Using the World Industry Service to Stress Test Credit Portfolios. November 2008
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1 Using the World Industry Service to Stress Test Credit Portfolios November 2008
2 Agenda Outline for for stress-testing the country and industry components of credit portfolios Introduction to Models, Tools and Methods Example of the Migration of Credit Quality in a Portfolio under a Custom Scenario Copyright 2008 IHS Global Insight. All Rights Reserved. 2
3 Framework for Stress Testing Credit Portfolios Evaluate the impact of stress factors on portfolio credit quality resulting from hypothetical events relating to macroeconomic environments, government policy and industry changes Analyze the impact on the portfolio of unlikely but plausible events Derive the sector and portfolio impacts of alternate House Views Calculate the expected migration of credit quality and expected losses Asses capital requirements on a country and industry level Identify groups of correlated industries that improve/deteriorate together Determine which risk factors are driving the change Determine the geographical composition of the industry changes References for Stress Testing of Portfolios: Lopez, J., 2005 Stress Tests: Useful Complements to Financial Risk Models, FRBSF Economic Letter, June 2005, Sorge, M "Stress-Testing Financial Systems: An Overview of Current Methodologies." Working paper no. 165, Monetary and Economic Department, Bank for International Settlements. Copyright 2008 IHS Global Insight. All Rights Reserved. 3
4 Two Common Techniques for Stress Testing of Sectors and Portfolios 1) Scenario Tests Risk managers identify portfolio s key financial drivers & then formulate scenarios in which these drivers are stressed beyond standard VAR levels Event-driven approach analysis addresses the manner in which plausible but unlikely events might affect the risk factors relevant to a portfolio 2) Sensitivity Tests Assess the impact of large movements in financial variables on portfolio, without specifying the reasons for such movements Examples include 100 bps increase across the yield curve, sudden 20% depreciation of currency, $20/bbl rise in oil prices Develop rationale and design for macro & industry level scenarios & simulations for the purpose of assessing impacts on credit quality in portfolio segments Use analytical tools and economic models to simulate sensitivity tests and macro environments; Derive the sector impacts on sales, pricing, profits, capex; Calculate the changes in Sector Risk Ratings and the credit prospects for sectors, portfolios Quantify likely changes in migration patterns in sector credit quality Copyright 2008 IHS Global Insight. All Rights Reserved. 4
5 Process for Scenario Stress Testing of Portfolios Flow Chart of Basic Steps for Stress Testing Identify Stress Factors Simulate Macro Models to Derive Industry Drivers Simulation of Industry Performances Asses Impact On Risks & Portfolio Credit Quality Common Stress Factors include: Oil Prices GDP Growth Inflation Interest Rate Currency Exchange Rate Policy Use Global Insight Economic Models of Macro & Industry to calculate the response to a range of scenarios WIS provides the Link between macro Economic scenarios & performance of portfolio exposures Project portfolio credit migration Determine which sectors are correlated in their performance under various scenario conditions Use impacts on Sector Sales, Profits, CapEx and Free Cash Flow to calculate changes in credit quality for sectors and whole portfolios Calculate impacts on key financial ratios used in agency ratings Determine extent to which the movement in credit metrics result in rating changes and credit migration Copyright 2008 IHS Global Insight. All Rights Reserved. 5
6 Methodology: Identification of Stress Factors Identify Stress Factors Simulate Macro Models to Derive Industry Drivers Simulation of Industry Performances Assess Impact on Portfolio Credit Quality Common Stress Factors: Oil prices GDP growth Inflation Interest rate Currency Policy Select Stress Factors That Could Threaten Key Industries in The Portfolio Under Review: Energy-intensive industries are sensitive to changes in oil prices Export-oriented industries are sensitive to changes in currencies, foreign demand Timing & magnitude of business cycles in countries / regions around the world drive key client markets and supply links Copyright 2008 IHS Global Insight. All Rights Reserved. 6
7 How or Where are You Vulnerable? What Events Are Disruptive to Strategic or Tactical Plans? Common Examples of Stress Test Factors: Chemical Company How will demand migrate geographically, where to source production? But What If that demand pattern is disrupted? What could cause the disruption? Economic Development Agency Which Technologies or Markets will have the biggest impact on Investments and Employment? But What if those technologies or markets do not work out as planned? Bank What are the macro economic impacts on credit quality in the Portfolio? But What if the macro economy develops in a different manner than planned? Copyright 2008 IHS Global Insight. All Rights Reserved. 7
8 Methodology: Next Step is Macro Simulation Identify Stress Factors Simulate Macro Models to Derive Industry Drivers Simulation of Industry Performances Assess Impact on Portfolio Credit Quality Use Macroeconomic Models to stress-test key macro components that drive industry output: Private consumption (household spending) Public consumption (government spending) Capital expenditures (investment by firms in building, machinery, etc., including construction investment) Exports & Imports Interest rates & Exchange rates Employment & Wages Copyright 2008 IHS Global Insight. All Rights Reserved. 8
9 Methodology: Next Derive Industry Impacts Identify Stress Factors Simulate Macro Models to Derive Industry Drivers Simulate of Industry Performances Assess Impact on Portfolio Credit Quality Simulate effect on industry indicators Sales Profits Operating and Capital Expenditures Free Cash Flow Pricing Power Impact on Domestic final demand vs B2B markets vs Foreign Trade Copyright 2008 IHS Global Insight. All Rights Reserved. 9
10 Industry Impacts on Sales and Profits Are Applied to Directly to the Portfolio Exposures Simulation of Industry Performances Impact on Nominal Industry Profits (Compound Growth ) Baseline Scenario Difference in Growth Rate Impacts on industry Profits are driven by Sales patterns and costs All Private Industries Agriculture Mining Degree Of Operating Leverage (DOL) for industries is usually > 1 Manufacturing Utilities Construction The higher the DOL, the more volatile are profits relative to sales Wholesale & Retail, Restaurants & Hotels Transport, Storage & Communication Finance, Insurance, Real Estate & Business Services In this example scenario Mining has a high DOL, social services has the smallest DOL Community, Social & Personal Services Copyright 2008 IHS Global Insight. All Rights Reserved. 10
11 Methodology: Industry Impacts Drive Migration of Portfolio Credit Quality Identify Stress Factors Simulate Macro Models to Derive Industry Drivers Simulation of Industry Performances Assess Impact on Portfolio Credit Quality Use Impacts on Industry Sales, Profits, Capex, Free Cash Flow to Derive Changes in Credit Quality for Industries and Custom Portfolios: Prepare Portfolio: Aggregate up into industry-level Peer Group totals Calculate the Key Financial Ratios for Each Industry that are Used by Rating Agencies to determine rating bucket assignments (e.g. AAA, AA, etc.) Calculate the impact of WIS stress-tested industry indicators on these Ratios Determine the extent to which changes in Financial Ratios affect the rating bucket of the different industry-level composites and of the overall portfolio Copyright 2008 IHS Global Insight. All Rights Reserved. 11
12 Financial Ratios are the Gearbox that Links WIS Industries with Clients Portfolios WIS Industries Financial Ratios are the Conduit to Translate the Macro and Industry Impacts down to Portfolio Credit Migration Industry Peer Groups from Portfolio Portfolio Exposures Growth of Sales and Profits CapEx and Free Cash Flow EBIT, EBITDA Interest Coverage Funds From Operations as % of Total Debt Weight of Debt Return on Capital Total Debt as % of EBITDA Copyright 2008 IHS Global Insight. All Rights Reserved. 12
13 Review Of The Process for Stress Testing the Industry Components of a Credit Portfolio (Hypothetical Scenario) Macro Economy GDP falls 5% Industry Impacts Sales Fall 10% Financial Ratios are the Gearbox that Allows a Linkage from the Macroeconomy down through Industries to the Portfolio Industry Financial Indicators e.g. Profits, Margins, CapEx, FCF Financial Ratios of the Portfolios Own Exposure Credit Migration (Change in Ratings Bucket ) By Industry, Entire Portfolio The Extent of Migration in Portfolio Credit Quality, Under the Scenario, is Shown by Changes in Financial Ratios Copyright 2008 IHS Global Insight. All Rights Reserved. 13
14 Create Industry Composites of Peer Groups out of Portfolio Exposure to Individual Companies Financial Ratios of Energy Companies in the Portfolio Aggregated into Peer Groups Total AAA s A s BBB s Exxon Schlum berger Ltd. Apache Corp. Conoco- Phillips Devon Energy Corp. Sunoco Inc. Anadarko Petroleum Current Credit Rating AAA A+ A- A- BBB BBB BBB- EBIT Interest Coverage EBITDA Interest Coverage Funds from Operations (FFO) / Total Debt Weight of Debt Return on Capital=EBIT / Total Capital Total debt / EBITDA Copyright 2008 IHS Global Insight. All Rights Reserved. 14
15 Key Financial Ratios Describe the Characteristics of Each Rating Bucket Key Financial Ratios Buckets for Energy Companies Organize (aggregate) the companies in the portfolio into rating buckets, e.g. single A (5), BBB (7), BB (7), B (7) EBIT Interest Coverage AAA >50 AA A BBB BB 3-year Median* B 0-10 Total Portfolio Exposure 25.49=A+ Determine, for each rating criteria (financial ratio), the threshold ranges for each of the buckets for each Peer Group Aggregate the ratings peer groups up to a total for the entire industry exposure in the portfolio EBITDA Interest Coverage Funds from Operations (FFO) / Total Debt Return on Capital=EBIT / Total Capital Total debt / EBITDA Number of companies >50 >5 > <0.3 <10 > = AA = A = A- 0.53=A A *weighted (by sales) average value of each financial ratio indicator is calculated for 2004, 2005 and 2006 and median of 3 years is taken Copyright 2008 IHS Global Insight. All Rights Reserved. 15
16 Changes in Key Financial Ratios Are Determined by the Degree of the Industry Model Impacts on Profits and Spending Key Financial Ratios Buckets for Energy Companies 1. Industry Profits & Spending Impacts are Quantified with WIS Industry Model 2. The Portfolio Peer Groups' EBIT, EBITDA, and FFO are each determined by industry patterns A move from one Bucket to Another represents a Migration in the Credit Quality EBIT Interest Coverage EBITDA Interest Coverage Funds from Operations (FFO) / Total Debt Return on Capital=EBIT / Total Capital Total debt / EBITDA Number of companies AAA >50 >50 >5 > AA A BBB BB B 3-year Median* < < > Baseline Portfolio A AA A A A A Scenario Portfolio BBB A 1.19 A BBB BBB+ BBB+ *weighted (by sales) average value of each financial ratio indicator is calculated for 2004, 2005 and 2006 and median of 3 years is taken. Copyright 2008 IHS Global Insight. All Rights Reserved. 16
17 Scenario Impact on Portfolio Credit Migration Sector Migration in Credit Quality (Numbers in Parentheses are Sector Shares in Portfolio) Client Portfolio Organized by Sector BBB+ => BBB Consumer Discretionary (10.4%) BBB- => BB+ Consumer Staples (9.3%) BBB+ => BBB+ Energy (9.3%) A => BBB+ Financials (22.2%) A => BBB+ Healthcare (12.4%) BBB+ => BBB Industrials (11.1%) A- => BBB+ Information Technology (15.5%) BBB- => BBB- Materials (2.9%) A =>BBB+ Telecommunication Services (3.5%) BBB- => BBB- Utilities (3.4%) BBB+ => BBB+ Copyright 2008 IHS Global Insight. All Rights Reserved. 17
18 Thank you Mark Killion, CFA Managing Director, World Industry Service Natasha Muravytska Product Manager Financial Applications, World Industry Service
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