"Structured Finance: The Object Orientated Approach" is aimed at both the finance and IT professionals involved in the structured finance business with the intention of sharing common concepts and language within the industry. The financial community (structurers, pricers and risk managers) view structured products as collections of objects under the so-called "replicating portfolio" paradigm. The IT community use object oriented programming (OOP) techniques to improve the software updating and maintenance process. For them structured products are collections of objects as well. Despite use of the same "object" concept, it looks like communication between these different professional functions has been problematic. Recently, construction of standard data structures known as FpML has begun to lay out a common definition of objects, at least for "plain vanilla" derivatives, both between IT and financial people and across different market players. Along this line, this book builds upon the concept of "object" to provide frontier treatment of structured finance issues relevant to both communities engaged in building, pricing and hedging products and people engaged in designing and up-dating the corresponding software.

"Structured Finance: The Object Orientated Approach" will enable you to:

decompose a structured product in elementary constituent financial "objects" and risk factors ("replicating portfolio") understand the basics of object oriented programming (OOP) applied to the design of structured cash flows "objects" build your own "objects" and to understand FpML data structures available for standard products gauge risk exposures of the "objects" in structured products to: risk factors, their volatilities and the correlation among them (which factor are you long/short? Are you long/short volatility? Are you long/short correlation?) update your risk management system to accommodate structured products with non linear exposures and to design "objects" to represent, price and hedge, counterparty risk

This text takes copulas and applies the methodology to mathematical finance. The authors explain copulas by describing their application to major topics such as asset pricing, risk management and credit risk analysis. They take financial problems such as the pricing of multi-variate derivatives and exotic contracts and risk management issues such as allocating capital among different desk and business lines. The intention is that the reader will be able to devise their own applications and answers to such problems by following the strategies illustrated throughout the book.

The latest tools and techniques for pricing and risk management This book introduces readers to the use of copula functions to represent the dynamics of financial assets and risk factors, integrated temporal and cross-section applications. The first part of the book will briefly introduce the standard the theory of copula functions, before examining the link between copulas and Markov processes. It will then introduce new techniques to design Markov processes that are suited to represent the dynamics of market risk factors and their co-movement, providing techniques to both estimate and simulate such dynamics. The second part of the book will show readers how to apply these methods to the evaluation of pricing of multivariate derivative contracts in the equity and credit markets. It will then move on to explore the applications of joint temporal and cross-section aggregation to the problem of risk integration.