Credit Risk Analysis - PowerPoint PPT Presentation

1 / 40
About This Presentation
Title:

Credit Risk Analysis

Description:

Of the more than 130 credit-rating agencies, the SEC has granted only five the ... A credit-rating company with three years of experience that meets certain ... – PowerPoint PPT presentation

Number of Views:64
Avg rating:3.0/5.0
Slides: 41
Provided by: PATRICIAM50
Learn more at: https://faculty.sfsu.edu
Category:
Tags: analysis | credit | risk

less

Transcript and Presenter's Notes

Title: Credit Risk Analysis


1
Credit Risk Analysis
2
What is a bond?
  • A long-term debt instrument in which a borrower
    agrees to make payments of principal and
    interest, on specific dates, to the holders of
    the bond.
  • Creditors receive interest and principal payments
    they have been promised

3
What determines interest rates of corporate bonds?
  • ki k IP MRP DRP LP
  • ki required return on a debt security
  • k real risk-free rate of interest
  • IP inflation premium
  • MRP maturity risk premium (also called interest
    rate risk premium)
  • DRP default risk premium
  • LP liquidity premium

4
Default risk
  • If an issuer defaults, investors receive less
    than the promised return. Therefore, the
    expected return on corporate bonds might be less
    than the promised return.
  • Default risk is influenced by the issuers
    financial strength and the terms of the bond
    contract.

5
Default Risk
  • A bond also has legal rights attached to it
  • if the borrower doesnt make the required
    payments, bondholders can force bankruptcy
    proceedings
  • in the event of bankruptcy, bond holders get paid
    before equity holders

6
Bankruptcy
  • Two main chapters of the Federal Bankruptcy Act
  • Chapter 11, Reorganization
  • Chapter 7, Liquidation
  • Chapter 11 bankruptcy is a financial
    reorganization in which the company continues to
    operate and works with creditors to formulate
    repayment plans.
  • Chapter 7 bankruptcy is a complete liquidation in
    which the firm ceases operations and sells all
    assets.
  • Typically, a company wants Chapter 11, while
    creditors may prefer Chapter 7.

7
Credit rating
  • Rely on qualitative and quantitative analyses
  • Standard Poors (AAA to D)
  • Intermediate /- scores
  • Moodys (Aaa to C)
  • Intermediate 1,2,3 scores
  • Fitch (AAA to D)

8
Rating Criteria
  • Bond Quality Ratings
  • Rating Grades Standard Poors Moodys
  • Highest grade AAA Aaa
  • High grade AA Aa
  • Upper medium A A
  • Lower medium BBB Baa
  • Marginally speculative BB Ba
  • Highly speculative B B, Caa
  • Default D Ca, C

9
Now more competition!
  • Of the more than 130 credit-rating agencies, the
    SEC has granted only five the designation NRSROs
    Moody's, SP, A.M. Best, Dominion Bond Rating
    Service, and Fitch Ratings.
  • President Bush Signs Rating Agency Reform Act on
    October 2006
  • A credit-rating company with three years of
    experience that meets certain standards would be
    allowed to register with the SEC as a nationally
    recognized statistical ratings organization
    (NRSRO)."

10
Rating Debt Obligations
Ratings and Yields
Source Standard Poors, 2002
11
Factors affecting default risk and bond ratings
  • Financial performance
  • Debt ratio
  • Current ratio
  • Other ratios
  • Be aware of accounting distortions
  • Bond contract provisions
  • Secured vs. Unsecured debt
  • Senior vs. subordinated debt
  • Guarantee
  • Debt maturity

12
Standard Poors rating method
  1. EBIT interest coverage
  2. EBITDA interest coverage
  3. Funds from operations/Total debt
  4. Free operating cash flow/Total debt
  5. Return on capital
  6. Operating income/Sales
  7. Long-term debt/Capital
  8. Total debt/Capital

13
(No Transcript)
14
(No Transcript)
15
(No Transcript)
16
(No Transcript)
17
Financial distress
  • Financial distress can also be directly predicted.

18
Prediction of bankruptcy
  • Bankruptcy prediction models are used in the same
    way as the bond ratings prediction models.
  • Dependent variable is a dummy variable indicating
    whether or not the firm went bankrupt.
  • Beaver (1966) investigated the use of financial
    ratios in the bankruptcy prediction.
  • The results clearly indicate that values of the
    financial ratios differ between failed and
    non-failed firms.

19
Prediction of financial distressUnivariate models
  • Beaver (1966) relied on
  • Cash flow to total debt
  • Net income to total assets
  • Total debt to total assets
  • Working capital to total assets
  • Current ratio

20
Example Cash flow / total debt

21
Example (cont.) Net income / total assets

22
Example (cont.) Total debt / total assets

23
Example (cont.) Working capital / total assets

24
Example (cont.) Current ratio

25
Predicting Financial Distress
Altman Z-Score
X1 Working capital/Total assets X2
Retained earnings/Total assets X3 Earnings
before interest and taxes/Total assets X4
Shareholders market value/Total liabilities X5
Sales/Total assets Zlt1.81 implies a high
probability of bankruptcy Zgt2.99 implies a low
probability of bankruptcy 1.81ltZlt2.99 implies an
ambiguous area
26
Prediction of financial distressMultivariate
models
  • Altman Z-score
  • (Current assets current liabilities)/total
    assets
  • Retained earnings/Total assets
  • EBIT/Total assets
  • Preferred and common stock market value/Book
    value of liabilities
  • Sales/Total assets
  • Nokia 9.88
  • Motorola 1.71 (below the 2.99 nonbankrupt
    benchmark)

27
Motorola Liabilities
28
Motorola, Note 3
29
Motorola, Note 3
30
Motorola, Note 8Off-balance-sheet financing
  • At December 31, 2001, future minimum lease
    obligations, net of minimum sublease rentals, for
    the next five years and beyond are as follows
    2002150 million 2003117 million
    200497 million 200576 million
    200663 million beyond90 million.
  • The present value of these payments, at 7, is
    484 million
  • Inclusion of these items increases debt by 5

31
Nokia Liabilities
32
Nokia debt note detail
33
Nokia debt note detailOperating lease payments
34
Elements of Free Operating Cash Flow
2001 Nokia (EURm) Motorola (m)
EBITDA 5,735 (4,039)
Non-cash items 248 (2,273)
Fund from operations 5,983 (6,312)
Capital expenditures (1,041) (1,321)
Working capital change 978 1,527
Free operating cash flow 5,920 (6,106)
35
Debt Analysis Ratios
36
(No Transcript)
37
Additional considerations
  • Mezzanine items
  • Could be debt or equity
  • Off-balance-sheet liabilities
  • Operating leases
  • Contingent liabilities
  • Environmental liabilities

38
More Recent Advances in Distress Prediction
  • RiskCalc
  • Market (Merton) Model

39
(No Transcript)
40
RiskCalc
The model's key advantage derives from Moody's
unique and proprietary middle market private firm
financial statement and default database (Credit
Research Database), which comprises 28,104
companies and 1,604 defaults. Our main insights
and conclusions are Comprehensive testing and
validation suggest that RiskCalc's predictive
power is superior to that of other publicly
available benchmark models and is robust across
non-financial industry sectors, and over time.
RiskCalc was developed to achieve maximum
predictive power with the smallest number of
inputs. It requires just 10 financial ratios
indicators computed from 17 basic financial
inputs. RiskCalc's predictive power derives, in
part, from its meticulous transformation of input
financial ratios. Source RiskCalc For
Private Companies Moody's Default Model , may
2000
41
(No Transcript)
42
(No Transcript)
43
Transforming raw ratios
44
(No Transcript)
45
From Raw Data to Ratios
46
Contribution of Factors
47
The parameters
48
For more details on RiskCalc
  • http//riskcalc.moodysrms.com/us/research/crm/5640
    2.pdf

49
Market Model (Not required)
  • Banks can use the theory of option pricing to
    assess the credit risk of a corporate borrower
  • The probability of default is positively related
    to
  • the volatility of the firms stock
  • the firms leverage
  • A model developed by KMV corporation is being
    widely used by banks for this purpose

50
(No Transcript)
Write a Comment
User Comments (0)
About PowerShow.com