Risk Neutral Pricing and Financial Mathematics

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). Includes more subjects than other books, including probability, discrete and continuous time and space valuation, stochastic processes, equivalent martingales, option pricing, term structure models, valuation, and hedging techniques Emphasizes introductory financial engineering, financial modeling, and financial mathematics Suited for corporate training programs and professional association certification programs

Produk Detail:

  • Author : Peter M. Knopf
  • Publisher : Elsevier
  • Pages : 348 pages
  • ISBN : 0128017279
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKRisk Neutral Pricing and Financial Mathematics

Risk Neutral Pricing and Financial Mathematics

Risk Neutral Pricing and Financial Mathematics
  • Author : Peter M. Knopf,John L. Teall
  • Publisher : Elsevier
  • Release : 29 July 2015
GET THIS BOOKRisk Neutral Pricing and Financial Mathematics

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

Risk-Neutral Valuation

Risk-Neutral Valuation
  • Author : Nicholas H. Bingham,Rudiger Kiesel
  • Publisher : Springer Science & Business Media
  • Release : 29 June 2013
GET THIS BOOKRisk-Neutral Valuation

With a simple approach accessible to a wide audience, this book aims for the heart of mathematical finance: the fundamental formula of arbitrage pricing theory. This method of pricing discounts everything and takes expected values under the equivalent martingale measure. The authors approach is simple and excludes unnecessary proofs of measure-theoretic probability, instead, it favors techniques and examples of proven interest to financial practitioners.

Financial Mathematics

Financial Mathematics
  • Author : Giuseppe Campolieti,Roman N. Makarov
  • Publisher : CRC Press
  • Release : 12 March 2014
GET THIS BOOKFinancial Mathematics

Versatile for Several Interrelated Courses at the Undergraduate and Graduate Levels Financial Mathematics: A Comprehensive Treatment provides a unified, self-contained account of the main theory and application of methods behind modern-day financial mathematics. Tested and refined through years of the authors’ teaching experiences, the book encompasses a breadth of topics, from introductory to more advanced ones. Accessible to undergraduate students in mathematics, finance, actuarial science, economics, and related quantitative areas, much of the text covers essential material for core curriculum

Financial Mathematics, Derivatives and Structured Products

Financial Mathematics, Derivatives and Structured Products
  • Author : Raymond H. Chan,Yves ZY. Guo,Spike T. Lee,Xun Li
  • Publisher : Springer
  • Release : 27 February 2019
GET THIS BOOKFinancial Mathematics, Derivatives and Structured Products

This book introduces readers to the financial markets, derivatives, structured products and how the products are modelled and implemented by practitioners. In addition, it equips readers with the necessary knowledge of financial markets needed in order to work as product structurers, traders, sales or risk managers. As the book seeks to unify the derivatives modelling and the financial engineering practice in the market, it will be of interest to financial practitioners and academic researchers alike. Further, it takes a different

Nonlinear Option Pricing

Nonlinear Option Pricing
  • Author : Julien Guyon,Pierre Henry-Labordere
  • Publisher : CRC Press
  • Release : 19 December 2013
GET THIS BOOKNonlinear Option Pricing

New Tools to Solve Your Option Pricing Problems For nonlinear PDEs encountered in quantitative finance, advanced probabilistic methods are needed to address dimensionality issues. Written by two leaders in quantitative research—including Risk magazine’s 2013 Quant of the Year—Nonlinear Option Pricing compares various numerical methods for solving high-dimensional nonlinear problems arising in option pricing. Designed for practitioners, it is the first authored book to discuss nonlinear Black-Scholes PDEs and compare the efficiency of many different methods. Real-World Solutions for

C++ for Financial Mathematics

C++ for Financial Mathematics
  • Author : John Armstrong
  • Publisher : CRC Press
  • Release : 06 January 2017
GET THIS BOOKC++ for Financial Mathematics

If you know a little bit about financial mathematics but don’t yet know a lot about programming, then C++ for Financial Mathematics is for you. C++ is an essential skill for many jobs in quantitative finance, but learning it can be a daunting prospect. This book gathers together everything you need to know to price derivatives in C++ without unnecessary complexities or technicalities. It leads the reader step-by-step from programming novice to writing a sophisticated and flexible financial mathematics

Financial Mathematics

Financial Mathematics
  • Author : Giuseppe Campolieti,Roman N. Makarov
  • Publisher : CRC Press
  • Release : 24 October 2018
GET THIS BOOKFinancial Mathematics

Versatile for Several Interrelated Courses at the Undergraduate and Graduate Levels Financial Mathematics: A Comprehensive Treatment provides a unified, self-contained account of the main theory and application of methods behind modern-day financial mathematics. Tested and refined through years of the authors’ teaching experiences, the book encompasses a breadth of topics, from introductory to more advanced ones. Accessible to undergraduate students in mathematics, finance, actuarial science, economics, and related quantitative areas, much of the text covers essential material for core curriculum

Actuarial Finance

Actuarial Finance
  • Author : Mathieu Boudreault,Jean-François Renaud
  • Publisher : John Wiley & Sons
  • Release : 22 March 2019
GET THIS BOOKActuarial Finance

A new textbook offering a comprehensive introduction to models and techniques for the emerging field of actuarial Finance Drs. Boudreault and Renaud answer the need for a clear, application-oriented guide to the growing field of actuarial finance with this volume, which focuses on the mathematical models and techniques used in actuarial finance for the pricing and hedging of actuarial liabilities exposed to financial markets and other contingencies. With roots in modern financial mathematics, actuarial finance presents unique challenges due to

Stochastic Models of Financial Mathematics

Stochastic Models of Financial Mathematics
  • Author : Vigirdas Mackevicius
  • Publisher : Elsevier
  • Release : 08 November 2016
GET THIS BOOKStochastic Models of Financial Mathematics

This book presents a short introduction to continuous-time financial models. An overview of the basics of stochastic analysis precedes a focus on the Black-Scholes and interest rate models. Other topics covered include self-financing strategies, option pricing, exotic options and risk-neutral probabilities. Vasicek, Cox-Ingersoll-Ross, and Heath-Jarrow-Morton interest rate models are also explored. The author presents practitioners with a basic introduction, with more rigorous information provided for mathematicians. The reader is assumed to be familiar with the basics of probability theory. Some

C++ for Financial Mathematics

C++ for Financial Mathematics
  • Author : John Armstrong
  • Publisher : CRC Press
  • Release : 06 January 2017
GET THIS BOOKC++ for Financial Mathematics

If you know a little bit about financial mathematics but don’t yet know a lot about programming, then C++ for Financial Mathematics is for you. C++ is an essential skill for many jobs in quantitative finance, but learning it can be a daunting prospect. This book gathers together everything you need to know to price derivatives in C++ without unnecessary complexities or technicalities. It leads the reader step-by-step from programming novice to writing a sophisticated and flexible financial mathematics

An Introduction to the Mathematics of Financial Derivatives

An Introduction to the Mathematics of Financial Derivatives
  • Author : Salih N. Neftci,Ali Hirsa,Salih N.. Neftci
  • Publisher : Academic Press
  • Release : 02 June 2000
GET THIS BOOKAn Introduction to the Mathematics of Financial Derivatives

A step-by-step explanation of the mathematical models used to price derivatives. For this second edition, Salih Neftci has expanded one chapter, added six new ones, and inserted chapter-concluding exercises. He does not assume that the reader has a thorough mathematical background. His explanations of financial calculus seek to be simple and perceptive.

Mathematics for Finance

Mathematics for Finance
  • Author : Marek Capinski,Tomasz Zastawniak
  • Publisher : Springer
  • Release : 18 April 2006
GET THIS BOOKMathematics for Finance

This textbook contains the fundamentals for an undergraduate course in mathematical finance aimed primarily at students of mathematics. Assuming only a basic knowledge of probability and calculus, the material is presented in a mathematically rigorous and complete way. The book covers the time value of money, including the time structure of interest rates, bonds and stock valuation; derivative securities (futures, options), modelling in discrete time, pricing and hedging, and many other core topics. With numerous examples, problems and exercises, this

Introduction to the Economics and Mathematics of Financial Markets

Introduction to the Economics and Mathematics of Financial Markets
  • Author : Jakša Cvitanić,Fernando Zapatero
  • Publisher : MIT Press
  • Release : 25 January 2021
GET THIS BOOKIntroduction to the Economics and Mathematics of Financial Markets

An innovative textbook for use in advanced undergraduate and graduate courses; accessible to students in financial mathematics, financial engineering and economics. Introduction to the Economics and Mathematics of Financial Markets fills the longstanding need for an accessible yet serious textbook treatment of financial economics. The book provides a rigorous overview of the subject, while its flexible presentation makes it suitable for use with different levels of undergraduate and graduate students. Each chapter presents mathematical models of financial problems at three

Financial Derivatives

Financial Derivatives
  • Author : Jamil Baz,George Chacko
  • Publisher : Cambridge University Press
  • Release : 12 January 2004
GET THIS BOOKFinancial Derivatives

This book offers a complete, succinct account of the principles of financial derivatives pricing. The first chapter provides readers with an intuitive exposition of basic random calculus. Concepts such as volatility and time, random walks, geometric Brownian motion, and Ito's lemma are discussed heuristically. The second chapter develops generic pricing techniques for assets and derivatives, determining the notion of a stochastic discount factor or pricing kernel, and then uses this concept to price conventional and exotic derivatives. The third chapter