Uncertain Volatility Models

Uncertain Volatility Models
Author: Robert Buff
Publisher: Springer Science & Business Media
Total Pages: 246
Release: 2012-12-06
Genre: Mathematics
ISBN: 3642563236

This is one of the only books to describe uncertain volatility models in mathematical finance and their computer implementation for portfolios of vanilla, barrier and American options in equity and FX markets. Uncertain volatility models place subjective constraints on the volatility of the stochastic process of the underlying asset and evaluate option portfolios under worst- and best-case scenarios. This book, which is bundled with software, is aimed at graduate students, researchers and practitioners who wish to study advanced aspects of volatility risk in portfolios of vanilla and exotic options. The reader is assumed to be familiar with arbitrage pricing theory.

Asymptotic Behavior of Worst Case Scenario Prices in Uncertain Volatility Models

Asymptotic Behavior of Worst Case Scenario Prices in Uncertain Volatility Models
Author: Bin Ren
Publisher:
Total Pages: 112
Release: 2013
Genre:
ISBN: 9781303052712

We mainly study the asymptotic behavior of the worst case scenario option prices as the volatility interval in an uncertain volatility model (UVM) degenerates to a single point, and then provide an approximation procedure for the worst case scenario prices in a UVM with small volatility interval. Numerical experiments show that this approximation procedure performs well even as the size of the volatility band is not sosmall.

Stochastic Volatility Modeling

Stochastic Volatility Modeling
Author: Lorenzo Bergomi
Publisher: CRC Press
Total Pages: 520
Release: 2015-12-16
Genre: Business & Economics
ISBN: 1482244071

Packed with insights, Lorenzo Bergomi's Stochastic Volatility Modeling explains how stochastic volatility is used to address issues arising in the modeling of derivatives, including:Which trading issues do we tackle with stochastic volatility? How do we design models and assess their relevance? How do we tell which models are usable and when does c

Analysis of an Uncertain Volatility Model

Analysis of an Uncertain Volatility Model
Author:
Publisher:
Total Pages:
Release: 2004
Genre:
ISBN:

We examine, both from an analytical and numerical viewpoint, the uncertain volatility model by Hobson-Rogers in the framework of degenerate parabolic PDEs of Kolmogorov type.

Nonlinear Option Pricing

Nonlinear Option Pricing
Author: Julien Guyon
Publisher: CRC Press
Total Pages: 480
Release: 2013-12-19
Genre: Business & Economics
ISBN: 1466570342

New Tools to Solve Your Option Pricing ProblemsFor nonlinear PDEs encountered in quantitative finance, advanced probabilistic methods are needed to address dimensionality issues. Written by two leaders in quantitative research-including Risk magazine's 2013 Quant of the Year-Nonlinear Option Pricing compares various numerical methods for solving hi

Derivatives in Financial Markets with Stochastic Volatility

Derivatives in Financial Markets with Stochastic Volatility
Author: Jean-Pierre Fouque
Publisher: Cambridge University Press
Total Pages: 222
Release: 2000-07-03
Genre: Business & Economics
ISBN: 9780521791632

This book, first published in 2000, addresses pricing and hedging derivative securities in uncertain and changing market volatility.