intro to credit, credit analysis, and credit ratings-ratings-2014.pdfneri bukspan partner ernst...

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New York University Leonard N. Stern School of Business Department of Accounting Credit Ratings and Fixed-Income Credit Analysis ACCT-GB.3108.10 Fall-2 2014 (Nov. 6 – Dec. 18, 2014) Mark Adelson Chief Strategy Officer The BondFactor Company Neri Bukspan Partner Ernst & Young Intro to Credit, Credit Analysis, and Credit Ratings November 6, 2014

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Page 1: Intro to Credit, Credit Analysis, and Credit Ratings-Ratings-2014.pdfNeri Bukspan Partner Ernst & Young Intro to Credit, Credit Analysis, and Credit Ratings November 6, 2014

New York University

Leonard N. Stern School of Business

Department of Accounting

Credit Ratings and Fixed-Income Credit Analysis ACCT-GB.3108.10 Fall-2 2014 (Nov. 6 – Dec. 18, 2014)

Mark Adelson

Chief Strategy Officer

The BondFactor Company

Neri Bukspan

Partner

Ernst & Young

Intro to Credit, Credit Analysis, and Credit Ratings

November 6, 2014

Page 2: Intro to Credit, Credit Analysis, and Credit Ratings-Ratings-2014.pdfNeri Bukspan Partner Ernst & Young Intro to Credit, Credit Analysis, and Credit Ratings November 6, 2014

What is Credit (Debt)?

• Money owed

• Not an equity interest

• Principal and Interest only

– Not as much “upside” as equity

• A traditional corporate bond is an “IOU” or a promise to pay from a company

• Credit relationships are everywhere

• May be secured or unsecured or carry ‘preferences’

$1,000 Bond ~~~~~~~~~~~~~~~~~ ~~~~~~~~~~~~~~~~~ ~~~~~~~~~~~~~~~~~ ~~~~~~~~~~~~~~~~~ ~~~~~~~~~~~~~~~~~ ~~~~~~~~~~~~~~~~~

2

Page 3: Intro to Credit, Credit Analysis, and Credit Ratings-Ratings-2014.pdfNeri Bukspan Partner Ernst & Young Intro to Credit, Credit Analysis, and Credit Ratings November 6, 2014

U.S. Domestic Non-Financial Debt

12.57

2.93

9.86

3.17

0.26

7.37

4.27

Federal Gov't

State & Local Gov't

Home Mortgage

Consumer Credit

Other Household

Corporate

Other Business

Debt Outstanding as of 6/30/2014 ($ Trillions)

Source: Federal Reserve, Flow of Funds Accounts of The United States, Table L.2

3

Page 4: Intro to Credit, Credit Analysis, and Credit Ratings-Ratings-2014.pdfNeri Bukspan Partner Ernst & Young Intro to Credit, Credit Analysis, and Credit Ratings November 6, 2014

Comparative Amounts

23.59

Domestic

Non-Financial,

40.44

7.37

Rest of World

Rest of World

Financial

Sectors,

13.95

Financial

Sectors,

37.15

0

10

20

30

40

50

60

Debt Owed by Debt Held by U.S. Equity Market Cap

Sources: Federal Reserve, Flow of Funds Accounts of The United States, Table L.1;

Bloomberg WCAUUS <index>

as of 6/30/2014 ($ Trillions)

4

Page 5: Intro to Credit, Credit Analysis, and Credit Ratings-Ratings-2014.pdfNeri Bukspan Partner Ernst & Young Intro to Credit, Credit Analysis, and Credit Ratings November 6, 2014

U.S. Capital Market Debt

0 2 4 6 8 10 12

U.S. Treasury Securities

Federal Agency Debt

Agency RMBS

Corporate Bonds (financial)

Corporate Bonds (non-financial)

Municipal Bonds

ABS (incl. CDOs)

Non-agency RMBS

as of 6/30/2014 ($ Trillions)

Sources: Federal Reserve, Flow of Funds Accounts of The United States; SIFMA

5

Page 6: Intro to Credit, Credit Analysis, and Credit Ratings-Ratings-2014.pdfNeri Bukspan Partner Ernst & Young Intro to Credit, Credit Analysis, and Credit Ratings November 6, 2014

Credit Process Basics

• Lending money out

– Whether to lend/invest

– How much to lend/invest

– What is the risk premium (i.e., spread)

• Getting it back

– Paid as due

– Collecting on defaulted debts

– Dealing with bankruptcy

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Page 7: Intro to Credit, Credit Analysis, and Credit Ratings-Ratings-2014.pdfNeri Bukspan Partner Ernst & Young Intro to Credit, Credit Analysis, and Credit Ratings November 6, 2014

What is Credit Quality?

• How close is a borrower to defaulting (miss making

required payments)?

– Likelihood/probability approach

– Scenario approach (e.g., recession, depression, etc.)

• If the borrower does default, will the lender's loss

be large or small?

– Expected loss approach

• How stable is the borrower's credit quality over

time?

• What are the drivers of each of the above items?

• Multi-dimensional

7

Page 8: Intro to Credit, Credit Analysis, and Credit Ratings-Ratings-2014.pdfNeri Bukspan Partner Ernst & Young Intro to Credit, Credit Analysis, and Credit Ratings November 6, 2014

Drivers of Credit Quality

• Ability to pay

– Sources of repayment

• Future cash flows from operations

• Future cash flows from specific assets

• Liquidation of assets

• Guarantees or other support arrangements

– Competing claims on available resources

– You can’t get blood from a stone

• Willingness to pay

– Enforcement is expensive

– Enforcement is not always possible

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Page 9: Intro to Credit, Credit Analysis, and Credit Ratings-Ratings-2014.pdfNeri Bukspan Partner Ernst & Young Intro to Credit, Credit Analysis, and Credit Ratings November 6, 2014

Analyzing Credit Quality

• Quantitative and qualitative factors

• Part science, part art

• Consider scenarios: probable, reasonably likely,

unlikely, remote

ProbableReasonably LikelyUnlikelyRemote

9

Page 10: Intro to Credit, Credit Analysis, and Credit Ratings-Ratings-2014.pdfNeri Bukspan Partner Ernst & Young Intro to Credit, Credit Analysis, and Credit Ratings November 6, 2014

Analyzing Credit Quality

Example: Residential Mortgage Loan

• Credit reputation

– FICO® score

– Credit history

– Stability factors (time in home/job)

• Capacity

– Monthly debt payments vs. stable monthly income

– Financial reserves

• Collateral

– Amount of loan vs. value of the property

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Page 11: Intro to Credit, Credit Analysis, and Credit Ratings-Ratings-2014.pdfNeri Bukspan Partner Ernst & Young Intro to Credit, Credit Analysis, and Credit Ratings November 6, 2014

Analyzing Credit Quality

Example – Business Exposures

• Corporates

– Country risk

– Industry risk

– Competitive position

– Cash flow

– Profitability

– Leverage

– Diversification

– Capital structure

– Liquidity

– Management

• Financial firms

– Country risk

– Asset quality

– Reserves

– Leverage

– Capital structure

– Off-balance sheet

– Maturity matching

– Regulation

– Reputation

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Page 12: Intro to Credit, Credit Analysis, and Credit Ratings-Ratings-2014.pdfNeri Bukspan Partner Ernst & Young Intro to Credit, Credit Analysis, and Credit Ratings November 6, 2014

What Comes after Credit Analysis?

• Mitigate risk

• Price risk

• Consider

opportunity cost

• Decide

12

T

Page 13: Intro to Credit, Credit Analysis, and Credit Ratings-Ratings-2014.pdfNeri Bukspan Partner Ernst & Young Intro to Credit, Credit Analysis, and Credit Ratings November 6, 2014

What is a Rating? – Dictionary Definition

• A position assigned on a scale; a standing

• a. A classification according to specialty or proficiency, as of

a member of the armed forces. b. Chiefly British An enlisted

person in the navy

• An evaluation of the financial status of a business or

person: a credit rating

• A specified performance limit, as of capacity, range, or

operational capability: the power rating of a light fixture

• The popularity of a television or radio program as estimated

by a poll of segments of the audience

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Page 14: Intro to Credit, Credit Analysis, and Credit Ratings-Ratings-2014.pdfNeri Bukspan Partner Ernst & Young Intro to Credit, Credit Analysis, and Credit Ratings November 6, 2014

Examples of Ratings (Credit & Non-Credit)

• MPAA movie ratings (child suitability)

• Roger Ebert's movie ratings

• Gasoline octane ratings (87, 91, 93)

• Underwriters Laboratories (est. 1894)

• Good Housekeeping Seal, GHRI

• FICO® consumer credit ratings

• Consumer Reports

• National Baseball Hall of Fame

• Value Line® Timeliness Ranking System

• Miss America, Miss Universe

• Morningstar Ratings™

• Broker-dealer buy/hold/sell ratings

• Bond ratings (today's topic)

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Page 15: Intro to Credit, Credit Analysis, and Credit Ratings-Ratings-2014.pdfNeri Bukspan Partner Ernst & Young Intro to Credit, Credit Analysis, and Credit Ratings November 6, 2014

Attributes of Rating Systems

• Prospective vs. historical

• Grading/ranking scale vs. pass/fail

• Relative vs. absolute

• Multi-dimensional vs. one-dimensional

– Factor weightings

• Designed for specific purpose

• Defined by their related rating organizations

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Page 16: Intro to Credit, Credit Analysis, and Credit Ratings-Ratings-2014.pdfNeri Bukspan Partner Ernst & Young Intro to Credit, Credit Analysis, and Credit Ratings November 6, 2014

Why Have Credit Ratings?

• Reduce information asymmetry

• Tool for decision-making

– Investment policy or regulatory standard

• Division of labor

• Specialized expertise

• Comparative advantage

• Reduced cost

• Increased efficiency

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Page 17: Intro to Credit, Credit Analysis, and Credit Ratings-Ratings-2014.pdfNeri Bukspan Partner Ernst & Young Intro to Credit, Credit Analysis, and Credit Ratings November 6, 2014

Desirable Features of a Rating System

• Understandable

• Reliable, accurate

• Timely

• Useful (to whom, for what)

– Comparison

– Qualification

– Decision-making

• Rating organization must try to meet the needs of its customers

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Page 18: Intro to Credit, Credit Analysis, and Credit Ratings-Ratings-2014.pdfNeri Bukspan Partner Ernst & Young Intro to Credit, Credit Analysis, and Credit Ratings November 6, 2014

U.S. Bond Rating Agencies (registered with the SEC)

• A.M. Best Company, Inc.

• DBRS

• Egan-Jones Ratings

• Fitch

• HR Ratings de México

• Japan Credit Rating Agency

• Kroll Bond Rating Agency

• Moody’s Investors Service

• Morningstar

• Standard & Poor’s

NRSRO

Nationally

Recognized

Statistical

Rating

Organization

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Page 19: Intro to Credit, Credit Analysis, and Credit Ratings-Ratings-2014.pdfNeri Bukspan Partner Ernst & Young Intro to Credit, Credit Analysis, and Credit Ratings November 6, 2014

Rating Agency = Publishing Company

• Each has its own definition of “credit quality”

• Each defines its own ratings

• Each defines its own rating scale and rating symbols

• Each defines its own criteria or methodology

• Rating is an editorial

• Bond rating is an opinion about the future

– Compare to lawyers or accountants, who give opinions about the past and present

• Rating analyst is a financial journalist

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Page 20: Intro to Credit, Credit Analysis, and Credit Ratings-Ratings-2014.pdfNeri Bukspan Partner Ernst & Young Intro to Credit, Credit Analysis, and Credit Ratings November 6, 2014

Competing Philosophies (Oversimplified)

Expected Loss (Frequency & Severity)

Probability

of Default (Frequency only)

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Page 21: Intro to Credit, Credit Analysis, and Credit Ratings-Ratings-2014.pdfNeri Bukspan Partner Ernst & Young Intro to Credit, Credit Analysis, and Credit Ratings November 6, 2014

Relative Frequency and Expected Severity of

Defaults within Moody's Rating Grades

Exp

ecte

d S

eve

rity

of

De

fau

lt

Expected Frequency of Default

Aaa Aa1 Aa2 Aa3

A1 A2 A3

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Page 22: Intro to Credit, Credit Analysis, and Credit Ratings-Ratings-2014.pdfNeri Bukspan Partner Ernst & Young Intro to Credit, Credit Analysis, and Credit Ratings November 6, 2014

Comparing Ratings of Different Rating Agencies

• Do the corresponding symbols on the rating

scales of two rating agencies connote the

same degree of “credit quality”?

– If so, the scales are “congruent”

• To what degree do the ratings of two

different rating agencies tend to agree or

disagree?

– The degree of agreement is “correlation”

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Page 23: Intro to Credit, Credit Analysis, and Credit Ratings-Ratings-2014.pdfNeri Bukspan Partner Ernst & Young Intro to Credit, Credit Analysis, and Credit Ratings November 6, 2014

What a Rating Agency Wants in a Rating System

• Market impact

– Prices/yields/spreads

– Liquidity

• Get embedded in regulations and investment policies

• Easy to implement and administer

• Perception of congruence and correlation with Moody’s and S&P

23

Yields -- 1919 to 2014

Aaa

Baa

Page 24: Intro to Credit, Credit Analysis, and Credit Ratings-Ratings-2014.pdfNeri Bukspan Partner Ernst & Young Intro to Credit, Credit Analysis, and Credit Ratings November 6, 2014

Credit Ratings of “Blue Chip” Companies

Credit Ratings of Dow Jones Industrial Average Components (10/14/2014)

Name Moody’s S&P Name Moody’s S&P

3M Aa2 AA- Johnson & Johnson Aaa AAA

American Express A3 BBB+ JPMorgan Chase A3 A

AT&T A3 A- McDonald's A2 A

Boeing A2 A Merck A2 AA

Caterpillar A2 A Microsoft Aaa AAA

Chevron Aa1 AA NIKE A1 AA-

Cisco Systems A1 AA- Pfizer A1 AA

Coca-Cola Co. Aa3 AA Procter & Gamble Aa3 AA-

DuPont A2 A Travelers Cos. A2 A

Exxon Mobil Aaa AAA United Technologies A2 A

General Electric Aa3 AA+ UnitedHealth Group A3 A

Goldman Sachs Baa1 A- Verizon Baa1 BBB+

Home Depot A2 A Visa Inc A1 A+

Intel A1 A+ Wal-Mart Stores Aa2 AA

IBM Aa3 AA- Walt Disney A2 A

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Page 25: Intro to Credit, Credit Analysis, and Credit Ratings-Ratings-2014.pdfNeri Bukspan Partner Ernst & Young Intro to Credit, Credit Analysis, and Credit Ratings November 6, 2014

Average Difference in Ratings between

Moody's and other Rating Agencies in 1990

-1.5

-1.0

-0.5

0.0

0.5

1.0

1.5

2.0

MCM DBRS IBCA S&P Fitch D&P CBRS NIS JBRI

No

tch

es

Source: Richard Cantor and Frank Packer, The Credit Rating Industry, 19 FRBNY Q. Rev. 1 (Summer-Fall 1994)

25

Page 26: Intro to Credit, Credit Analysis, and Credit Ratings-Ratings-2014.pdfNeri Bukspan Partner Ernst & Young Intro to Credit, Credit Analysis, and Credit Ratings November 6, 2014

What About Within a Rating Agency?

• Must have a common definition of “credit

quality”

• Cross-sector comparability

• Rating analysts are specialists

• Need to overcome departmental “silos”

• Rating committees

– Narrow or broad composition

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Page 27: Intro to Credit, Credit Analysis, and Credit Ratings-Ratings-2014.pdfNeri Bukspan Partner Ernst & Young Intro to Credit, Credit Analysis, and Credit Ratings November 6, 2014

Illustration of Weak Cross-sector Comparability…

B

B

B

B

B

B

B

B

B

BB

B

B

BB

BB

BB

B

B

BB

B

B

BB

BB

B

BB

B

BB

B

BB

B

BB

B

BB

B

BB

B

BB

B

BB

B

A

A

A

A

A

A

A

A

A

AA

AA

AA

AA

AA

AA

AA

AA

AA

AAA

AAA

AAA

AAA

AAA

AAA

AAA

AAA

AAA

CDO

ABS

CMBS

RMBS

U.S. Munis

Sovereigns

Insurance

Banks

Corporate

Creditworthiness

27

Page 28: Intro to Credit, Credit Analysis, and Credit Ratings-Ratings-2014.pdfNeri Bukspan Partner Ernst & Young Intro to Credit, Credit Analysis, and Credit Ratings November 6, 2014

… and Stronger Cross-sector Comparability

B

B

B

B

B

B

B

B

B

BB

B

B

BB

B

B

BB

B

B

BB

B

B

BB

BB

B

BB

B

BB

B

BB

B

BB

B

BB

B

BB

B

BB

B

BB

B

A

A

A

A

A

A

A

A

A

AA

AA

AA

AA

AA

AA

AA

AA

AA

AAA

AAA

AAA

AAA

AAA

AAA

AAA

AAA

AAA

CDO

ABS

CMBS

RMBS

U.S. Munis

Sovereigns

Insurance

Banks

Corporate

Creditworthiness

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Page 29: Intro to Credit, Credit Analysis, and Credit Ratings-Ratings-2014.pdfNeri Bukspan Partner Ernst & Young Intro to Credit, Credit Analysis, and Credit Ratings November 6, 2014

Ge

og

rap

hy Ge

og

rap

hy

Four Dimensions of Comparability

There is a trade-off between recalibrating to maintain cross-sector

comparability and maintaining comparability over time

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Page 30: Intro to Credit, Credit Analysis, and Credit Ratings-Ratings-2014.pdfNeri Bukspan Partner Ernst & Young Intro to Credit, Credit Analysis, and Credit Ratings November 6, 2014

Delivering Comparability (S&P) • Retrospective

– Gini coefficients (rank ordering power)

– Comparing default rates across sectors, regions, and over time

• Prospective

– Common approaches to risk analysis (harmonization)

– Stress scenarios for criteria calibration

Criteria Calibration Stress Scenarios – Key Parameters

AAA AA A BBB BB B

ΔGDP -26½% -15% -6% -3% -1% -½%

Unemp. 25% 20% 15% 10% 8% 6%

Equities -85% -70% -60% -50% -25% -10%

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Page 31: Intro to Credit, Credit Analysis, and Credit Ratings-Ratings-2014.pdfNeri Bukspan Partner Ernst & Young Intro to Credit, Credit Analysis, and Credit Ratings November 6, 2014

Understanding S&P Rating Definitions (3 Jun 2009)

• Ratings are forward looking and reflect views on relative ranking of

overall creditworthiness

• S&P ratings are not just opinions of likelihood of default

– Likelihood of default

– Payment priority

– Recovery

– Credit stability

• New stress scenarios adopted to further our goal of comparability

across sectors, geographies and time

• 'AAA' (“extreme”) stress scenario is based on the Great Depression

– AAA face greater possibility of default under extreme scenario

– AAA are likely to face more transitions with increasing decline in economy

• Stress scenarios used as a calibration tool for criteria

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Page 32: Intro to Credit, Credit Analysis, and Credit Ratings-Ratings-2014.pdfNeri Bukspan Partner Ernst & Young Intro to Credit, Credit Analysis, and Credit Ratings November 6, 2014

Rating Process

• Information collection

• Analysis

• Committee action

• Publication of the rating

• Surveillance

• Withdrawal

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Page 33: Intro to Credit, Credit Analysis, and Credit Ratings-Ratings-2014.pdfNeri Bukspan Partner Ernst & Young Intro to Credit, Credit Analysis, and Credit Ratings November 6, 2014

Focus on Analysis

• Quantitative

aspects

• Qualitative

aspects

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Page 34: Intro to Credit, Credit Analysis, and Credit Ratings-Ratings-2014.pdfNeri Bukspan Partner Ernst & Young Intro to Credit, Credit Analysis, and Credit Ratings November 6, 2014

Information Quality

• A rating is only as good as the information upon

which it is based

• The rating process is not an audit

• Rating agencies do not independently verify

information from sources that they believe to be

reliable

• Information filed with the SEC generally should be

the most reliable and complete

• Differing views about the benefit of using other

information

34

Page 35: Intro to Credit, Credit Analysis, and Credit Ratings-Ratings-2014.pdfNeri Bukspan Partner Ernst & Young Intro to Credit, Credit Analysis, and Credit Ratings November 6, 2014

Credit Rating vs. Audit

• Credit rating is an opinion supported by a

rationale

• Credit ratings are on a scale with gradations

• Scale and methodology vary from one rating

agency to another

• Audit is a pass/fail test

• Audit standards are uniform within a country

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Page 36: Intro to Credit, Credit Analysis, and Credit Ratings-Ratings-2014.pdfNeri Bukspan Partner Ernst & Young Intro to Credit, Credit Analysis, and Credit Ratings November 6, 2014

So, Does It Actually Work?

• Well, it depends…

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Page 37: Intro to Credit, Credit Analysis, and Credit Ratings-Ratings-2014.pdfNeri Bukspan Partner Ernst & Young Intro to Credit, Credit Analysis, and Credit Ratings November 6, 2014

S&P Corporate Average Cumulative Default Rates (1981-2013)

0

10

20

30

40

50

60

12

34

56

78

910

1112

1314

15

Pe

rce

nt

Years

37

Page 38: Intro to Credit, Credit Analysis, and Credit Ratings-Ratings-2014.pdfNeri Bukspan Partner Ernst & Young Intro to Credit, Credit Analysis, and Credit Ratings November 6, 2014

Moody’s Corporate Avg. Cumulative Default Rates (1920-2013)

0

10

20

30

40

50

60

70

12

34

56

78

9 1011

1213

1415 16 17 18 19 20

Pe

rce

nt

Years

38

Page 39: Intro to Credit, Credit Analysis, and Credit Ratings-Ratings-2014.pdfNeri Bukspan Partner Ernst & Young Intro to Credit, Credit Analysis, and Credit Ratings November 6, 2014

… But Sometimes Ratings Disappoint …

Adverse Credit Migrations of 2005-2007 Vintages of

U.S. RMBS, CDOs of ABS, and SIV Lites

Original

S&P Rating

Status as of 31 Dec 2010 No. of

Ratings Default + Near Default

Default Near

Default

Any

Downgrade

AAA 60.1% 22.7% 37.4% 77.3% 4,043

AA 78.2% 45.8% 32.4% 87.6% 8,340

A 88.5% 59.7% 28.8% 93.4% 7,456

BBB 94.0% 69.4% 24.7% 95.2% 7,806

Inv. Grade 82.8% 52.8% 30.0% 89.8% 27,645 Note: 'AAA' ratings from the same transaction are treated as a single rating in this table's calculation. Multiple rating actions are

aggregated to calculate a security's cumulative rating performance. Near default means rated 'CCC+' or lower.

Source: Erturk, E., Global Structured Finance Securities End 2010 With Rising Credit Stability, Standard & Poor’s research

report (7 Feb 2011) (Table 6a).

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Page 40: Intro to Credit, Credit Analysis, and Credit Ratings-Ratings-2014.pdfNeri Bukspan Partner Ernst & Young Intro to Credit, Credit Analysis, and Credit Ratings November 6, 2014

Competition and Business Model

• Demand drivers – Price

– Service

– Reliability/accuracy

– Timeliness

– Regulatory passport

• Criteria – Rating Shopping

– Competitive laxity

• Who pays: issuers or investors – Public availability of ratings

40

Page 41: Intro to Credit, Credit Analysis, and Credit Ratings-Ratings-2014.pdfNeri Bukspan Partner Ernst & Young Intro to Credit, Credit Analysis, and Credit Ratings November 6, 2014

What is the Optimal Organization of the

Credit Rating Industry?

• Few companies, each with a high level of coverage

• Many companies, each with a low level of coverage

• Few companies, each with a high level of coverage,

and many companies, each with a low level of

coverage

• Many companies, each with a high level of

coverage

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Page 42: Intro to Credit, Credit Analysis, and Credit Ratings-Ratings-2014.pdfNeri Bukspan Partner Ernst & Young Intro to Credit, Credit Analysis, and Credit Ratings November 6, 2014

Conclusion

• Credit relationships are everywhere

• Credit analysis supports effective credit decisions

• Credit analysis has quantitative and qualitative aspects

• Emphasizing quantitative analysis to the exclusion of

qualitative factors is very dangerous

• Rating agencies define their own rating systems

• Rating agencies generate important efficiencies for the

fixed-income capital markets

• Investors want ratings that are useful by being timely,

reliable, and informative

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