Measuring and Managing Credit Risk – Trends and Developments

Slides:



Advertisements
Similar presentations
Saving and Investing Tools Carl Johnson Financial Literacy Jenks High School.
Advertisements

Uses and Misuses of Required Economic Capital
Credit Risk: Individual Loan Risk Chapter 11
Economic Risk Capital at Key: The Big Picture. Eric G. Falkenstein 4/14/99 2 Without a true equity allocation, net income information is ambiguous “What.
Chapter 4 Return and Risk. Copyright ©2014 Pearson Education, Inc. All rights reserved.4-2 The Concept of Return Return –The level of profit from an investment,
Copyright ©2004 Pearson Education, Inc. All rights reserved. Chapter 6 Managing Your Money.
The Basics of Risk Management
1 Risk Management at Progressive Insurance How we got started Getting corporate support Capital Management Examples of deliverables The value risk management.
McGraw-Hill /Irwin Copyright © 2004 by The McGraw-Hill Companies, Inc. All rights reserved Chapter Twenty Types of Risks Incurred by Financial Institutions.
CHAPTER 16 Introduction to Credit Risk
1 New Developments in Credit Portfolio Management and Basel II: A New Paradigm: “Underwrite & Distribute” Michel Crouhy PRMIA New York, September 26, 2005.
Irwin/McGraw-Hill 1 Credit Risk: Loan Portfolio and Concentration Risk: Chapter 12 Financial Institutions Management, 3/e By Anthony Saunders.
Copyright © 2007 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin Return and Risk: The Capital Asset Pricing Model (CAPM) Chapter.
Market-Risk Measurement
1 Benchmarking Model of Default Probabilities of Listed Companies Cho-Hoi Hui, Research Department, HKMA Tak-Chuen Wong, Banking Policy Department, HKMA.
INVESTMENT POLICY STATEMENTS AND ASSET ALLOCATION ISSUES
Consequences of Basel II for the individual SME company H.A. Rijken Vrije Universiteit, Amsterdam International Conference Small business banking and financing:
Financial Research Company (FRC) Group 5 By Roger and Tessi.
Return and Risk: The Capital Asset Pricing Model Chapter 11 Copyright © 2010 by the McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin.
CORPORATE RISK MANAGEMENT & INSURANCE BY R P BLAH D.G.M. INCHARGE THE ORIENTAL INSURANCE COMPANY LIMITED REGIONAL OFFICE BHUBANESWAR.
Portfolio Loss Distribution. Risky assets in loan portfolio highly illiquid assets “hold-to-maturity” in the bank’s balance sheet Outstandings The portion.
1 Assessing the impact of IDR on bank’s regulatory capital Eduardo Epperlein & Alan Smillie PRMIA-ISDA Seminar 11 September 2007 The analysis and conclusions.
Investments: Analysis and Behavior Chapter 15- Bond Valuation ©2008 McGraw-Hill/Irwin.
CAPITAL STRUCTURE ANALYSIS Chapter 14. CHAPTER 14 OBJECTIVES Describe the advantages and disadvantages of financial leverage. Describe the advantages.
Portfolio Management Lecture: 26 Course Code: MBF702.
Dynamic Portfolio Management Process-Observations from the Crisis Ivan Marcotte Bank of America Global Portfolio Strategies Executive February 28, 2013.
Chapter Seven Risk Management for Changing Interest Rates: Asset-Liability Management and Duration Techniques McGraw-Hill/Irwin Copyright © 2010 by The.
Integrated Risk architecture: Implementation Issues FICCI - IBA conference on “Global Banking – paradigm shift” on October 5 th 2005.
Credit Risk: Loan Portfolio and Concentration Risk Chapter 12 © 2008 The McGraw-Hill Companies, Inc., All Rights Reserved. McGraw-Hill/Irwin.
Overview of Credit Risk Management practices in banksMarketing Report 1 st Half 2009 Overview of Credit Risk Management practices – The banking perspective.
6 Analysis of Risk and Return ©2006 Thomson/South-Western.
16 Investment Analysis and Portfolio Management First Canadian Edition
Multinational Cost of Capital & Capital Structure 17 Chapter South-Western/Thomson Learning © 2003.
1 QUANTITATIVE RISK MANAGEMENT AT ABN AMRO Jan Sijbrand January 14th, 2000.
Risks and Rates of Return
Credit Risk: Loan Portfolio and Concentration Risk Chapter 12 © 2006 The McGraw-Hill Companies, Inc., All Rights Reserved. K. R. Stanton.
Robert Jarrow1 A Critique of Revised Basel II. Robert Jarrow2 1. Conclusions.
Finance and Economics: The KMV experience Oldrich Alfons Vasicek Chengdu, May 2015.
Chapter 10 Capital Markets and the Pricing of Risk.
Presented at: 1998 DFA Seminar July 13-14, 1998 Presented at: 1998 DFA Seminar July 13-14, 1998 lmn Dynamic Financial Analysis: Objectives & Design Gerald.
Chapter 24 Principles of Corporate Finance Eighth Edition Credit Risk Slides by Matthew Will Copyright © 2006 by The McGraw-Hill Companies, Inc. All rights.
CHAPTER 12 Credit Risk: Loan Portfolio and Concentration Risk Copyright © 2011 by The McGraw-Hill Companies, Inc. All Rights Reserved.McGraw-Hill/Irwin.
Chapter McGraw-Hill/Irwin Copyright © 2008 by The McGraw-Hill Companies, Inc. All rights reserved. Risk and Capital Budgeting 13.
1 Economic Benefits of Integrated Risk Products Lawrence A. Berger Swiss Re New Markets CAS Financial Risk Management Seminar Denver, CO, April 12, 1999.
Filename Copyright © 2002 ERisk CAS Ratemaking Seminar 2002 Peter Nakada Global Head of Consulting, ERisk March 2002.
Multinational Cost of Capital & Capital Structure.
Jim Rozsypal Partner Risk Management Practice - Ernst & Young ERM Symposium focus | support | accelerate t.
McGraw-Hill/Irwin Copyright © 2008 by The McGraw-Hill Companies, Inc. All rights reserved CHAPTER 11 An Alternative View of Risk and Return The Arbitrage.
Lotter Actuarial Partners 1 Pricing and Managing Derivative Risk Risk Measurement and Modeling Howard Zail, Partner AVW
Copyright ©2003 South-Western/Thomson Learning Chapter 5 Analysis of Risk and Return.
1 Banking Risks Management Chapter 8 Issues in Bank Management.
A Rating Agency Perspective Marc Daly Nik Khakee.
CHAPTER 5 CREDIT RISK 1. Chapter Focus Distinguishing credit risk from market risk Credit policy and credit risk Credit risk assessment framework Inputs.
© 2012 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part, except for use as permitted in a license.
1 Chapter 20 Bank Performance Financial Markets and Institutions, 7e, Jeff Madura Copyright ©2006 by South-Western, a division of Thomson Learning. All.
© 2012 Cengage Learning. All Rights Reserved. May not scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part. Chapter.
Ratio Analysis. Use of Ratio Analysis To analyse Performance Liquidity Shareholder Investment.
Structural Models. 2 Source: Moody’s-KMV What do we learn from these plots? The volatility of a firm’s assets is a major determinant of its.
1 COMMERCIAL BANK MANAGEMENT 1. 2 MEASURING AND EVALUATING THE PERFORMANCE OF BANKS PERFORMANCE REFERS TO HOW ADEQUATELY A BANK MEETS THE OBJECTIVES IDENTIFIED.
KMV Model.
Copyright © 2017, 2014, 2011 Pearson Education, Inc. All Rights Reserved Personal Finance SIXTH EDITION Chapter 18 Asset Allocation.
Market-Risk Measurement
Credit Risk: Individual Loan Risk Chapter 11
Multinational Cost of Capital & Capital Structure
Measuring Actuarial Default Risk
Chapter 6 The Risk Structure and Term Structure of Interest Rates
Global Equity Markets.
Credit Risk Assessment Framework
Presentation transcript:

Measuring and Managing Credit Risk – Trends and Developments Dave Wright Director Moody’s KMV dave.wright@mkmv.com

The Trend Towards Superior credit performance Why manage credit risk? How to manage Credit Risk?  

1 Introduction

The Trend Towards Superior Credit Portfolio Performance: 4 Stages Active Portfolio Management Stage 4 - Reduce concentrations Improve returns on risk & capital Portfolio Risk Measurement Stage 3 Measure portfolio risk Calculate & allocate economic capital Optimize credit limits Counterparty Risk Management Stage 2 Implement & validate internal rating models Measure PDs, LGDs & EADs Take early action for high-risk exposures Data & Infrastructure Stage 1 Collect, organize & store customer data Implement internal rating framework

The Trend Towards Superior Credit Portfolio Performance: 4 Stages Active Portfolio Management Stage 4 - Reduce concentrations Improve returns on risk & capital Portfolio Risk Measurement Stage 3 Measure portfolio risk Calculate & allocate economic capital Optimize credit limits Counterparty Risk Management Stage 2 Implement & validate internal rating models Measure PDs, LGDs & EADs Take early action for high-risk exposures Data & Infrastructure Stage 1 Collect, organize & store customer data Implement internal rating framework

Credit Risky Assets Credit insurance Receivables Lending portfolios Treasury assets Credit insurance Receivables Lending portfolios Investment portfolio Financial Institutions – reinsurance

2 Why mange credit risk?

Is credit risk management……… For some, managing credit risk is a defensive skill - trying to stop bad things happening, or reduce the impact of bad things. However its not quite that simple………………..

and that is because…..…. The major concern in credit risk is seldom from large numbers of small – even risky – borrowers but from excellent risks that collapse without much warning inadvertent concentrations of creditors that turn out to be highly correlated… ….of which more later

Investment Grade Rating Prior To Default 2002

Investment Grade Rating Prior To Default 2003-2006

What do we mean by managing the credit portfolio? Understanding the component parts of the portfolio and how they interact together This then enables us to measure the risk in the portfolio – the commonly accepted way of doing this is through measuring Economic Capital. Economic capital loss the Language if risk in the portfolio Once we can measure Economic capital we can also measure risk and return of the credit assets – either at the institution, business line or individual asset level

Why manage the credit portfolio - Benefits Reduces the potential for volatility in profits Better external communication Better customer profitability analysis Improve strategic planning – better more cohesive Improved risk based performance measurement Enables concentration management and industry exposure capacity creation Opens opportunities for new business lines / profit generating activity (e.g where no appetite currently exists)

3 How manage Credit Risk?  

Counterparty Credit Risk Rating Data Capture Data Infrastructure Ratings and Models Output Market data Qualitative Quantitative Risk Rating Framework Portfolio Mgmt. Credit Review Lending: Treasury: Investment Reinsurance: Credit Insurance Other data Development of Sophisticated Credit Risk Models Internal models External models Statistical Expert Ratings Data drives models Data sources? Enhanced risk management CONSISTENT PROCESS ACROSS THE ORGANISATION

Market Measures Have Proven to Provide Months of Early Warning 1-year EDF Moody’s Rating S&P’s Rating Fibermark is based in Vermont, USA and has facilities in both USA and Europe. Fibermark produces specialty paper and nonwoven materials that are used, for example, in vacuum cleaner bags, insulating panels, and specialty tapes. After reporting a loss of $7.69 per share at the end of March 2004, the company filed for Chapter 11 protection. The company failed to recover from declining income margins that started in 2001 and was not able to take advantage of a July 2003 reorganization that lead to a reduction of its workforce by 9%. Source: Credit Monitor

Fibermark Inc. : EDF vs. Spread to Treasury 1-year EDF Fibermark’s EDF anticipates the change in the cash market by 6-months Fibermark’s 10.750% 04/15/11 spread to Treasury Source: CreditEdge

Differentiating Credit Models point-in-Time PDs from Traditional Ratings Models of Credit Quality Quantitative components Quantitative Output EDF = 0.02% (An actual probability of default) Absolute (Cardinal) Precise and continuous, providing full granularity (high resolution) Specific time horizon No credit cycle view Dynamic, updated daily or monthly Reflects issuer’s default probability (PD), and not issue-specific LGD Traditional Ratings Qualitative Method Qualitative Output AAA = “Obligor’s capacity to meet its financial commitment on the obligation is extremely strong.” Relative (Ordinal) Distinct risk buckets without specifying or targeting a specific default rate No specific time horizon (“long term”) Supposed to be through the cycle Stable (low ratings volatility) Opinion on Expected Loss – combines the effect of PD and LGD (Loss Given Default)b

What is Economic Capital? The aggregate amount of equity capital required as a cushion for Unexpected Losses due to credit risks, given the institution’s target financial strength Risk is measured objectively in terms of economic reality using modeling techniques Provides a common yardstick to measure, evaluate, manage, and price a wide range of risks Required economic capital has become the language of risk at leading Financial Institutions An accurate, granular credit portfolio model is essential for making good credit origination, pricing, and portfolio decisions

Economic Capital Drivers Portfolio Credit Risk Exposure Credit Risk Correlation in Exposure Values Default Probability Default and Asset Correlation LGD Maturity EaD Amount Held Country Industry Size Individual Exposure Risk Drivers are PD, LGD, EAD and Maturity Portfolio Risk Drivers are Exposure Concentration and Size Exposure Correlation The degree to which a customer is sensitive to the business cycle and will change credit quality together with other customers Key determinants - industry, geography and size Small firms tend to have less systematic risk and more firm specific risk

What is Credit Correlation? Financial Institutions don’t fail from the occasional default, they fail when simultaneous defaults occur Correlation is the degree to which a customer is sensitive to the business cycle Key determinants of correlation include the industry, geography and size. Greater correlation within a portfolio leads to higher economic capital requirements

Correlation = 0.95 Great Year Company A Bad Year Company B Great Year

Importance of Concentration and Portfolio Credit Correlation Ignoring single-name, country and industry concentration and specific measures of systematic risk will not produce the correct signals to manage the portfolio well Regulatory capital does not measure the degree to which concentration and portfolio credit correlation affect portfolio credit risk and required economic capital Portfolio credit correlation is not intuitive – there are too many moving parts that affect the measure For example even in a simple case of hedging large or deteriorating credit exposures, without a portfolio model it is impossible to know the right amount of hedging

Expected Loss, Unexpected Loss, and Tail Risk Tail Risk measures the likelihood of extreme losses Portfolio 1 Expected Loss is the average loss Portfolio 2 Unexpected Loss measures the variability around the Expected Loss (one standard deviation)

Portfolio Loss Distribution Rarely, the portfolio has very large losses Most of the time, the portfolio has smaller than the Expected Loss Sometimes, the portfolio has losses equivalent to the Expected Loss Probability $0 EL Loss

Portfolio Required Economic Capital Probability The level of economic capital implies a probability of capital exhaustion and an associated debt rating Given the portfolio loss distribution and a target debt rating, the required economic capital may be inferred A Aa Aaa Economic Capital

Total Stand-alone Risk Unexpected Loss (UL) What is the right way of thinking about portfolio risk? How do we allocate risk? Portfolio Capital needs to be allocated to exposures to facilitate decision making. How should we allocate Portfolio Capital? A simulation-based portfolio model is the only way to measure Risk Contribution accurately Total Stand-alone Risk Unexpected Loss (UL) Diversified away by the Portfolio Risk Contribution (Risk retained in the Portfolio) Systematic risk - Undiversifiable

Impact on Portfolio Risk Contribution bps

Impact on Return/Risk Ratio

Major Trend Toward Credit Portfolio Management Actively managing the credit portfolio began among a few leading edge institutions in the late 1990s, mainly to: Reduce concentrations and unexpected losses Increase capital velocity Improve returns on risk and capital Especially since 2003, there has been an acceleration in adoption and use of active credit portfolio management among other institutions What convinced senior management at these institutions to pursue active credit portfolio management? Large credit losses in 2000 – 2002 Better liquidity in credit instruments, including CDS and CDOs Success stories among their leading-edge peers in reducing concentrations and improving returns on risk and economic capital

Measuring and Managing Credit Risk – Trends and Developments Dave Wright Director Moody’s KMV dave.wright@mkmv.com