IMPERFECTIONS OF CDO’S VALUATION Petra Benešová Institute of Economic Studies, Faculty of Social Sciences Charles University in Prague, Czech Republic.

Slides:



Advertisements
Similar presentations
Introduction To Credit Derivatives Stephen P. D Arcy and Xinyan Zhao.
Advertisements

Money Markets Freeze: Causes and Developments since August 2007 Gerald P. Dwyer Federal Reserve Bank of Atlanta University of Carlos III, Madrid.
THE DEVIL IS IN THE TAILS: ACTUARIAL MATHEMATICS AND THE SUBPRIME MORTGAGE CRISIS.
Financial crisis How to make sense of it. Objectives  Scan literature  Organize using graphical representation  Build up  Collapse  Identify likely.
1 Securitization, Risk Management and Bank Capital Ashish Dev Executive Vice President Group Head, Enterprise Risk Management KeyCorp
Collateralized Debt Obligations Kellogg Securitization Colloquium May 5, 2003.
Financial Risk Management of Insurance Enterprises Collateralized Debt Obligations (CDOs)
ABSs, CDOs, and the Credit Crunch of 2007 Chapter 16 1 Risk Management and Financial Institutions 2e, Chapter 16, Copyright © John C. Hull 2009.
CDO Valuation: Term Structure, Tranche Structure and Loss Distributions Michael Walker Department of Physics University of Toronto
PD16 Asset Backed Commercial Paper Lessons in risk management to be learned Stuart Wason June 19, 2008.
November 2007 Overview of Collateralized Loan Obligations.
1 Asset securitization, information asymmetry, and insider trading Ying Zhou Jennifer Wu Tucker June 2011.
The importance of measuring credit risk Beroepsvereniging van Beleggingsprofessionals 21 april 2008 T om van Zalen.
An Empirical Analysis of the Pricing of Collateralized Debt Obligations Francis Longstaff, UCLA Arvind Rajan, Citigroup.
Credit Derivatives: From the simple to the more advanced Jens Lund 2 March 2005.
Chapter 8 Securitization and the Credit Crisis of 2007 Options, Futures, and Other Derivatives 8th Edition, Copyright © John C. Hull
Prof. Ian Giddy New York University Structured Finance: Credit Derivatives.
Structured Finance: Synthetic ABS
Chapter 9: Mortgage Markets
CREDIT RISK. CREDIT RATINGS  Rating Agencies: Moody’s and S&P  Creditworthiness of corporate bonds  In the S&P rating system, AAA is the best rating.
Credit Risk Chapter 20.
Credit Derivatives Chapter 21.
Financial Collapse Destruction of Wealth Collapse of Banks Falling Housing Prices Freezing Credit Markets Attributable to Credit Default Swaps?
CREDIT DERIVATIVES. WHAT ARE CREDIT DERIVATIVES? “ Credit derivatives are derivative instruments that seek to trade in credit risks. ” Credit Risk: The.
Options, Futures, and Other Derivatives 6 th Edition, Copyright © John C. Hull Credit Derivatives Chapter 21.
Relative Value Trading Opportunities in Portfolios Of Credits Raghunath Ganugapati (Newt) University Of Wisconsin-Madison Doctoral Candidate in Particle.
Brian D. Gordon, Director Brian D. Gordon, Director
Copyright © John Hull Dynamic Models of Portfolio Credit Risk: A Simplified Approach John Hull Princeton Credit Conference May 2008.
1 The Alphabet Soup of the Sub-Prime Crisis Marti Subrahmanyam Charles E. Merrill Professor of Finance, Economics and International Business Stern School.
Synthetic CDOs: Industry Trends in Analytical and Modeling Techniques By: Lawrence Dunn
A Study of Sellers of Senior Tranched Credit Protection, Jon Gregory, London 8 th July A Study of Sellers of Senior Tranched Credit Protection Jon.
MBF1243 Derivatives L9: Securitization and the Credit Crisis of 2007.
Tranching and Rating Brennan, Hein, and Poon Comments by Mark Flannery Financial Innovations and Crises, May 11-13, 2009.
Collateralized Debt Obligations Fabozzi -- Chapter 15.
1 CDO: Collateralized Debt Obligation The New Choice in Global Reinsurance.
Fundamentals of Futures and Options Markets, 7th Ed, Ch 23, Copyright © John C. Hull 2010 Credit Derivatives Chapter 23 1.
Credit Risk Chapter 22 1 Options, Futures, and Other Derivatives, 7th Edition, Copyright © John C. Hull 2008.
Dynamic Pricing of Synthetic CDOs March 2008 Robert Lamb Imperial College William Perraudin Imperial College Astrid Van Landschoot S&P TexPoint fonts used.
0 Credit Default Swap with Nonlinear Dependence Chih-Yung Lin Shwu-Jane Shieh
Chapter 24 Credit Derivatives
Credit Risk transfer OECD-IAIS-ASSAL Fourth Conference on Insurance Regulation and Supervision in Latin America Punta Cana, Dominican Republic, May 6 th.
1 Asset Securitization. 2 Mortgage borrowers BankInvestors No securitization.
Copyright © John Hull, Dynamic Models of Portfolio Credit Risk: A Simplified Approach John Hull RMI Research Conference, 2007.
Financial Risk Management of Insurance Enterprises Credit Derivatives.
Economics 434 Financial Markets Professor Burton University of Virginia Fall 2015 October 27, 2015.
Economics 434 Financial Markets Professor Burton University of Virginia Fall 2015 October 27-29, 2015.
Chapter 26 Credit Risk. Copyright © 2006 Pearson Addison-Wesley. All rights reserved Default Concepts and Terminology What is a default? Default.
CDO correlation smile and deltas under different correlations
Jean-Roch Sibille - University of Liège Georges Hübner – University of Liège Third International Conference on Credit and Operational Risks Pricing CDOs.
Fundamentals of Futures and Options Markets, 7th Ed, Ch 23, Copyright © John C. Hull 2010 Credit Derivatives Chapter 23 Pages 501 – 515 ( middle) 1.
Javier Zapata October 25 th, 2011 Stability Analysis of Synthetic CDO Ratings Stability Analysis of Synthetic CDO Ratings.
Correlated Default Models Sanjiv R. Das Santa Clara University 1.
Copyright © 2009 Pearson Education, Inc. Publishing as Prentice Hall.1 CHAPTER 32 Market for Credit Risk Transfer Vehicles: Credit Derivatives and Collateralized.
Chapter 6 Portfolio Management of Bond Funds. Holdings in Taxable Bond Funds (1) Issued by the U.S. government. U.S. Treasures Issued by federal government.
Laura Shalayeva IES  What does “credit derivative” mean?  Credit events  Market size  Types of credit derivatives  Credit default swap.
Credit Risk Nicolas Beudin & Maxime Riche. Agenda 1. Overview 2. Valuation 3. Dealing with credit risk 4. Conclusion 5. Appendix 2.
Chapter 27 Credit Risk.
Credit Derivatives Chapter 23
ABSs, CDOs, and the Credit Crunch of 2007
Preservation of capital or return: an unavoidable choice?
Credit Derivatives Kajal Udas.
Financial Market Theory
Class 5: Derivatives- Financial WMDs?
Credit Derivatives Chapter 23
Scuola Normale Superiore, Pisa,
The Credit Crisis of 2007 Chapter 6
Mutual Fund Management of Bond Funds
Dynamic Models of Portfolio Credit Risk: A Simplified Approach
Chapter 24 Credit Derivatives
Collateralized Debt Obligations
Presentation transcript:

IMPERFECTIONS OF CDO’S VALUATION Petra Benešová Institute of Economic Studies, Faculty of Social Sciences Charles University in Prague, Czech Republic 24 November 2009

Agenda Basic Principles of CDOs 2. One Factor Gaussian Copula Model 3. Results of the Model 4. Main Flaws of the CDO Market 5. 2 Imperfections of CDO's Valuation 24 November 2009 Introduction 1. Conclusion 6.6.

Introduction 3 Imperfections of CDO's Valuation 24 November 2009 Defininion of a CDO (collateralized debt obligation): “A structured credit security backed by a pool of securities, loans, or credit default swaps, where securitized interests in the security are divided into tranches with differing repayment and interest earning streams.” - Source: Global Financial Stability report, IMF, 2008 Definition of CDO

Agenda Basic Principles of CDOs 2. One Factor Gaussian Copula Model 3. Results of the Model 4. Main Flaws of the CDO Market 5. 4 Imperfections of CDO's Valuation 24 November 2009 Introduction 1. Conclusion 6.6.

Basic Principles of CDOs 5 Imperfections of CDO's Valuation 24 November 2009 CDO Structure CDO Originator Tranche % of loss Yield: 4% Tranche % of loss Yield: 8% Tranche % of loss Yield: 15% Tranche 1 0-5% of loss Yield: 30% Asset 1 Asset 2 Asset 3 Asset 100 Average yield: 6.8% Main features: leverage and diversification

Basic Principles of CDOs 6 Imperfections of CDO's Valuation 24 November 2009 Motivation Motives for an originator (CDO seller): 1.Transfer of a credit risk (original purpose) 2.Capital relief and liquidity 3.Arbitrage opportunity (main purpose) Motives for an investor (CDO buyer): 1.Standardization 2.Liquidity 3.Diversification

Basic Principles of CDOs 7 Imperfections of CDO's Valuation 24 November 2009 CDO Indices: iTraxx, CDX iTraxx: European and Asian underlying assets CDX: North American underlying assets iTraxx Europe 5Y, Series 3, Version 1 June 2004 – February 2009 Source: Bloomberg

Basic Principles of CDOs 8 Imperfections of CDO's Valuation 24 November 2009 CDO Issuance (in USD millions) Source:

Basic Principles of CDOs 9 Imperfections of CDO's Valuation 24 November 2009 TOP CDO Issuers and their writedowns Source: authors based on in Millions USD

Agenda Basic Principles of CDOs 2. One Factor Gaussian Copula Model 3. Results of the Model 4. Main Flaws of the CDO Market Imperfections of CDO's Valuation 24 November 2009 Introduction 1. Conclusion 6.6.

One Factor Gaussian Copula Model 11 Imperfections of CDO's Valuation 24 November 2009 Present value of premium and loss payment Suppose i underlying assets, i=1,...,n. Task: Determine the premium payment V so that PV(Premium) = PV(loss) where is a discount factor denotes expected loss by time

One Factor Gaussian Copula Model 12 Imperfections of CDO's Valuation 24 November 2009 Expected loss and denote attachment resp. detachment point of a tranche is probability of j defaults (j=0,...,n) by time is a cummulative loss on a portfolio given j defaults by time A denotes volume of one asset in a CDO

One Factor Gaussian Copula Model 13 Imperfections of CDO's Valuation 24 November 2009 Probability of j defaults by time t k (1) 1.Conditional default probability -Default time of i-th asset as a random variable: τ i -One factor model: description of a random variable X i -Gaussian Copula: Connection between μ i and X i

One Factor Gaussian Copula Model 14 Imperfections of CDO's Valuation 24 November 2009 Probability of j defaults by time t k (2) Where from Gaussian copula approach: 1.Conditional default probability

One Factor Gaussian Copula Model 15 Imperfections of CDO's Valuation 24 November 2009 Probability of j defaults by time t k (3) 2. Unconditional default probability Integral of conditional default probability over all M

One Factor Gaussian Copula Model 16 Imperfections of CDO's Valuation 24 November 2009 Entry parameters 1.Pairwise correlation – ρ 2.Distribution of the default time τ – f(t) Aternative measure: hazard rate function After some derivations h(t) constant at λ – hazard rate → Exponencial distribution 3. Value of hazard rate - λ

Agenda Basic Principles of CDOs 2. One Factor Gaussian Copula Model 3. Results of the Model 4. Main Flaws of the CDO Market Imperfections of CDO's Valuation 24 November 2009 Introduction 1. Conclusion 6.6.

Results of the Model 18 Imperfections of CDO's Valuation 24 November 2009 Hypotheses testing (1) The higher the asset correlation, the lower the risk premium for a junior tranche and the higher the risk premium for a senior tranche

Results of the Model 19 Imperfections of CDO's Valuation 24 November 2009 Hypotheses testing (2) Base correlation is more stable measure of correlation than implied correlation

Results of the Model 20 Imperfections of CDO's Valuation 24 November 2009 Hypotheses testing (3) Correlation and hazard rate changed substantially between 20 September 2007 and 28 February Correlation Hazard rate Number of assets Notional investedUSD 100 mil.USD 97.6 mil. AP and DP-2.4 percentage points

Results of the Model 21 Imperfections of CDO's Valuation 24 November 2009 Hypotheses testing (4) There has been a substantial loss even on the most senior tranche without a necessity to be hit directly by a default of this tranche Tranche 0-3%3-7%7-10%10-15%15-30% Premium14.69%4.21%1.89%0.88%0.19% Premium121.1%46.94%26.52%17.76%8.37% % M-t-M loss-82.12%-71.28%-57.39%-46.13%-26.59%

Agenda Basic Principles of CDOs 2. One Factor Gaussian Copula Model 3. Results of the Model 4. Main Flaws of the CDO Market Imperfections of CDO's Valuation 24 November 2009 Introduction 1. Conclusion 6.6.

Main Flaws of the CDO Market 23 Imperfections of CDO's Valuation 24 November MAIN FLAWS 1. Insuficient analysis of underlying asset 2. Misunderstanding of the valuation model 3. Mispriced correlation 4. Use of mark-to-market valuation principle

Main Flaws of the CDO Market 24 Imperfections of CDO's Valuation 24 November Insuficient analysis of underlying assets 2.Misunderstanding of the valuation model

Main Flaws of the CDO Market 25 Imperfections of CDO's Valuation 24 November Mispriced correlation 4. Mark-to-market valuation principle

Agenda Basic Principles of CDOs 2. One Factor Gaussian Copula Model 3. Results of the Model 4. Main Flaws of the CDO Market Imperfections of CDO's Valuation 24 November 2009 Introduction 1. Conclusion 6.6.

27 Imperfections of CDO's Valuation 24 November 2009 Conclusion CDO market has a chance to be regenerated. Securitization and credit market is needed, but the trades have to be done rationally and deliberately. A future CDO market would then be more conscious, driven by smarter motives and definitely less extensive.

Discussion 28 Imperfections of CDO's Valuation 24 November 2009 Thanks for your attention. Let´s discuss it now!

Contact 29 Imperfections of CDO's Valuation 24 November 2009 Petra Benešová Institute of Economic Studies Faculty of Social Sciences Charles University Opletalova str Prague Czech Republic