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,Rüdiger Kiesel
  • Publisher : Springer Science & Business Media
  • Release : 29 June 2013
GET THIS BOOKRisk-Neutral Valuation

This second edition - completely up to date with new exercises - provides a comprehensive and self-contained treatment of the probabilistic theory behind the risk-neutral valuation principle and its application to the pricing and hedging of financial derivatives. On the probabilistic side, both discrete- and continuous-time stochastic processes are treated, with special emphasis on martingale theory, stochastic integration and change-of-measure techniques. Based on firm probabilistic foundations, general properties of discrete- and continuous-time financial market models are discussed.

Risk-Neutral Valuation

Risk-Neutral Valuation
  • Author : Nicholas H. Bingham,Rüdiger Kiesel
  • Publisher : Springer Science & Business Media
  • Release : 04 May 2004
GET THIS BOOKRisk-Neutral Valuation

This text presents a comprehensive, self-contained treatment of the probabilistic theory behind the risk-neutral valuation principle and its application to the pricing and hedging of financial derivatives. Both discrete- and continuous-time stochastic processes are treated, with special emphasis on martingale theory, stochastic integration and change-of-measure techniques. This edition has been heavily updated with new material and exercises.

A Benchmark Approach to Quantitative Finance

A Benchmark Approach to Quantitative Finance
  • Author : Eckhard Platen,David Heath
  • Publisher : Springer Science & Business Media
  • Release : 28 October 2006
GET THIS BOOKA Benchmark Approach to Quantitative Finance

A framework for financial market modeling, the benchmark approach extends beyond standard risk neutral pricing theory. It permits a unified treatment of portfolio optimization, derivative pricing, integrated risk management and insurance risk modeling. This book presents the necessary mathematical tools, followed by a thorough introduction to financial modeling under the benchmark approach, explaining various quantitative methods for the fair pricing and hedging of derivatives.

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

Risk-neutral Valuation

Risk-neutral Valuation
  • Author : N. H. Bingham,Rüdiger Kiesel
  • Publisher : Springer Verlag
  • Release : 24 June 1998
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, 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

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

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

Introduction to Probability and Stochastic Processes with Applications

Introduction to Probability and Stochastic Processes with Applications
  • Author : Liliana Blanco Castañeda,Viswanathan Arunachalam,Selvamuthu Dharmaraja
  • Publisher : John Wiley & Sons
  • Release : 21 August 2014
GET THIS BOOKIntroduction to Probability and Stochastic Processes with Applications

An easily accessible, real-world approach to probability andstochastic processes Introduction to Probability and Stochastic Processes withApplications presents a clear, easy-to-understand treatment ofprobability and stochastic processes, providing readers with asolid foundation they can build upon throughout their careers. Withan emphasis on applications in engineering, applied sciences,business and finance, statistics, mathematics, and operationsresearch, the book features numerous real-world examples thatillustrate how random phenomena occur in nature and how to useprobabilistic techniques to accurately model these phenomena. The authors discuss a broad

Stochastic Calculus for Finance I

Stochastic Calculus for Finance I
  • Author : Steven Shreve
  • Publisher : Springer Science & Business Media
  • Release : 28 June 2005
GET THIS BOOKStochastic Calculus for Finance I

Developed for the professional Master's program in Computational Finance at Carnegie Mellon, the leading financial engineering program in the U.S. Has been tested in the classroom and revised over a period of several years Exercises conclude every chapter; some of these extend the theory while others are drawn from practical problems in quantitative finance

Mathematical Models of Financial Derivatives

Mathematical Models of Financial Derivatives
  • Author : Yue-Kuen Kwok
  • Publisher : Springer Science & Business Media
  • Release : 10 July 2008
GET THIS BOOKMathematical Models of Financial Derivatives

This second edition, now featuring new material, focuses on the valuation principles that are common to most derivative securities. A wide range of financial derivatives commonly traded in the equity and fixed income markets are analysed, emphasising aspects of pricing, hedging and practical usage. This second edition features additional emphasis on the discussion of Ito calculus and Girsanovs Theorem, and the risk-neutral measure and equivalent martingale pricing approach. A new chapter on credit risk models and pricing of credit derivatives

Introductory Course on Financial Mathematics

Introductory Course on Financial Mathematics
  • Author : M V Tretyakov
  • Publisher : World Scientific Publishing Company
  • Release : 23 July 2013
GET THIS BOOKIntroductory Course on Financial Mathematics

This book is an elementary introduction to the basic concepts of financial mathematics with a central focus on discrete models and an aim to demonstrate simple, but widely used, financial derivatives for managing market risks. Only a basic knowledge of probability, real analysis, ordinary differential equations, linear algebra and some common sense are required to understand the concepts considered in this book. Financial mathematics is an application of advanced mathematical and statistical methods to financial management and markets, with a