Limit search to available items
Book Cover
E-book
Author Gulisashvili, Archil

Title Analytically tractable stochastic stock price models / Archil Gulisashvili
Published Berlin ; New York : Springer, ©2012

Copies

Description 1 online resource
Series Springer finance, 1616-0533
Springer finance
Contents Volatility Processes -- Stock Price Models with Stochastic Volatility -- Realized Volatility and Mixing Distributions -- Integral Transforms of Distribution Densities -- Asymptotic Analysis of Mixing Distributions -- Asymptotic Analysis of Stock Price Distributions -- Regularly Varying Functions and Pareto-Type Distributions -- Asymptotic Analysis of Option Pricing Functions -- Asymptotic Analysis of Implied Volatility -- More Formulas for Implied Volatility -- Implied Volatility in Models Without Moment Explosions
Summary Annotation Asymptotic analysis of stochastic stock price models is the central topic of the present volume. Special examples of such models are stochastic volatility models, that have been developed as an answer to certain imperfections in a celebrated Black-Scholes model of option pricing. In a stock price model with stochastic volatility, the random behavior of the volatility is described by a stochastic process. For instance, in the Hull-White model the volatility process is a geometric Brownian motion, the Stein-Stein model uses an Ornstein-Uhlenbeck process as the stochastic volatility, and in the Heston model a Cox-Ingersoll-Ross process governs the behavior of the volatility. One of the author's main goals is to provide sharp asymptotic formulas with error estimates for distribution densities of stock prices, option pricing functions, and implied volatilities in various stochastic volatility models. The author also establishes sharp asymptotic formulas for the implied volatility at extreme strikes in general stochastic stock price models. The present volume is addressed to researchers and graduate students working in the area of financial mathematics, analysis, or probability theory. The reader is expected to be familiar with elements of classical analysis, stochastic analysis and probability theory
Analysis Mathematics
Global analysis (Mathematics)
Distribution (Probability theory)
Quantitative Finance
Analysis
Probability Theory and Stochastic Processes
wiskunde
analyse
approximaties
approximations
waarschijnlijkheidstheorie
probability theory
stochastische processen
stochastic processes
toegepaste wiskunde
applied mathematics
finance
Mathematics (General)
Wiskunde (algemeen)
Bibliography Includes bibliographical references and index
Notes English
Subject Stocks -- Prices -- Mathematical models
BUSINESS & ECONOMICS -- Investments & Securities -- Stocks.
Stocks -- Prices -- Mathematical models.
Genre/Form Electronic books
Form Electronic book
ISBN 9783642312144
3642312144
3642312136
9783642312137