Problems and Solutions in Mathematical Finance: Stochastic Calculus

Höfundur Eric Chin; Sverrir ?lafsson; Dian Nel

Útgefandi Wiley Professional, Reference & Trade (Wiley K&L)

Snið ePub

Print ISBN 9781119965831

Útgáfa 1

Höfundarréttur 2014

6.490 kr.

Description

Efnisyfirlit

  • Title Page
  • Copyright
  • Dedication
  • Preface
  • Prologue
  • In The Beginning Was The Motion…
  • About the Authors
  • Chapter 1: General Probability Theory
  • 1.1 Introduction
  • 1.2 Problems and Solutions
  • Chapter 2: Wiener Process
  • 2.1 Introduction
  • 2.2 Problems and Solutions
  • Chapter 3: Stochastic Differential Equations
  • 3.1 Introduction
  • 3.2 Problems and Solutions
  • Chapter 4: Change of Measure
  • 4.1 Introduction
  • 4.2 Problems and Solutions
  • Chapter 5: Poisson Process
  • 5.1 Introduction
  • 5.2 Problems and Solutions
  • Appendix A: Mathematics Formulae
  • Indices
  • Surds
  • Exponential and Natural Logarithm
  • Quadratic Equation
  • Binomial Formula
  • Series
  • Summation
  • Trigonometric Functions
  • Hyperbolic Functions
  • Complex Numbers
  • Derivatives
  • Standard Differentiations
  • Taylor Series
  • Maclaurin Series
  • Landau Symbols and Asymptotics
  • L’Hospital Rule
  • Indefinite Integrals
  • Standard Indefinite Integrals
  • Definite Integrals
  • Derivatives of Definite Integrals
  • Integration by Parts
  • Integration by Substitution
  • Gamma Function
  • Beta Function
  • Convex Function
  • Dirac Delta Function
  • Heaviside Step Function
  • Fubini’s Theorem
  • Appendix B: Probability Theory Formulae
  • Probability Concepts
  • Bayes’ Rule
  • Indicator Function
  • Discrete Random Variables
  • Univariate Case
  • Bivariate Case
  • Continuous Random Variables
  • Univariate Case
  • Bivariate Case
  • Properties of Expectation and Variance
  • Properties of Moment Generating and Characteristic Functions
  • Correlation Coefficient
  • Convolution
  • Discrete Distributions
  • Continuous Distributions
  • Integrable and Square Integrable Random Variables
  • Convergence of Random Variables
  • Relationship Between Modes of Convergence
  • Dominated Convergence Theorem
  • Monotone Convergence Theorem
  • The Weak Law of Large Numbers
  • The Strong Law of Large Numbers
  • The Central Limit Theorem
  • Appendix C: Differential Equations Formulae
  • Separable Equations
  • First-Order Ordinary Differential Equations
  • Second-Order Ordinary Differential Equations
  • Homogeneous Heat Equations
  • Stochastic Differential Equations
  • Black–Scholes Model
  • Black Model
  • Garman–Kohlhagen Model
  • Bibliography
  • Notation
  • Set Notation
  • Mathematical Notation
  • Probability Notation
  • Index
  • End User License Agreement

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