Building upon the ideas introduced in their previous book, Derivatives in Financial Markets with Stochastic Volatility, the authors study the pricing and hedging of financial derivatives under stochastic volatility in equity, interest-rate, and credit markets. They present and analyze multiscale sto
Advanced Equity Derivatives: Volatility and Correlation
β Scribed by Sebastien Bossu, Peter Carr
- Publisher
- Wiley
- Year
- 2014
- Tongue
- English
- Leaves
- 172
- Series
- Wiley Finance
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
In Advanced Equity Derivatives: Volatility and Correlation, SΓ©bastien Bossu reviews and explains the advanced concepts used for pricing and hedging equity exotic derivatives.Β Designed for financial modelers, option traders and sophisticated investors, the content covers the most important theoretical and practical extensions of the Black-Scholes model.
Each chapter includes numerous illustrations and a short selection of problems, covering key topics such as implied volatility surface models, pricing with implied distributions, local volatility models, volatility derivatives, correlation measures, correlation trading, local correlation models and stochastic correlation.
The author has a dual professional and academic background, making Advanced Equity Derivatives: Volatility and Correlation the perfect reference for quantitative researchers and mathematically savvy finance professionals looking to acquire an in-depth understanding of equity exotic derivatives pricing and hedging.
π SIMILAR VOLUMES
"What is at stake is not some obscure academic point, but lies at the very heart of option pricing, and will inform the usersβ decisions insofar as their choice of pricing model is concerned." From the Introduction In his new book, Riccardo Rebonato introduces financial professionals to the practica
This publication aims to fill the void between books providing an introduction to derivatives, and advanced books whose target audience are members of quantitative modelling community. <br> In order to appeal to the widest audience, this publication tries to assume the least amount of prior know