Handbook of Heavy Tailed Distributions in Finance: Handbooks in Finance, Book 1

Front Cover
S.T Rachev
Elsevier, Mar 5, 2003 - Business & Economics - 704 pages
The Handbooks in Finance are intended to be a definitive source for comprehensive and accessible information in the field of finance. Each individual volume in the series should present an accurate self-contained survey of a sub-field of finance, suitable for use by finance and economics professors and lecturers, professional researchers, graduate students and as a teaching supplement. The goal is to have a broad group of outstanding volumes in various areas of finance. The Handbook of Heavy Tailed Distributions in Finance is the first handbook to be published in this series.



This volume presents current research focusing on heavy tailed distributions in finance. The contributions cover methodological issues, i.e., probabilistic, statistical and econometric modelling under non- Gaussian assumptions, as well as the applications of the stable and other non -Gaussian models in finance and risk management.

 

Contents

Chapter 2 Financial Risk and Heavy Tails
35
Chapter 3 Modeling Financial Data with Stable Distributions
105
Chapter 4 Statistical Issues in Modeling Multivariate Stable Portfolios
131
Chapter 5 JumpDiffusion Models
169
Chapter 6 Hyperbolic Processes in Finance
211
Chapter 7 Stable Modeling of Market and Credit Value at Risk
249
Chapter 8 Modelling Dependence with Copulas and Applications to Risk Management
329
Chapter 9 Prediction of Financial DownsideRisk with HeavyTailed Conditional Distributions
385
Maximum Entropy Approach and Lévy Processes
443
Chapter 12 Modelling the Term Structure of Monetary Rates
481
A Review and Some New Results in the Presence of Heavy Tails
509
Chapter 14 Portfolio Choice Theory with NonGaussian Distributed Returns
547
Chapter 15 Portfolio Modeling with Heavy Tailed Random Vectors
595
Chapter 16 Long Range Dependence in Heavy Tailed Stochastic Processes
641
Author Index
663
Subject Index
675

Chapter 10 Stable NonGaussian Models for Credit Risk Management
405

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