Risk Neutral Pricing and Financial Mathematics
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Risk Neutral Pricing and Financial Mathematics : A Primer

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Description

Risk Neutral Pricing and Financial Mathematics: A Primer provides a foundation to financial mathematics for those whose undergraduate quantitative preparation does not extend beyond calculus, statistics, and linear math. It covers a broad range of foundation topics related to financial modeling, including probability, discrete and continuous time and space valuation, stochastic processes, equivalent martingales, option pricing, and term structure models, along with related valuation and hedging techniques. The joint effort of two authors with a combined 70 years of academic and practitioner experience, Risk Neutral Pricing and Financial Mathematics takes a reader from learning the basics of beginning probability, with a refresher on differential calculus, all the way to Doob-Meyer, Ito, Girsanov, and SDEs. It can also serve as a useful resource for actuaries preparing for Exams FM and MFE (Society of Actuaries) and Exams 2 and 3F (Casualty Actuarial Society).
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Product details

  • Paperback | 348 pages
  • 152 x 229 x 26mm | 505g
  • Academic Press Inc
  • San Diego, United States
  • English
  • 0128015349
  • 9780128015346
  • 1,389,963

Table of contents

Introduction and Overview
Probability and Risk
Discrete Time and State Models
Continuous Time and State Models
An Introduction to Stochastic Processes and Applications
Fundamentals of Stochastic Calculus and Black-Scholes
Further Applications of Black-Scholes
Mean-Reverting Processes
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Review Text

"A self-contained and well-balanced financial modeling textbook ideally suitable for both business school and engineering school. It also offers an intuitive and applied orientation approach for professional training and self-study." --K.C. Chang, George Mason University?
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Review quote

"A self-contained and well-balanced financial modeling textbook ideally suitable for both business school and engineering school. It also offers an intuitive and applied orientation approach for professional training and self-study." --K.C. Chang, George Mason Universityâ
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About Peter M. Knopf

Peter Knopf obtained his Ph.D. from Cornell University and subsequently taught at Texas A&M University and Rutgers University. He is currently Professor of Mathematics at Pace University. He has numerous research publications in both pure and applied mathematics. His recent research interests have been in the areas of difference equations and stochastic delay equation models for pricing securities. John Teall is a visiting professor at LUISS Business School in Rome, Italy. He is a former member of the American Stock Exchange and has served as a consultant to Deutsche Bank, Goldman Sachs, and other financial institutions.
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