Stochastic Processes with Applications to Finance

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A01=Masaaki Kijima
actuarial mathematics
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Age Group_Uncategorized
Asset Pricing Theory
Author_Masaaki Kijima
automatic-update
Binomial Model
Black Scholes Formula
Call Option
Category1=Non-Fiction
Category=KFF
Category=PBWL
Change Of Measure Technique
Conditional Expectation
Contingent Claim
COP=United States
Cox Process
Credit Derivatives
Default Free Interest Rate
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Developments In The Financial Industry
Discount Bond
Discount Bond Price
Distribution Function
dynamics of credit ratings using Markov chains
eq_bestseller
eq_business-finance-law
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Financial Engineering And Risk Management
financial risk modeling
Forward LIBOR
IID Random Variable
insurance product valuation
Interest Rate Derivatives
Interestrate Term Structure Models
Ito's Formula
Ito’s Formula
Language_English
Leland Model
Markov chain analysis
Mathematical Theory Of Financial Engineering
Merge Of Actuarial Science And Financial Engineering
MGF
Monte Carlo methods
Monte Carlo simulation in financial engineering
Optional Sampling Theorem
PA=Temporarily unavailable
Physical Probability Measure
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pricing of discount bonds
Pricing Of Insurance Products
probability theory applications
probability transforms for pricing insurance risks
PS=Active
results in discrete processes
Risk Neutral Probability
Risk Neutral Probability Measure
softlaunch
Standard Brownian Motion
Stochastic Integral
stochastic modeling for finance professionals
Strike Price
Symmetric Random Walk
The Use Of Copulas In The Pricing Of Cdos
Vasicek Model

Product details

  • ISBN 9781439884829
  • Weight: 860g
  • Dimensions: 156 x 234mm
  • Publication Date: 18 Apr 2013
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
  • Language: English
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Financial engineering has been proven to be a useful tool for risk management, but using the theory in practice requires a thorough understanding of the risks and ethical standards involved. Stochastic Processes with Applications to Finance, Second Edition presents the mathematical theory of financial engineering using only basic mathematical tools that are easy to understand even for those with little mathematical expertise. This second edition covers several important developments in the financial industry.

New to the Second Edition

  • A chapter on the change of measures and pricing of insurance products
  • Many examples of the change of measure technique, including its use in asset pricing theory
  • A section on the use of copulas, especially in the pricing of CDOs
  • Two chapters that offer more coverage of interest rate derivatives and credit derivatives

Exploring the merge of actuarial science and financial engineering, this edition examines how the pricing of insurance products, such as equity-linked annuities, requires knowledge of asset pricing theory since the equity index can be traded in the market. The book looks at the development of many probability transforms for pricing insurance risks, including the Esscher transform. It also describes how the copula model is used to model the joint distribution of underlying assets.

By presenting significant results in discrete processes and showing how to transfer the results to their continuous counterparts, this text imparts an accessible, practical understanding of the subject. It helps readers not only grasp the theory of financial engineering, but also implement the theory in business.

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