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Uncertain Volatility Models Theory and Application

Buff, Robert
ISBN-10: 3540426574
ISBN-13: 9783540426578

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This text describes Uncertain Volatility Models in mathematical finance and their computer implementation for portfolios of vanilla, barrier and American options in equity and FX markets.This book introduces 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 such as upper and lower bounds on volatility and evaluate option portfolios under worst- and best-case scenarios. This book is for graduate students, researchers and practitioners who wish to study advanced aspects of volatility risk in portfolios of vanilla and exotic options. The accompanying CD contains the source code of a C++ implementation of the algorithms presented in the book.From the reviews: MATHEMATICAL REVIEWS "The book bridges theory and real-world problems in a clear and pragmatic fashion. It can be useful both for academics and professionals in the financial community." "This book, which comes out of the authors Ph.D. thesis, introduces uncertain volatility models. The formal results are illustrated by many empirical examples. The C++ source code is available on an accompanying CD. The book bridges theory and real-world problems in a clear and pragmatic fashion. It can be useful both for academics and for professionals in the financial community." (Damir Filipovic, Mathematical Reviews, 2003 i) "The book is devoted to the study of uncertain volatility models that evaluate option portfolios . The author travels in this book the entire road from innovative mathematical finance to a working software system . Practitioners and students who need to build analytic software libraries may benefit from reading this book and studying the software. This book is also for graduate students and researchers who wish to study advanced aspects of volatility risk in portfolios of vanilla and exotic options." (Anatoliy Swishchuk, Zentralblatt MATH, Vol. 1004 (4), 2003)This is one of the only books to describe uncertain volatility models in mathematical finance and their computer implementation for portfolios involving vanilla options, barrier options and American options. 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 students, researchers and practitioners who wish to study advanced aspects of volatility risk in portfolios of vanilla and exotic options.
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Introduction
Uncertain Volatility Scenarios and Exotic Options
Volatility Shock Scenarios
Object-Oriented Implementation
User Interfaces: Scripting and Mathematica
How to Best Read This Book
Computational Finance: Theory
Notation and Basic Definitions
Linear Algebra
Probability and Stochastic Processes
Partial Portfolios and Positions
Accents, Superscript, Subscript
Continuous Time Finance
Deterministic Volatility
One-Factor Black-Scholes Analysis
Hedging with Black-Scholes
Interest Rate Models
Stochastic Volatility
Tradable and Nontradable Factors
Some Concrete One-Dimensional Models
Model Calibration
Parametric Methods
Non-Parametric Methods
Scenario-Based Evaluation and Uncertainty
Preliminaries
The Worst-Case Volatility Scenario
Worst-Case Pricing
The Optimal Hedge Portfolio
Calibration to the Worst Case
Minimum-Entropy Calibration
Scenarios and Nonlinearity
Algorithms for Uncertain Volatility Models
A Lattice Framework
Multi-Lattice Dynamic Programming
Data Structures
Dataflow for Explicit Methods
Dataflow for Mixed Explicit/Implicit Methods
Numerical Issues
Algorithms for Vanilla Options
Algorithms for Barrier Options
The Hierarchy of PDE�s
Construction
Complexity
Empirical Results
Numerical Convergence
Introducing Uncertainty
Algorithms for American Options
Early Exercise Combinations
Long and Short Positions
Best Worst-Case Evaluation Formalized
Speedup Techniques
Maintaining the Corridor of Uncertainty
Collapsing the Corridor of Uncertainty
Miscellaneous Issues
Empirical Results
Computational Complexity
Stress Tests
American Options and Calibration
Exotic Volatility Scenarios
Volatility Shocks for Portfolios of Vanilla Options
Worst-Case Volatility Shocks
Empirical Results
Volatility Shocks and Exotic Options
Object-Oriented Implementation
The Architecture of Mtg
The Class Hierarchy of MtgLib-External
Instruments
Portfolios
Models
Model Coefficients
The Base Class tTermStruct
Classes Derived from tTermStruct
Classes with tTermStruct Components
Scenarios
The Base Class tScenario
Classes Derived from tScenario
Numerical Methods
Lattice Templates and Instances
Finite Difference Solvers
Evaluators
The Class Hierarchy of MtgLib-Internal
Compute Engines
The Abstract Class tEngine
The Abstract Class tFDEngine
The Abstract Class tOFEngine
The Concrete Class tGeoEngine
The Concrete Class tShockEngine
Other Groups of Classes
Extensions for Monte-Carlo Pricing and Calibration
The Network Application MtgClt/MtgSvr
The Scripting Language MtgScript
Factor Objects
Claim and Portfolio Objects
Model, Drift and Volatility Objects
Lattice and Path Space Objects
Bootstrapping, Curve and Image Objects
Scenario and Optimizer Objects
Evaluation Objects and Examples
Mathematica Extensions
The Syntax of Object Expressions
Turning Scripts into Functions
Profiling and Diagrams
References
Index


Edition: 2002
Publisher: Springer
Binding: Mixed Media
Pages: 244
Size: 6.00" wide x 9.25" long x 0.50" tall
Weight: 0.88 lbs.
Language: English

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