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  • Book
  • © 2012

Analytically Tractable Stochastic Stock Price Models

  • Comprehensive in scope
  • Results discussed appear for the first time in a mathematical monograph
  • Unique source of information about analytically tractable stochastic volatility models?
  • Includes supplementary material: sn.pub/extras

Part of the book series: Springer Finance (FINANCE)

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Table of contents (11 chapters)

  1. Front Matter

    Pages I-XVII
  2. Volatility Processes

    • Archil Gulisashvili
    Pages 1-36
  3. Stock Price Models with Stochastic Volatility

    • Archil Gulisashvili
    Pages 37-65
  4. Realized Volatility and Mixing Distributions

    • Archil Gulisashvili
    Pages 67-75
  5. Integral Transforms of Distribution Densities

    • Archil Gulisashvili
    Pages 77-108
  6. Asymptotic Analysis of Mixing Distributions

    • Archil Gulisashvili
    Pages 109-166
  7. Asymptotic Analysis of Stock Price Distributions

    • Archil Gulisashvili
    Pages 167-199
  8. Asymptotic Analysis of Option Pricing Functions

    • Archil Gulisashvili
    Pages 227-242
  9. Asymptotic Analysis of Implied Volatility

    • Archil Gulisashvili
    Pages 243-272
  10. More Formulas for Implied Volatility

    • Archil Gulisashvili
    Pages 273-314
  11. Implied Volatility in Models Without Moment Explosions

    • Archil Gulisashvili
    Pages 315-345
  12. Back Matter

    Pages 347-359

About this book

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.

Authors and Affiliations

  • Department of Mathematics, Ohio University, Athens, USA

    Archil Gulisashvili

About the author

Archil Gulisashvili received his Ph.D. degree and Doctor of Science degree from the Tbilisi State University in Tbilisi, Georgia. Currently he is a Professor of Mathematics at Ohio University. Prior to joining Ohio University, he has held visiting positions at Boston University, Cornell University, and Howard University. His research interests include financial mathematics, Schrödinger semigroups, Feynman-Kac propagators, and Fourier analysis.

Bibliographic Information

Buy it now

Buying options

eBook USD 49.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 64.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 89.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access