Rating Based Modeling of Credit Risk Theory and Application of Migration Matrices

Size: px
Start display at page:

Download "Rating Based Modeling of Credit Risk Theory and Application of Migration Matrices"

Transcription

1 Rating Based Modeling of Credit Risk Theory and Application of Migration Matrices

2 Preface xi 1 Introduction: Credit Risk Modeling, Ratings, and Migration Matrices Motivation Structural and Reduced Form Models Basel II, Scoring Techniques, and Internal Rating Systems Rating Based Modeling and the Pricing of Bonds Stability of Transition Matrices, Conditional Migrations and Dependence Credit Derivative Pricing Chapter Outline 7 2 Rating and Scoring Techniques Rating Agencies, Rating Processes, and Factors The Rating Process Credit Rating Factors Types of Rating Systems Scoring Systems Discriminant Analysis Logit and Probit Models Logit Models Probit Models Model Evaluation: Methods and Difficulties Model Performance and Benchmarking Model Accuracy, Type I and II Errors 29 3 The New Basel Capital Accord Overview The First Pillar Minimum Capital Requirement The Second Pillar Supervisory Review Process The Third Pillar Market Discipline The Standardized Approach Risk Weights for Sovereigns and for Banks Risk Weights for Corporates Maturity Credit Risk Mitigation The Internal Ratings Based Approach Key Elements and Risk Components Derivation of the Benchmark Risk Weight Function Asset Correlation The Maturity Adjustment Expected, Unexpected Losses and the Required Capital Summary 50

3 Rating Based Modeling Introduction Reduced Form and Intensity Models The Model by Jarrow and Turnbull (1995) The Model Suggested by Madan and Unal (1998) The Model Suggested by Lando (1998) The Model of Duffie and Singleton (1999) The CreditMetrics Model The CreditRisk+ Model The First Modeling Approach Modeling Severities Shortcomings of the First Modeling Approach Extensions in the CR+ Model Allocating Obligors to One of Several Factors The pgf for the Number of Defaults The pgf for the Default Loss Distribution Generalization of Obligor Allocation The Default Loss Distribution 76 Migration Matrices and the Markov Chain Approach The Markov Chain Approach Generator Matrices Discrete Versus Continuous-Time Modeling Some Conditions for the Existence of a Valid Generator Approximation of Generator Matrices The Method Proposed by Jarrow, Lando, and Turnbull (1997) Methods Suggested by Israel, Rosenthal, and Wei (2000) Simulating Credit Migrations Time-Discrete Case Time-Continuous Case Nonparametric Approach 94 Stability of Credit Migrations Credit Migrations and the Business Cycle The Markov Assumptions and Rating Drifts Likelihood Ratio Tests Rating Drift An Empirical Study Time Homogeneity of Migration Matrices Tests Using the Chi-Square Distance Eigenvalues and Eigenvectors Migration Behavior and Effects on Credit VaR Stability of Probability of Default Estimates 120 Measures for Comparison of Transition Matrices Classical Matrix Norms Indices Based on Eigenvalues and Eigenvectors Risk-Adjusted Difference Indices The Direction of the Transition (DIR) Transition to a Default or Nondefault State (TD) The Probability Mass of the Cell (PM) 135

4 ix Migration Distance (MD) Devising a Distance Measure Difference Indices for the Exemplary Matrices Summary Real-World and Risk-Neutral Transition Matrices The JLT Model Adjustments Based on the Discrete-Time Transition Matrix Adjustments Based on the Generator Matrix Modifying Default Intensities Modifying the Rows of the Generator Matrix Modifying Eigenvalues of the Transition Probability Matrix An Adjustment Technique Based on Economic Theory Risk-Neutral Migration Matrices and Pricing Conditional Credit Migrations: Adjustments and Forecasts Overview The CreditPortfolioView Approach Adjustment Based on Factor Model Representations Deriving an Index for the Credit Cycle Conditioning of the Migration Matrix A Multifactor Model Extension Other Methods An Empirical Study on Different Forecasting Methods Forecasts Using the Factor Model Approach Forecasts Using Numerical Adjustment Methods Regression Models In-Sample Results Out-of-Sample Forecasts Dependence Modeling and Credit Migrations Introduction Independence Dependence Capturing the Structure of Dependence Under General Multivariate Distributions Copulas Examples of Copulas Properties of Copulas Constructing Multivariate Distributions with Copulas Modeling Dependent Defaults Modeling Dependent Migrations Dependence Based on a Credit Cycle Index Dependence Based on Individual Transitions Approaches Using Copulas An Empirical Study on Dependent Migrations Distribution of Defaults The Distribution of Rating Changes Credit Derivatives Introduction Types of Credit Derivatives Collateralized Debt Obligations (CDO) 222

5 x Contents 11.2 Pricing Single-Named Credit Derivatives Modeling and Pricing of Collateralized Debt Obligations and Basket Credit Derivatives Estimation of Macroeconomic Risk Factors Modeling of Conditional Migrations and Recovery Rates Some Empirical Results Pricing Step-Up Bonds Step-Up Bonds Pricing of Step-Up Bonds 244 Bibliography 249 Index 259

Simulating Continuous Time Rating Transitions

Simulating Continuous Time Rating Transitions Bus 864 1 Simulating Continuous Time Rating Transitions Robert A. Jones 17 March 2003 This note describes how to simulate state changes in continuous time Markov chains. An important application to credit

More information

From Financial Risk Management. Full book available for purchase here.

From Financial Risk Management. Full book available for purchase here. From Financial Risk Management. Full book available for purchase here. Contents Preface Acknowledgments xi xvii CHAPTER 1 Introduction 1 Banks and Risk Management 1 Evolution of Bank Capital Regulation

More information

Credit Risk Modeling Using Excel and VBA with DVD O. Gunter Loffler Peter N. Posch. WILEY A John Wiley and Sons, Ltd., Publication

Credit Risk Modeling Using Excel and VBA with DVD O. Gunter Loffler Peter N. Posch. WILEY A John Wiley and Sons, Ltd., Publication Credit Risk Modeling Using Excel and VBA with DVD O Gunter Loffler Peter N. Posch WILEY A John Wiley and Sons, Ltd., Publication Preface to the 2nd edition Preface to the 1st edition Some Hints for Troubleshooting

More information

Working Paper October Book Review of

Working Paper October Book Review of Working Paper 04-06 October 2004 Book Review of Credit Risk: Pricing, Measurement, and Management by Darrell Duffie and Kenneth J. Singleton 2003, Princeton University Press, 396 pages Reviewer: Georges

More information

Risk Management anil Financial Institullons^

Risk Management anil Financial Institullons^ Risk Management anil Financial Institullons^ Third Edition JOHN C. HULL WILEY John Wiley & Sons, Inc. Contents Preface ' xix CHAPTBM Introduction! 1 1.1 Risk vs. Return for Investors, 2 1.2 The Efficient

More information

Credit Risk Modelling This course can also be presented in-house for your company or via live on-line webinar

Credit Risk Modelling This course can also be presented in-house for your company or via live on-line webinar Credit Risk Modelling This course can also be presented in-house for your company or via live on-line webinar The Banking and Corporate Finance Training Specialist Course Overview For banks and financial

More information

Calibration of PD term structures: to be Markov or not to be

Calibration of PD term structures: to be Markov or not to be CUTTING EDGE. CREDIT RISK Calibration of PD term structures: to be Markov or not to be A common discussion in credit risk modelling is the question of whether term structures of default probabilities can

More information

Credit Risk Modelling This in-house course can also be presented face to face in-house for your company or via live in-house webinar

Credit Risk Modelling This in-house course can also be presented face to face in-house for your company or via live in-house webinar Credit Risk Modelling This in-house course can also be presented face to face in-house for your company or via live in-house webinar The Banking and Corporate Finance Training Specialist Course Content

More information

by Kian Guan Lim Professor of Finance Head, Quantitative Finance Unit Singapore Management University

by Kian Guan Lim Professor of Finance Head, Quantitative Finance Unit Singapore Management University by Kian Guan Lim Professor of Finance Head, Quantitative Finance Unit Singapore Management University Presentation at Hitotsubashi University, August 8, 2009 There are 14 compulsory semester courses out

More information

A forward-looking model. for time-varying capital requirements. and the New Basel Capital Accord. Chiara Pederzoli Costanza Torricelli

A forward-looking model. for time-varying capital requirements. and the New Basel Capital Accord. Chiara Pederzoli Costanza Torricelli A forward-looking model for time-varying capital requirements and the New Basel Capital Accord Chiara Pederzoli Costanza Torricelli Università di Modena e Reggio Emilia Plan of the presentation: 1) Overview

More information

Credit Portfolio Risk and PD Confidence Sets through the Business Cycle

Credit Portfolio Risk and PD Confidence Sets through the Business Cycle Credit Portfolio Risk and PD Confidence Sets through the Business Cycle Stefan Trück and Svetlozar T. Rachev May 31, 2005 Abstract Transition matrices are an important determinant for risk management and

More information

Introductory Econometrics for Finance

Introductory Econometrics for Finance Introductory Econometrics for Finance SECOND EDITION Chris Brooks The ICMA Centre, University of Reading CAMBRIDGE UNIVERSITY PRESS List of figures List of tables List of boxes List of screenshots Preface

More information

Amath 546/Econ 589 Introduction to Credit Risk Models

Amath 546/Econ 589 Introduction to Credit Risk Models Amath 546/Econ 589 Introduction to Credit Risk Models Eric Zivot May 31, 2012. Reading QRM chapter 8, sections 1-4. How Credit Risk is Different from Market Risk Market risk can typically be measured directly

More information

List of tables List of boxes List of screenshots Preface to the third edition Acknowledgements

List of tables List of boxes List of screenshots Preface to the third edition Acknowledgements Table of List of figures List of tables List of boxes List of screenshots Preface to the third edition Acknowledgements page xii xv xvii xix xxi xxv 1 Introduction 1 1.1 What is econometrics? 2 1.2 Is

More information

Models for Credit Risk in a Network Economy

Models for Credit Risk in a Network Economy Models for Credit Risk in a Network Economy Henry Schellhorn School of Mathematical Sciences Claremont Graduate University An Example of a Financial Network Autonation Visteon Ford United Lear Lithia GM

More information

It doesn't make sense to hire smart people and then tell them what to do. We hire smart people so they can tell us what to do.

It doesn't make sense to hire smart people and then tell them what to do. We hire smart people so they can tell us what to do. A United Approach to Credit Risk-Adjusted Risk Management: IFRS9, CECL, and CVA Donald R. van Deventer, Suresh Sankaran, and Chee Hian Tan 1 October 9, 2017 It doesn't make sense to hire smart people and

More information

Introduction Credit risk

Introduction Credit risk A structural credit risk model with a reduced-form default trigger Applications to finance and insurance Mathieu Boudreault, M.Sc.,., F.S.A. Ph.D. Candidate, HEC Montréal Montréal, Québec Introduction

More information

Credit Risk: Modeling, Valuation and Hedging

Credit Risk: Modeling, Valuation and Hedging Tomasz R. Bielecki Marek Rutkowski Credit Risk: Modeling, Valuation and Hedging Springer Table of Contents Preface V Part I. Structural Approach 1. Introduction to Credit Risk 3 1.1 Corporate Bonds 4 1.1.1

More information

MULTIVARIATE MARKOV CHAIN MODEL FOR CREDIT RISK MEASUREMENT

MULTIVARIATE MARKOV CHAIN MODEL FOR CREDIT RISK MEASUREMENT MULTIVARIATE MARKOV CHAIN MODEL FOR CREDIT RISK MEASUREMENT PRESENTED BY: TABITHA WANJIKU KARANJA I56/70242/2011 A PROJECT SUBMITTED IN PARTIAL FULFILMENT FOR THE DEGREE OF MASTERS OF SCIENCE (ACTUARIAL

More information

ARCH Models and Financial Applications

ARCH Models and Financial Applications Christian Gourieroux ARCH Models and Financial Applications With 26 Figures Springer Contents 1 Introduction 1 1.1 The Development of ARCH Models 1 1.2 Book Content 4 2 Linear and Nonlinear Processes 5

More information

Effective Computation & Allocation of Enterprise Credit Capital for Large Retail and SME portfolios

Effective Computation & Allocation of Enterprise Credit Capital for Large Retail and SME portfolios Effective Computation & Allocation of Enterprise Credit Capital for Large Retail and SME portfolios RiskLab Madrid, December 1 st 2003 Dan Rosen Vice President, Strategy, Algorithmics Inc. drosen@algorithmics.com

More information

Concentration Risk in Credit Portfolios

Concentration Risk in Credit Portfolios Eva Liitkebohmert Concentration Risk in Credit Portfolios With 17 Figures and 19 Tables 4y Springer Contents Part I Introduction to Credit Risk Modeling 1 Risk Measurement 3 1.1 Variables of Risk 4 1.2

More information

Market Risk Analysis Volume I

Market Risk Analysis Volume I Market Risk Analysis Volume I Quantitative Methods in Finance Carol Alexander John Wiley & Sons, Ltd List of Figures List of Tables List of Examples Foreword Preface to Volume I xiii xvi xvii xix xxiii

More information

Estimating Default Probabilities for Emerging Markets Bonds

Estimating Default Probabilities for Emerging Markets Bonds Estimating Default Probabilities for Emerging Markets Bonds Stefania Ciraolo (Università di Verona) Andrea Berardi (Università di Verona) Michele Trova (Gruppo Monte Paschi Asset Management Sgr, Milano)

More information

HANDBOOK OF. Market Risk CHRISTIAN SZYLAR WILEY

HANDBOOK OF. Market Risk CHRISTIAN SZYLAR WILEY HANDBOOK OF Market Risk CHRISTIAN SZYLAR WILEY Contents FOREWORD ACKNOWLEDGMENTS ABOUT THE AUTHOR INTRODUCTION XV XVII XIX XXI 1 INTRODUCTION TO FINANCIAL MARKETS t 1.1 The Money Market 4 1.2 The Capital

More information

A Multi-Factor, Markov Chain Model for Credit Migrations and Credit Spreads

A Multi-Factor, Markov Chain Model for Credit Migrations and Credit Spreads A Multi-Factor, Markov Chain Model for Credit Migrations and Credit Spreads Jason Z. Wei Rotman School of Management University of Toronto 105 St. George Street Toronto, Ontario, Canada M5S 3E6 Phone:

More information

ECONOMIC AND REGULATORY CAPITAL

ECONOMIC AND REGULATORY CAPITAL ECONOMIC AND REGULATORY CAPITAL Bank Indonesia Bali 21 September 2006 Presented by David Lawrence OpRisk Advisory Company Profile Copyright 2004-6, OpRisk Advisory. All rights reserved. 2 DISCLAIMER All

More information

Goldman Sachs Group UK (GSGUK) Pillar 3 Disclosures

Goldman Sachs Group UK (GSGUK) Pillar 3 Disclosures Goldman Sachs Group UK (GSGUK) Pillar 3 Disclosures For the year ended December 31, 2013 TABLE OF CONTENTS Page No. Introduction... 3 Regulatory Capital... 6 Risk-Weighted Assets... 7 Credit Risk... 7

More information

Analytical Pricing of CDOs in a Multi-factor Setting. Setting by a Moment Matching Approach

Analytical Pricing of CDOs in a Multi-factor Setting. Setting by a Moment Matching Approach Analytical Pricing of CDOs in a Multi-factor Setting by a Moment Matching Approach Antonio Castagna 1 Fabio Mercurio 2 Paola Mosconi 3 1 Iason Ltd. 2 Bloomberg LP. 3 Banca IMI CONSOB-Università Bocconi,

More information

Financial Models with Levy Processes and Volatility Clustering

Financial Models with Levy Processes and Volatility Clustering Financial Models with Levy Processes and Volatility Clustering SVETLOZAR T. RACHEV # YOUNG SHIN ICIM MICHELE LEONARDO BIANCHI* FRANK J. FABOZZI WILEY John Wiley & Sons, Inc. Contents Preface About the

More information

Luis Seco University of Toronto

Luis Seco University of Toronto Luis Seco University of Toronto seco@math.utoronto.ca The case for credit risk: The Goodrich-Rabobank swap of 1983 Markov models A two-state model The S&P, Moody s model Basic concepts Exposure, recovery,

More information

Subject CT8 Financial Economics Core Technical Syllabus

Subject CT8 Financial Economics Core Technical Syllabus Subject CT8 Financial Economics Core Technical Syllabus for the 2018 exams 1 June 2017 Aim The aim of the Financial Economics subject is to develop the necessary skills to construct asset liability models

More information

Credit Migration Matrices

Credit Migration Matrices Credit Migration Matrices Til Schuermann Federal Reserve Bank of New York, Wharton Financial Institutions Center 33 Liberty St. New York, NY 10045 til.schuermann@ny.frb.org First Draft: November 2006 This

More information

STATISTICAL METHODS FOR CATEGORICAL DATA ANALYSIS

STATISTICAL METHODS FOR CATEGORICAL DATA ANALYSIS STATISTICAL METHODS FOR CATEGORICAL DATA ANALYSIS Daniel A. Powers Department of Sociology University of Texas at Austin YuXie Department of Sociology University of Michigan ACADEMIC PRESS An Imprint of

More information

PART II INTERNAL TRANSFER PRICING, ACCOUNTING AND AUDITING

PART II INTERNAL TRANSFER PRICING, ACCOUNTING AND AUDITING Contents Preface Acknowledgments About the author PART I INTRODUCTION 1 1 The History of ALM 3 1.1 The history of the banking industry from antiquity to the Middle Ages 3 1.2 The modern banking industry

More information

Content Added to the Updated IAA Education Syllabus

Content Added to the Updated IAA Education Syllabus IAA EDUCATION COMMITTEE Content Added to the Updated IAA Education Syllabus Prepared by the Syllabus Review Taskforce Paul King 8 July 2015 This proposed updated Education Syllabus has been drafted by

More information

Innovative transition matrix techniques for measuring extreme risk: an Australian and U.S. comparison

Innovative transition matrix techniques for measuring extreme risk: an Australian and U.S. comparison Research Online ECU Publications 2011 2011 Innovative transition matrix techniques for measuring extreme risk: an Australian and U.S. comparison David Allen Akhmad Kramadibrata Robert Powell Abhay Singh

More information

Market Risk Analysis Volume IV. Value-at-Risk Models

Market Risk Analysis Volume IV. Value-at-Risk Models Market Risk Analysis Volume IV Value-at-Risk Models Carol Alexander John Wiley & Sons, Ltd List of Figures List of Tables List of Examples Foreword Preface to Volume IV xiii xvi xxi xxv xxix IV.l Value

More information

Handbook of Financial Risk Management

Handbook of Financial Risk Management Handbook of Financial Risk Management Simulations and Case Studies N.H. Chan H.Y. Wong The Chinese University of Hong Kong WILEY Contents Preface xi 1 An Introduction to Excel VBA 1 1.1 How to Start Excel

More information

New approaches to the pricing of basket credit derivatives and CDO s

New approaches to the pricing of basket credit derivatives and CDO s New approaches to the pricing of basket credit derivatives and CDO s Quantitative Finance 2002 Jean-Paul Laurent Professor, ISFA Actuarial School, University of Lyon & Ecole Polytechnique Scientific consultant,

More information

Validation Mythology of Maturity Adjustment Formula for Basel II Capital Requirement

Validation Mythology of Maturity Adjustment Formula for Basel II Capital Requirement Validation Mythology of Maturity Adjustment Formula for Basel II Capital Requirement Working paper Version 9..9 JRMV 8 8 6 DP.R Authors: Dmitry Petrov Lomonosov Moscow State University (Moscow, Russia)

More information

Applied Quantitative Finance

Applied Quantitative Finance W. Härdle T. Kleinow G. Stahl Applied Quantitative Finance Theory and Computational Tools m Springer Preface xv Contributors xix Frequently Used Notation xxi I Value at Risk 1 1 Approximating Value at

More information

Default Recovery Rates and LGD in Credit Risk Modeling and Practice: An Updated Review of the Literature and Empirical Evidence*

Default Recovery Rates and LGD in Credit Risk Modeling and Practice: An Updated Review of the Literature and Empirical Evidence* Default Recovery Rates and LGD in Credit Risk Modeling and Practice: An Updated Review of the Literature and Empirical Evidence* Edward I. Altman** November 2006 Abstract Evidence from many countries in

More information

2017 IAA EDUCATION SYLLABUS

2017 IAA EDUCATION SYLLABUS 2017 IAA EDUCATION SYLLABUS 1. STATISTICS Aim: To enable students to apply core statistical techniques to actuarial applications in insurance, pensions and emerging areas of actuarial practice. 1.1 RANDOM

More information

UPDATED IAA EDUCATION SYLLABUS

UPDATED IAA EDUCATION SYLLABUS II. UPDATED IAA EDUCATION SYLLABUS A. Supporting Learning Areas 1. STATISTICS Aim: To enable students to apply core statistical techniques to actuarial applications in insurance, pensions and emerging

More information

DEPOSIT INSURANCE AGENCY RUSSIAN FEDERATION STATE UNIVERSITY HIGHER SCHOOL OF ECONOMICS. Literature Review

DEPOSIT INSURANCE AGENCY RUSSIAN FEDERATION STATE UNIVERSITY HIGHER SCHOOL OF ECONOMICS. Literature Review DEPOSIT INSURANCE AGENCY RUSSIAN FEDERATION STATE UNIVERSITY HIGHER SCHOOL OF ECONOMICS Credit Risk Modeling Literature Review for the purposes of evaluation of DI Fund sufficiency on the basis of risk

More information

Dynamic Copula Methods in Finance

Dynamic Copula Methods in Finance Dynamic Copula Methods in Finance Umberto Cherubini Fabio Gofobi Sabriea Mulinacci Silvia Romageoli A John Wiley & Sons, Ltd., Publication Contents Preface ix 1 Correlation Risk in Finance 1 1.1 Correlation

More information

Abstract. Key words: Maturity adjustment, Capital Requirement, Basel II, Probability of default, PD time structure.

Abstract. Key words: Maturity adjustment, Capital Requirement, Basel II, Probability of default, PD time structure. Direct Calibration of Maturity Adjustment Formulae from Average Cumulative Issuer-Weighted Corporate Default Rates, Compared with Basel II Recommendations. Authors: Dmitry Petrov Postgraduate Student,

More information

Modeling Fixed-Income Securities and Interest Rate Options

Modeling Fixed-Income Securities and Interest Rate Options jarr_fm.qxd 5/16/02 4:49 PM Page iii Modeling Fixed-Income Securities and Interest Rate Options SECOND EDITION Robert A. Jarrow Stanford Economics and Finance An Imprint of Stanford University Press Stanford,

More information

Monte Carlo Methods in Finance

Monte Carlo Methods in Finance Monte Carlo Methods in Finance Peter Jackel JOHN WILEY & SONS, LTD Preface Acknowledgements Mathematical Notation xi xiii xv 1 Introduction 1 2 The Mathematics Behind Monte Carlo Methods 5 2.1 A Few Basic

More information

Challenge ICAAP Andreas Weingessel

Challenge ICAAP Andreas Weingessel Challenge ICAAP Andreas Weingessel Group Risk Control Page 1 Agenda Introduction Basel II From Pillar 1 to Pillar 2 Basel II Pillar 2 Risks to be considered Challenges in modeling these risks Enterprise-wide

More information

The Goldman Sachs Group, Inc. PILLAR 3 DISCLOSURES

The Goldman Sachs Group, Inc. PILLAR 3 DISCLOSURES The Goldman Sachs Group, Inc. PILLAR 3 DISCLOSURES For the period ended March 31, 2018 TABLE OF CONTENTS Page No. Index of Tables 1 Introduction 2 Regulatory Capital 5 Capital Structure 6 Risk-Weighted

More information

PART II FRM 2019 CURRICULUM UPDATES

PART II FRM 2019 CURRICULUM UPDATES PART II FRM 2019 CURRICULUM UPDATES GARP updates the program curriculum every year to ensure study materials and exams reflect the most up-to-date knowledge and skills required to be successful as a risk

More information

The Goldman Sachs Group, Inc. PILLAR 3 DISCLOSURES

The Goldman Sachs Group, Inc. PILLAR 3 DISCLOSURES The Goldman Sachs Group, Inc. PILLAR 3 DISCLOSURES For the period ended September 30, 2017 TABLE OF CONTENTS Page No. Index of Tables 1 Introduction 2 Regulatory Capital 5 Capital Structure 6 Risk-Weighted

More information

Financial Risk Management and Governance Credit Risk Portfolio Management. Prof. Hugues Pirotte

Financial Risk Management and Governance Credit Risk Portfolio Management. Prof. Hugues Pirotte Financial Risk Management and Governance Credit Risk Portfolio Management Prof. Hugues Pirotte 2 Beyond simple estimations Credit risk includes counterparty risk and therefore there is always a residual

More information

The Goldman Sachs Group, Inc. PILLAR 3 DISCLOSURES

The Goldman Sachs Group, Inc. PILLAR 3 DISCLOSURES The Goldman Sachs Group, Inc. PILLAR 3 DISCLOSURES For the period ended December 31, 2016 TABLE OF CONTENTS Page No. Index of Tables 1 Introduction 2 Regulatory Capital 5 Capital Structure 6 Risk-Weighted

More information

2 Day Workshop SME Credit Managers Credit Managers Risk Managers Finance Managers SME Branch Managers Analysts

2 Day Workshop SME Credit Managers Credit Managers Risk Managers Finance Managers SME Branch Managers Analysts SME Risk Scoring and Credit Conversion Factor (CCF) Estimation 2 Day Workshop Who Should attend? SME Credit Managers Credit Managers Risk Managers Finance Managers SME Branch Managers Analysts Day - 1

More information

Regulatory Capital Pillar 3 Disclosures

Regulatory Capital Pillar 3 Disclosures Regulatory Capital Pillar 3 Disclosures December 31, 2016 Table of Contents Background 1 Overview 1 Corporate Governance 1 Internal Capital Adequacy Assessment Process 2 Capital Demand 3 Capital Supply

More information

Default risk in corporate yield spreads

Default risk in corporate yield spreads Default risk in corporate yield spreads Georges Dionne, Geneviève Gauthier, Khemais Hammami, Mathieu Maurice and Jean-Guy Simonato January 2009 Abstract An important research question examined in the credit

More information

Market Risk Analysis Volume II. Practical Financial Econometrics

Market Risk Analysis Volume II. Practical Financial Econometrics Market Risk Analysis Volume II Practical Financial Econometrics Carol Alexander John Wiley & Sons, Ltd List of Figures List of Tables List of Examples Foreword Preface to Volume II xiii xvii xx xxii xxvi

More information

Regulatory Capital Pillar 3 Disclosures

Regulatory Capital Pillar 3 Disclosures Regulatory Capital Pillar 3 Disclosures June 30, 2015 Table of Contents Background 1 Overview 1 Corporate Governance 1 Internal Capital Adequacy Assessment Process 2 Capital Demand 3 Capital Supply 3 Capital

More information

Research Paper. Capital for Structured Products. Date:2004 Reference Number:4/2

Research Paper. Capital for Structured Products. Date:2004 Reference Number:4/2 Research Paper Capital for Structured Products Date:2004 Reference Number:4/2 Capital for Structured Products Vladislav Peretyatkin Birkbeck College William Perraudin Bank of England First version: November

More information

Basel II Quantitative Masterclass

Basel II Quantitative Masterclass Basel II Quantitative Masterclass 4-Day Professional Development Workshop East Asia Training & Consultancy Pte Ltd invites you to attend a four-day professional development workshop on Basel II Quantitative

More information

What will Basel II mean for community banks? This

What will Basel II mean for community banks? This COMMUNITY BANKING and the Assessment of What will Basel II mean for community banks? This question can t be answered without first understanding economic capital. The FDIC recently produced an excellent

More information

IRC / stressed VaR : feedback from on-site examination

IRC / stressed VaR : feedback from on-site examination IRC / stressed VaR : feedback from on-site examination EIFR seminar, 7 February 2012 Mary-Cécile Duchon, Isabelle Thomazeau CCRM/DCP/SGACP-IG 1 Contents 1. IRC 2. Stressed VaR 2 IRC definition Incremental

More information

Advanced Concepts in Capturing Market Risk: A Supervisory Perspective

Advanced Concepts in Capturing Market Risk: A Supervisory Perspective Advanced Concepts in Capturing Market Risk: A Supervisory Perspective Rodanthy Tzani Federal Reserve Bank of NY The views expressed in this presentation are strictly those of the presenter and do not necessarily

More information

Modern Derivatives. Pricing and Credit. Exposure Anatysis. Theory and Practice of CSA and XVA Pricing, Exposure Simulation and Backtest!

Modern Derivatives. Pricing and Credit. Exposure Anatysis. Theory and Practice of CSA and XVA Pricing, Exposure Simulation and Backtest! Modern Derivatives Pricing and Credit Exposure Anatysis Theory and Practice of CSA and XVA Pricing, Exposure Simulation and Backtest!ng Roland Lichters, Roland Stamm, Donal Gallagher Contents List of Figures

More information

Introduction to Risk Parity and Budgeting

Introduction to Risk Parity and Budgeting Chapman & Hall/CRC FINANCIAL MATHEMATICS SERIES Introduction to Risk Parity and Budgeting Thierry Roncalli CRC Press Taylor &. Francis Group Boca Raton London New York CRC Press is an imprint of the Taylor

More information

Analyzing the Impact of Credit Migration in a Portfolio Setting

Analyzing the Impact of Credit Migration in a Portfolio Setting SEPTEMBER 17 21 MODELING METHODOLOGY FROM MOODY S KMV Authors Yaakov Tsaig Amnon Levy Yashan Wang Contact Us Americas +1-212-553-1653 clientservices@moodys.com Europe +44.2.7772.5454 clientservices.emea@moodys.com

More information

The Link between Default and Recovery Rates: Implications for Credit Risk Models and Procyclicality

The Link between Default and Recovery Rates: Implications for Credit Risk Models and Procyclicality The Link between Default and Recovery Rates: Implications for Credit Risk Models and Procyclicality Edward I. Altman*, Brooks Brady**, Andrea Resti*** and Andrea Sironi**** April 2002 Abstract This paper

More information

SMEs Credit Risk Modelling for Internal Rating Based Approach in Banking Implementation of Basel II Requirement. Shu-Min Lin

SMEs Credit Risk Modelling for Internal Rating Based Approach in Banking Implementation of Basel II Requirement. Shu-Min Lin SMEs Credit Risk Modelling for Internal Rating Based Approach in Banking Implementation of Basel II Requirement Shu-Min Lin Doctor of Philosophy The University of Edinburgh 2007 Declaration This thesis

More information

Statistical Models and Methods for Financial Markets

Statistical Models and Methods for Financial Markets Tze Leung Lai/ Haipeng Xing Statistical Models and Methods for Financial Markets B 374756 4Q Springer Preface \ vii Part I Basic Statistical Methods and Financial Applications 1 Linear Regression Models

More information

Pillar 3 Regulatory Capital Disclosures

Pillar 3 Regulatory Capital Disclosures Pillar 3 Regulatory Capital Disclosures Advanced Approaches For the quarter ended TABLE OF CONTENTS DISCLOSURE MAP...3 SCOPE OF APPLICATION...4 CAPITAL STRUCTURE...5 CAPITAL ADEQUACY...5 RISK MANAGEMENT

More information

Bachelier Finance Society, Fifth World Congress London 19 July 2008

Bachelier Finance Society, Fifth World Congress London 19 July 2008 Hedging CDOs in in Markovian contagion models Bachelier Finance Society, Fifth World Congress London 19 July 2008 Jean-Paul LAURENT Professor, ISFA Actuarial School, University of Lyon & scientific consultant

More information

Risk Finance and Asset Pricing

Risk Finance and Asset Pricing Risk Finance and Asset Pricing Value, Measurements, and Markets CHARLES S. TAPIERO WILEY John Wiley & Sons, Inc. Contents Introduction xv Who This Book Is For xvi How This Book Is Structured xvii What's

More information

Empirical Dynamic Asset Pricing

Empirical Dynamic Asset Pricing Empirical Dynamic Asset Pricing Model Specification and Econometric Assessment Kenneth J. Singleton Princeton University Press Princeton and Oxford Preface Acknowledgments xi xiii 1 Introduction 1 1.1.

More information

PILLAR 3 DISCLOSURES

PILLAR 3 DISCLOSURES The Goldman Sachs Group, Inc. December 2012 PILLAR 3 DISCLOSURES For the period ended June 30, 2014 TABLE OF CONTENTS Page No. Index of Tables 2 Introduction 3 Regulatory Capital 7 Capital Structure 8

More information

Attilio Meucci. Managing Diversification

Attilio Meucci. Managing Diversification Attilio Meucci Managing Diversification A. MEUCCI - Managing Diversification COMMON MEASURES OF DIVERSIFICATION DIVERSIFICATION DISTRIBUTION MEAN-DIVERSIFICATION FRONTIER CONDITIONAL ANALYSIS REFERENCES

More information

From Financial Engineering to Risk Management. Radu Tunaru University of Kent, UK

From Financial Engineering to Risk Management. Radu Tunaru University of Kent, UK Model Risk in Financial Markets From Financial Engineering to Risk Management Radu Tunaru University of Kent, UK \Yp World Scientific NEW JERSEY LONDON SINGAPORE BEIJING SHANGHAI HONG KONG TAIPEI CHENNAI

More information

Discrete-time Asset Pricing Models in Applied Stochastic Finance

Discrete-time Asset Pricing Models in Applied Stochastic Finance Discrete-time Asset Pricing Models in Applied Stochastic Finance P.C.G. Vassiliou ) WILEY Table of Contents Preface xi Chapter ^Probability and Random Variables 1 1.1. Introductory notes 1 1.2. Probability

More information

VALUE-ADDING ACTIVE CREDIT PORTFOLIO MANAGEMENT

VALUE-ADDING ACTIVE CREDIT PORTFOLIO MANAGEMENT VALUE-ADDING ACTIVE CREDIT PORTFOLIO MANAGEMENT OPTIMISATION AT ALL LEVELS Dr. Christian Bluhm Head Credit Portfolio Management Credit Suisse, Zurich September 28-29, 2005, Wiesbaden AGENDA INTRODUCTION

More information

Computational Statistics Handbook with MATLAB

Computational Statistics Handbook with MATLAB «H Computer Science and Data Analysis Series Computational Statistics Handbook with MATLAB Second Edition Wendy L. Martinez The Office of Naval Research Arlington, Virginia, U.S.A. Angel R. Martinez Naval

More information

Exhibit 2 The Two Types of Structures of Collateralized Debt Obligations (CDOs)

Exhibit 2 The Two Types of Structures of Collateralized Debt Obligations (CDOs) II. CDO and CDO-related Models 2. CDS and CDO Structure Credit default swaps (CDSs) and collateralized debt obligations (CDOs) provide protection against default in exchange for a fee. A typical contract

More information

PILLAR 3 DISCLOSURES

PILLAR 3 DISCLOSURES . The Goldman Sachs Group, Inc. December 2012 PILLAR 3 DISCLOSURES For the period ended December 31, 2014 TABLE OF CONTENTS Page No. Index of Tables 2 Introduction 3 Regulatory Capital 7 Capital Structure

More information

Stochastic Claims Reserving _ Methods in Insurance

Stochastic Claims Reserving _ Methods in Insurance Stochastic Claims Reserving _ Methods in Insurance and John Wiley & Sons, Ltd ! Contents Preface Acknowledgement, xiii r xi» J.. '..- 1 Introduction and Notation : :.... 1 1.1 Claims process.:.-.. : 1

More information

Lecture notes on risk management, public policy, and the financial system Credit risk models

Lecture notes on risk management, public policy, and the financial system Credit risk models Lecture notes on risk management, public policy, and the financial system Allan M. Malz Columbia University 2018 Allan M. Malz Last updated: June 8, 2018 2 / 24 Outline 3/24 Credit risk metrics and models

More information

P2.T6. Credit Risk Measurement & Management. Malz, Financial Risk Management: Models, History & Institutions

P2.T6. Credit Risk Measurement & Management. Malz, Financial Risk Management: Models, History & Institutions P2.T6. Credit Risk Measurement & Management Malz, Financial Risk Management: Models, History & Institutions Portfolio Credit Risk Bionic Turtle FRM Video Tutorials By David Harper, CFA FRM 1 Portfolio

More information

On a Multivariate Markov Chain Model for Credit Risk Measurement

On a Multivariate Markov Chain Model for Credit Risk Measurement On a Multivariate Markov Chain Model for Credit Risk Measurement Tak-Kuen Siu, Wai-Ki Ching, Eric S Fung and Michael K Ng December 2, 2005 Abstract In this paper, we use credibility theory to estimate

More information

DECEMBER 2010 BASEL II - PILLAR 3 DISCLOSURES. JPMorgan Chase Bank, National Association, Madrid Branch INTERNAL CAPITAL ADEQUACY ASSESSMENT PROCESS

DECEMBER 2010 BASEL II - PILLAR 3 DISCLOSURES. JPMorgan Chase Bank, National Association, Madrid Branch INTERNAL CAPITAL ADEQUACY ASSESSMENT PROCESS DECEMBER 2010 BASEL II - PILLAR 3 DISCLOSURES INTERNAL CAPITAL ADEQUACY ASSESSMENT PROCESS JPMorgan Chase Bank, National Association, Madrid Branch Financial year ending December 31, 2010 Disclosures under

More information

Market Variables and Financial Distress. Giovanni Fernandez Stetson University

Market Variables and Financial Distress. Giovanni Fernandez Stetson University Market Variables and Financial Distress Giovanni Fernandez Stetson University In this paper, I investigate the predictive ability of market variables in correctly predicting and distinguishing going concern

More information

Enterprise-wide Scenario Analysis

Enterprise-wide Scenario Analysis Finance and Private Sector Development Forum Washington April 2007 Enterprise-wide Scenario Analysis Jeffrey Carmichael CEO 25 April 2007 Date 1 Context Traditional stress testing is useful but limited

More information

Bloomberg. Portfolio Value-at-Risk. Sridhar Gollamudi & Bryan Weber. September 22, Version 1.0

Bloomberg. Portfolio Value-at-Risk. Sridhar Gollamudi & Bryan Weber. September 22, Version 1.0 Portfolio Value-at-Risk Sridhar Gollamudi & Bryan Weber September 22, 2011 Version 1.0 Table of Contents 1 Portfolio Value-at-Risk 2 2 Fundamental Factor Models 3 3 Valuation methodology 5 3.1 Linear factor

More information

Regulatory Capital Pillar 3 Disclosures

Regulatory Capital Pillar 3 Disclosures Regulatory Capital Pillar 3 Disclosures June 30, 2014 Table of Contents Background 1 Overview 1 Corporate Governance 1 Internal Capital Adequacy Assessment Process 2 Capital Demand 3 Capital Supply 3 Capital

More information

A Non-Random Walk Down Wall Street

A Non-Random Walk Down Wall Street A Non-Random Walk Down Wall Street Andrew W. Lo A. Craig MacKinlay Princeton University Press Princeton, New Jersey list of Figures List of Tables Preface xiii xv xxi 1 Introduction 3 1.1 The Random Walk

More information

A Statistical Analysis to Predict Financial Distress

A Statistical Analysis to Predict Financial Distress J. Service Science & Management, 010, 3, 309-335 doi:10.436/jssm.010.33038 Published Online September 010 (http://www.scirp.org/journal/jssm) 309 Nicolas Emanuel Monti, Roberto Mariano Garcia Department

More information

Frank J. Fabozzi, CFA

Frank J. Fabozzi, CFA SEVENTH EDITION Frank J. Fabozzi, CFA Professor in the Practice of Finance Yale School of Management Boston San Francisco New York London Toronto Sydney Tokyo Singapore Madrid Mexico City Munich Paris

More information

Theoretical Problems in Credit Portfolio Modeling 2

Theoretical Problems in Credit Portfolio Modeling 2 Theoretical Problems in Credit Portfolio Modeling 2 David X. Li Shanghai Advanced Institute of Finance (SAIF) Shanghai Jiaotong University(SJTU) November 3, 2017 Presented at the University of South California

More information

The Basel II Risk Parameters

The Basel II Risk Parameters Bernd Engelmann Robert Rauhmeier (Editors) The Basel II Risk Parameters Estimation, Validation, and Stress Testing With 7 Figures and 58 Tables 4y Springer I. Statistical Methods to Develop Rating Models

More information

The value of a bond changes in the opposite direction to the change in interest rates. 1 For a long bond position, the position s value will decline

The value of a bond changes in the opposite direction to the change in interest rates. 1 For a long bond position, the position s value will decline 1-Introduction Page 1 Friday, July 11, 2003 10:58 AM CHAPTER 1 Introduction T he goal of this book is to describe how to measure and control the interest rate and credit risk of a bond portfolio or trading

More information

RISKMETRICS. Dr Philip Symes

RISKMETRICS. Dr Philip Symes 1 RISKMETRICS Dr Philip Symes 1. Introduction 2 RiskMetrics is JP Morgan's risk management methodology. It was released in 1994 This was to standardise risk analysis in the industry. Scenarios are generated

More information