubbing to boards, rear board covered in fine scratches that do not obscure text; interior clean and crisp. 8vo - over 7¾ - 9¾" tall.

Seller Inventory # 10185

Bibliographic Details

• Title: Quantitative Finance: A Simulation-Based Introduction Using Excel
• Publisher: Chapman and Hall/CRC
• Publication Date: 2014
• Language: English
• ISBN 10: 143987168X
• ISBN 13: 9781439871683
• Binding: Hardcover
• Edition: 1st Edition.
• Condition: Very Good
• Seller catalogs:
  • Science

About this title

Synopsis

Teach Your Students How to Become Successful Working Quants

Quantitative Finance: A Simulation-Based Introduction Using Excel provides an introduction to financial mathematics for students in applied mathematics, financial engineering, actuarial science, and business administration. The text not only enables students to practice with the basic techniques of financial mathematics, but it also helps them gain significant intuition about what the techniques mean, how they work, and what happens when they stop working.

After introducing risk, return, decision making under uncertainty, and traditional discounted cash flow project analysis, the book covers mortgages, bonds, and annuities using a blend of Excel simulation and difference equation or algebraic formalism. It then looks at how interest rate markets work and how to model bond prices before addressing mean variance portfolio optimization, the capital asset pricing model, options, and value at risk (VaR). The author next focuses on binomial model tools for pricing options and the analysis of discrete random walks. He also introduces stochastic calculus in a nonrigorous way and explains how to simulate geometric Brownian motion. The text proceeds to thoroughly discuss options pricing, mostly in continuous time. It concludes with chapters on stochastic models of the yield curve and incomplete markets using simple discrete models.

Accessible to students with a relatively modest level of mathematical background, this book will guide your students in becoming successful quants. It uses both hand calculations and Excel spreadsheets to analyze plenty of examples from simple bond portfolios. The spreadsheets are available on the book’s CRC Press web page.

About the Author

Matt Davison is an associate dean (administration) in the Faculty of Science and a professor of statistical and actuarial sciences at the University of Western Ontario. Dr. Davison holds the Canada Research Chair in Quantitative Finance.