9781439871683-143987168X-Quantitative Finance: A Simulation-Based Introduction Using Excel

Quantitative Finance: A Simulation-Based Introduction Using Excel

ISBN-13: 9781439871683
ISBN-10: 143987168X
Edition: 1
Author: Matt Davison
Publication date: 2014
Publisher: Chapman and Hall/CRC
Format: Hardcover 532 pages
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Book details

ISBN-13: 9781439871683
ISBN-10: 143987168X
Edition: 1
Author: Matt Davison
Publication date: 2014
Publisher: Chapman and Hall/CRC
Format: Hardcover 532 pages

Summary

Acknowledged authors Matt Davison wrote Quantitative Finance: A Simulation-Based Introduction Using Excel comprising 532 pages back in 2014. Textbook and eTextbook are published under ISBN 143987168X and 9781439871683. Since then Quantitative Finance: A Simulation-Based Introduction Using Excel textbook was available to sell back to BooksRun online for the top buyback price or rent at the marketplace.

Description

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.

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