Counterparty Risk and Funding: A Tale of Two Puzzles

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Solve the DVA/FVA Overlap Issue and Effectively Manage Portfolio Credit Risk

Counterparty Risk and Funding: A Tale of Two Puzzles explains how to study risk embedded in financial transactions between the bank and its counterparty. The authors provide an analytical basis for the quantitative methodology of dynamic valuation, mitigation, and hedging of bilateral counterparty risk on over-the-counter (OTC) derivative contracts under funding constraints. They explore credit, debt, funding, liquidity, and rating valuation adjustment (CVA, DVA, FVA, LVA, and RVA) as well as replacement cost (RC), wrong-way risk, multiple funding curves, and collateral.

The first part of the book assesses today’s financial landscape, including the current multi-curve reality of financial markets. In mathematical but model-free terms, the second part describes all the basic elements of the pricing and hedging framework. Taking a more practical slant, the third part introduces a reduced-form modeling approach in which the risk of default of the two parties only shows up through their default intensities. The fourth part addresses counterparty risk on credit derivatives through dynamic copula models. In the fifth part, the authors present a credit migrations model that allows you to account for rating-dependent credit support annex (CSA) clauses. They also touch on nonlinear FVA computations in credit portfolio models. The final part covers classical tools from stochastic analysis and gives a brief introduction to the theory of Markov copulas.

The credit crisis and ongoing European sovereign debt crisis have shown the importance of the proper assessment and management of counterparty risk. This book focuses on the interaction and possible overlap between DVA and FVA terms. It also explores the particularly challenging issue of counterparty risk in portfolio credit modeling. Primarily for researchers and graduate students in financial mathematics, the book is also suitable for financial quants, managers in banks, CVA desks, and members of supervisory bodies.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Recensione:

"... a fresh take on mitigation of counterparty risk ... [the book] gives a ground-up approach for analysis and managing of risks associated with non-payment of promised cash flows due to the default by a party in an over-the-counter derivative transaction. It should be of value to researchers, graduate students, financial quants, managers in banks, CVA desks, and members of supervisory bodies."
―hedgeweek.com, July 2014

"The landscape of the rates and credit markets has changed so drastically since the 2008 crisis that older textbooks are barely relevant and, from an analytic perspective, appropriate methods have to be rethought from scratch. The present volume is one of the best contributions in this direction, featuring a clear description of the various ‘value adjustments,’ new models for portfolio credit risk, a unified analytic framework based on BSDEs, and detailed treatment of numerical methods."
―Mark Davis, Imperial College London

"Understanding the subtle interconnections between credit and funding is key to a modern valuation of derivatives. This timely contribution, written by world-class academics who are also well-recognized experts in the field, offers a rigorous and comprehensive treatment of the main theories underpinning the new valuation principles. Numerical examples are also provided to help the reader grasp key concepts and ideas of the advanced models and techniques here presented. Overall, an excellent textbook. Brigo’s dialogue is the icing on the cake."
―Fabio Mercurio, Head of Derivatives Research, Bloomberg LP

"A big hooray for this book on CVA, DVA, FVA/LVA, RVA, TVA, and other three letter acronyms (TLA!)."
―Peter Carr, PhD, Managing Director, Morgan Stanley, and Executive Director, NYU Courant Master of Science Program in Mathematics in Finance

Contenuti:

Financial Landscape
A Galilean Dialogue on Counterparty Risk, CVA, DVA, Multiple Curves, Collateral, and Funding
To the Discerning Reader
The First Day
The Second Day
The Third Day
The Fourth Day

The Whys of the LOIS
Financial Setup
Indifference Valuation Model
LOIS Formula
Numerical Study

Model-Free Developments
Pure Counterparty Risk
Cash Flows
Valuation and Hedging
CSA Specifications

Bilateral Counterparty Risk under Funding Constraints
Introduction
Market Model
Trading Strategies
Martingale Pricing Approach
TVA
Example

Reduced-Form BSDE Modeling
A Reduced-Form TVA BSDE Approach to Counterparty Risk under Funding Constraints
Introduction
Pre-Default BSDE Modeling
Markov Case

The Four Wings of the TVA
Introduction
TVA Representations
CSA Specifications
Clean Valuations
TVA Computations

Dynamic Copula Models
Dynamic Gaussian Copula Model
Introduction
Model
Clean Valuation and Hedging of Credit Derivatives
Counterparty Risk

Common-Shock Model
Introduction
Model of Default Times
Clean Pricing, Calibration and Hedging
Numerical Results
CVA Pricing and Hedging

CVA Computations for one CDS in the Common-Shock Model
Introduction
Generalities
Common-Shock Model with Deterministic Intensities
Numerical Results with Deterministic Intensities
Common-Shock Model with Stochastic Intensities
Numerics

CVA Computations for Credit Portfolios in the Common-Shock Model
Portfolio of CDS
CDO Tranches

Further Developments
Rating Triggers and Credit Migrations
Introduction
Credit Value Adjustment and Collateralization under Rating Triggers
Markov Copula Approach for Rating-Based Pricing
Applications

A Unified Perspective
Introduction
Marked Default Time Reduced-Form Modeling
Dynamic Gaussian Copula TVA Model
Dynamic Marshall-Olkin Copula TVA Model

Mathematical Appendix
Stochastic Analysis Prerequisites
Stochastic Integration
Itô Processes
Jump-Diffusions
Feynman-Kac Formula
Backward Stochastic Differential Equations
Measure Changes and Random Intensity of Jumps
Reduction of Filtration and Hazard Intensity Pre-Default Credit Risk Modeling

Markov Consistency and Markov Copulas
Introduction
Consistent Markov Processes
Markov Copulas
Examples

Index

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

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Stéphane Crépey; Tomasz R. Bielecki; Damiano Brigo
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Descrizione libro Chapman and Hall/CRC, 2014. Condizione: New. book. Codice articolo M1466516453

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Descrizione libro 2014. Hardcover. Condizione: New. Hardcover. Solve the DVA/FVA Overlap Issue and Effectively Manage Portfolio Credit RiskCounterparty Risk and Funding: A Tale of Two Puzzles explains how to study risk embedded in financial transactio.Shipping may be from multiple locations in the US or from the UK, depending on stock availability. 388 pages. 0.982. Codice articolo 9781466516458

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Descrizione libro Taylor Francis Inc, United States, 2014. Hardback. Condizione: New. Language: English . Brand New Book. Solve the DVA/FVA Overlap Issue and Effectively Manage Portfolio Credit Risk Counterparty Risk and Funding: A Tale of Two Puzzles explains how to study risk embedded in financial transactions between the bank and its counterparty. The authors provide an analytical basis for the quantitative methodology of dynamic valuation, mitigation, and hedging of bilateral counterparty risk on over-the-counter (OTC) derivative contracts under funding constraints. They explore credit, debt, funding, liquidity, and rating valuation adjustment (CVA, DVA, FVA, LVA, and RVA) as well as replacement cost (RC), wrong-way risk, multiple funding curves, and collateral. The first part of the book assesses today s financial landscape, including the current multi-curve reality of financial markets. In mathematical but model-free terms, the second part describes all the basic elements of the pricing and hedging framework. Taking a more practical slant, the third part introduces a reduced-form modeling approach in which the risk of default of the two parties only shows up through their default intensities. The fourth part addresses counterparty risk on credit derivatives through dynamic copula models. In the fifth part, the authors present a credit migrations model that allows you to account for rating-dependent credit support annex (CSA) clauses. They also touch on nonlinear FVA computations in credit portfolio models. The final part covers classical tools from stochastic analysis and gives a brief introduction to the theory of Markov copulas. The credit crisis and ongoing European sovereign debt crisis have shown the importance of the proper assessment and management of counterparty risk. This book focuses on the interaction and possible overlap between DVA and FVA terms. It also explores the particularly challenging issue of counterparty risk in portfolio credit modeling. Primarily for researchers and graduate students in financial mathematics, the book is also suitable for financial quants, managers in banks, CVA desks, and members of supervisory bodies. Codice articolo AA69781466516458

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Stéphane Crépey, Tomasz R. Bielecki, Damiano Brigo
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Descrizione libro Taylor Francis Inc, United States, 2014. Hardback. Condizione: New. Language: English . Brand New Book. Solve the DVA/FVA Overlap Issue and Effectively Manage Portfolio Credit Risk Counterparty Risk and Funding: A Tale of Two Puzzles explains how to study risk embedded in financial transactions between the bank and its counterparty. The authors provide an analytical basis for the quantitative methodology of dynamic valuation, mitigation, and hedging of bilateral counterparty risk on over-the-counter (OTC) derivative contracts under funding constraints. They explore credit, debt, funding, liquidity, and rating valuation adjustment (CVA, DVA, FVA, LVA, and RVA) as well as replacement cost (RC), wrong-way risk, multiple funding curves, and collateral. The first part of the book assesses today s financial landscape, including the current multi-curve reality of financial markets. In mathematical but model-free terms, the second part describes all the basic elements of the pricing and hedging framework. Taking a more practical slant, the third part introduces a reduced-form modeling approach in which the risk of default of the two parties only shows up through their default intensities. The fourth part addresses counterparty risk on credit derivatives through dynamic copula models. In the fifth part, the authors present a credit migrations model that allows you to account for rating-dependent credit support annex (CSA) clauses. They also touch on nonlinear FVA computations in credit portfolio models. The final part covers classical tools from stochastic analysis and gives a brief introduction to the theory of Markov copulas. The credit crisis and ongoing European sovereign debt crisis have shown the importance of the proper assessment and management of counterparty risk. This book focuses on the interaction and possible overlap between DVA and FVA terms. It also explores the particularly challenging issue of counterparty risk in portfolio credit modeling. Primarily for researchers and graduate students in financial mathematics, the book is also suitable for financial quants, managers in banks, CVA desks, and members of supervisory bodies. Codice articolo AA69781466516458

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