Damiano Brigo, Massimo Morini, Andrea Pallavicini

Counterparty Credit Risk, Collateral and Funding (eBook, PDF)

With Pricing Cases For All Asset Classes

• Format: PDF

Produktbeschreibung

The book's content is focused on rigorous and advanced quantitative methods for the pricing and hedging of counterparty credit and funding risk. The new general theory that is required for this methodology is developed from scratch, leading to a consistent and comprehensive framework for counterparty credit and funding risk, inclusive of collateral, netting rules, possible debit valuation adjustments, re-hypothecation and closeout rules. The book however also looks at quite practical problems, linking particular models to particular 'concrete' financial situations across asset classes, including interest rates, FX, commodities, equity, credit itself, and the emerging asset class of longevity. The authors also aim to help quantitative analysts, traders, and anyone else needing to frame and price counterparty credit and funding risk, to develop a 'feel' for applying sophisticated mathematics and stochastic calculus to solve practical problems. The main models are illustrated from theoretical formulation to final implementation with calibration to market data, always keeping in mind the concrete questions being dealt with. The authors stress that each model is suited to different situations and products, pointing out that there does not exist a single model which is uniformly better than all the others, although the problems originated by counterparty credit and funding risk point in the direction of global valuation. Finally, proposals for restructuring counterparty credit risk, ranging from contingent credit default swaps to margin lending, are considered.

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 464
• Erscheinungstermin: 7. März 2013
• Englisch
• ISBN-13: 9780470662496
• Artikelnr.: 37753845

Autorenporträt

About the authors PROFESSOR DAMIANO BRIGO is Chair of Mathematical Finance and co-Head of Group at Imperial College, London. Damiano is also Director of the Capco Research Institute. His previous roles include Gilbart Professor and Head of Group at King's College, Managing Director and Global Head of Quantitative Innovation in Fitch, Head of Credit Models in Banca IMI, Fixed Income Professor at Bocconi University in Milan, and Quantitative Analyst at Banca Intesa. He has worked on quantitative analysis of counterparty risk, interest rates-, FX-, credit- and equity- derivatives, risk management and structured products, and funding costs and collateral modelling. Damiano has published 70+ works in top journals for Mathematical Finance, Systems Theory, Probability and Statistics, with H-index 24 on Scholar, and books for Springer and John Wiley & Sons that became field references in stochastic interest rate and credit modelling. Damiano is Managing Editor of the International Journal of Theoretical and Applied Finance, and has been listed as the most cited author in Risk Magazine in 2006 and 2010. Damiano obtained a Ph.D. in stochastic filtering with differential geometry in 1996 from the Free University of Amsterdam, following a BSc in Mathematics with honours from the University of Padua. MASSIMO MORINI is Head of Interest Rate and Credit Models and Coordinator of Model Research at Banca IMI of Intesa San Paolo. Massimo is also Professor of Fixed Income at Bocconi University and was a Research Fellow at Cass Business School, City University London. He regularly delivers advanced training in London, New York and worldwide. He has led workshops on credit risk and the financial crisis at major international conferences. He has published papers in journals including Risk Magazine, Mathematical Finance, and the Journal of Derivatives, and is the author of Understanding and Managing Model Risk: A Practical Guide for Quants, Traders and Validators. Massimo holds a PhD in Mathematics and an MSc in Economics. ANDREA PALLAVICINI is Head of Equity, FX and Commodity Models at Banca IMI, where he has the responsibility of numerical algorithm's design, financial modelling and research activity. He is also Visiting Professor at the Department of Mathematics of the Imperial College London. Previously, he held positions as Head of Financial Models at Mediobanca and Head of Financial Engineering at Banca Leonardo, he worked also in aerospace industries and financial institutions. He has a Degree in Astrophysics and a Ph.D. in Theoretical and Mathematical Physics from the University of Pavia for his research activity at CERN laboratory in Genève. Over the years he has written books in finance and he published several academic and practitioner-oriented articles in financial modelling, theoretical physics and astrophysics in major peer-reviewed journals. He teaches regularly at professional training courses and at Master and Ph.D. courses in finance at different Universities and private institutions. His main contributions in finance concern interest-rate and credit modelling, counterparty credit risk, and hybrid derivative pricing.

Inhaltsangabe

Ignition xv Abbreviations and Notation xxiii PART I COUNTERPARTY CREDIT
RISK, COLLATERAL AND FUNDING 1 Introduction 3 1.1 A Dialogue on CVA 3 1.2
Risk Measurement: Credit VaR 3 1.3 Exposure, CE, PFE, EPE, EE, EAD 5 1.4
Exposure and Credit VaR 7 1.5 Interlude: P and Q 7 1.6 Basel 8 1.7 CVA and
Model Dependence 9 1.8 Input and Data Issues on CVA 10 1.9 Emerging Asset
Classes: Longevity Risk 11 1.10 CVA and Wrong Way Risk 12 1.11 Basel III:
VaR of CVA and Wrong Way Risk 13 1.12 Discrepancies in CVA Valuation: Model
Risk and Payoff Risk 14 1.13 Bilateral Counterparty Risk: CVA and DVA 15
1.14 First-to-Default in CVA and DVA 17 1.15 DVA Mark-to-Market and DVA
Hedging 18 1.16 Impact of Close-Out in CVA and DVA 19 1.17 Close-Out
Contagion 20 1.18 Collateral Modelling in CVA and DVA 21 1.19
Re-Hypothecation 22 1.20 Netting 22 1.21 Funding 23 1.22 Hedging
Counterparty Risk: CCDS 25 1.23 Restructuring Counterparty Risk: CVA-CDOs
and Margin Lending 26 2 Context 31 2.1 Definition of Default: Six Basic
Cases 31 2.2 Definition of Exposures 32 2.3 Definition of Credit Valuation
Adjustment (CVA) 35 2.4 Counterparty Risk Mitigants: Netting 37 2.5
Counterparty Risk Mitigants: Collateral 38 2.6 Funding 41 2.7 Value at Risk
(VaR) and Expected Shortfall (ES) of CVA 43 2.8 The Dilemma of Regulators
and Basel III 44 3 Modelling the Counterparty Default 47 3.1 Firm Value (or
Structural) Models 47 3.2 Firm Value Models: Hints at the Multiname Picture
64 3.3 Reduced Form (Intensity) Models 65 3.4 Intensity Models: The
Multiname Picture 78 PART II PRICING COUNTERPARTY RISK: UNILATERAL CVA 4
Unilateral CVA and Netting for Interest Rate Products 89 4.1 First Steps
towards a CVA Pricing Formula 89 4.2 The Probabilistic Framework 92 4.3 The
General Pricing Formula for Unilateral Counterparty Risk 94 4.4 Interest
Rate Swap (IRS) Portfolios 97 4.5 Numerical Tests 106 4.6 Conclusions 120 5
Wrong Way Risk (WWR) for Interest Rates 121 5.1 Modelling Assumptions 122
5.2 Numerical Methods 127 5.3 Results and Discussion 129 5.4 Contingent CDS
(CCDS) 132 5.5 Results Interpretation and Conclusions 133 6 Unilateral CVA
for Commodities with WWR 135 6.1 Oil Swaps and Counterparty Risk 135 6.2
Modelling Assumptions 137 6.3 Forward versus Futures Prices 140 6.4 Swaps
and Counterparty Risk 142 6.5 UCVA for Commodity Swaps 144 6.6 Inadequacy
of Basel's WWR Multipliers 148 6.7 Conclusions 151 7 Unilateral CVA for
Credit with WWR 153 7.1 Introduction to CDSs with Counterparty Risk 153 7.2
Modelling Assumptions 155 7.3 CDS Options Embedded in CVA Pricing 158 7.4
UCVA for Credit Default Swaps: A Case Study 160 7.5 Conclusions 164 8
Unilateral CVA for Equity with WWR 167 8.1 Counterparty Risk for Equity
Without a Full Hybrid Model 167 8.2 Counterparty Risk with a Hybrid
Credit-Equity Structural Model 172 8.3 Model Calibration and Empirical
Results 180 8.4 Counterparty Risk and Wrong Way Risk 191 9 Unilateral CVA
for FX 205 9.1 Pricing with Two Currencies: Foundations 206 9.2 Unilateral
CVA for a Fixed-Fixed CCS 210 9.3 Unilateral CVA for Cross Currency Swaps
with Floating Legs 224 9.4 Why a Cross Currency Basis? 226 9.5 CVA for CCS
in Practice 230 9.6 Novations and the Cost of Liquidity 237 9.7 Conclusions
243 PART III ADVANCED CREDIT AND FUNDING RISK PRICING 10 New Generation
Counterparty and Funding Risk Pricing 247 10.1 Introducing the Advanced
Part of the Book 247 10.2 What We Have Seen Before: Unilateral CVA 249 10.3
Unilateral Debit Valuation Adjustment (UDVA) 250 10.4 Bilateral Risk and
DVA 251 10.5 Undesirable Features of DVA 253 10.6 Close-Out: Risk-Free or
Replacement? 256 10.7 Can We Neglect the First-to-Default Time? 257 10.8
Payoff Risk 258 10.9 Collateralization, Gap Risk and Re-Hypothecation 259
10.10 Funding Costs 262 10.11 Restructuring Counterparty Risk 263 10.12
Conclusions 266 11 A First Attack on Funding Cost Modelling 269 11.1 The
Problem 269 11.2 A Closer Look at Funding and Discounting 271 11.3 The
Approach Proposed by Morini and Prampolini (2010) 272 11.4 What Next on
Funding? 278 12 Bilateral CVA-DVA and Interest Rate Products 279 12.1
Arbitrage-Free Valuation of Bilateral Counterparty Risk 281 12.2 Modelling
Assumptions 286 12.3 Numerical Methods 290 12.4 Results and Discussion 291
12.5 Conclusions 302 13 Collateral, Netting, Close-Out and Re-Hypothecation
305 13.1 Trading Under the ISDA Master Agreement 306 13.2 Bilateral CVA
Formula under Collateralization 310 13.3 Close-Out Amount Evaluation 313
13.4 Special Cases of Collateral-Inclusive Bilateral Credit Valuation
Adjustment 314 13.5 Example of Collateralization Schemes 315 13.6
Conclusions 316 14 Close-Out and Contagion with Examples of a Simple Payoff
319 14.1 Introduction to Close-Out Modelling and Earlier Work 319 14.2
Classical Unilateral and Bilateral Valuation Adjustments 322 14.3 Bilateral
Adjustment and Close-Out: Risk-Free or Replacement? 323 14.4 A Quantitative
Analysis and a Numerical Example 323 14.5 Conclusions 329 15 Bilateral
Collateralized CVA and DVA for Rates and Credit 331 15.1 CBVA for Interest
Rate Swaps 332 15.2 Modelling Credit Contagion 340 15.3 CBVA for Credit
Default Swaps 345 15.4 Conclusions 349 16 Including Margining Costs in
Collateralized Contracts 351 16.1 Trading Under the ISDA Master Agreement
352 16.2 CBVA General Formula with Margining Costs 355 16.3 Changing the
Collateralization Currency 357 Foreign-Currency Collaterals 359 16.4
Conclusions 359 17 Funding Valuation Adjustment (FVA)? 361 17.1 Dealing
with Costs of Funding 361 17.2 Collateral- and Funding-Inclusive Bilateral
Valuation Adjusted Price 366 17.3 Funding Risk and Liquidity Policies 367
17.4 CBVA Pricing Equation with Funding Costs (CFBVA) 372 17.5 Detailed
Examples 378 17.6 Conclusions: FVA and Beyond 382 18 Non-Standard Asset
Classes: Longevity Risk 385 18.1 Introduction to Longevity Markets 385 18.2
Longevity Swaps: The Payoff 391 18.3 Mark-to-Market for Longevity Swaps 394
18.4 Counterparty and Own Default Risk, Collateral and Funding 397 18.5 An
Example of Modelling Specification from Biffis et al. (2011) 401 18.6
Discussion of the Results in Biffis et al. (2011) 404 19 Conclusions and
Further Work 409 19.1 A Final Dialogue: Models, Regulations, CVA/DVA,
Funding and More 409 Bibliography 415 Index 423