Quantitative Finance

Regular price €107.99
Quantity:
In stock with our UK publisher. 14-28 days
Delivery/Collection within 10-20 working days
14 days return policy Shipping & Delivery
A01=Matt Davison
analysis of discrete random walks
and annuities
Author_Matt Davison
binomial model tools for pricing options
binomial option pricing
Binomial Tree
Binomial Tree Model
Black Scholes Formula
Black Scholes model
Black Scholes PDE
bonds
capital asset pricing model
Cash Ows
Category=KCH
Category=KF
Category=PBT
Category=PBW
Collateralized Debt Obligations
Coupon Bond
decision making under uncertainty
Delta Hedging
Dierence Equation
discounted cash flow
Early Exercise Boundary
eq_bestseller
eq_business-finance-law
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
European Call Option
European Put
Excel financial analysis
Excel spreadsheets for simulations
Geometric Brownian Motion
Hedge Ratio
how interest rate markets work
how to model bond prices
incomplete markets using simple discrete models
interest rate modelling
introduction to financial mathematics
Ito's Lemma
Ito’s Lemma
managing risk in portfolios
mean variance portfolio optimization
Monte Carlo simulation
mortgages
PDE
Perpetual American Option
Quantitative analysts
Risk Free Rate
Senior Tranche
simulating geometric Brownian motion
Stochastic Calculus
stochastic models of the yield curve
stochastic yield curve modelling
Stock Price
Strike Price
techniques of financial mathematics
value at risk (VaR)
Vasicek Model
Vice Versa
Yield Curve

Product details

  • ISBN 9781439871683
  • Weight: 1150g
  • Dimensions: 156 x 234mm
  • Publication Date: 08 May 2014
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
Secure checkout Fast Shipping Easy returns

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.

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.

More from this author