Risk Premiums in Interest Rates

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Risk Premiums in Interest Rates

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Credit risk has become a major focus of rating agencies, regulators, and investors ... Models and simulations of value changes given credit events ... – PowerPoint PPT presentation

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Title: Risk Premiums in Interest Rates


1
Risk Premiums in Interest Rates
  • Week 8 October 12, 2005

2
Types of Risk
  • Holding-period yield risk
  • Capital gains risk
  • Reinvestment risk
  • Default risk
  • Non-payment of principal
  • Delayed or reduced payments
  • Sometimes viewed as embedded option (put)
  • Call risks
  • Call risks can be viewed as embedded options
    (call)
  • Liquidity or marketability risk
  • Often measured as bid-ask spread for traded
    securities

3
Text Exhibit 8.6 Risky Rates
4
Holding Period Yield Risk
  • Bond price is function of expected cash flows and
    RADR, but usually bond traders define contractual
    cash flows and yields to maturity
  • Relationship between YTM and p is a curve defined
    by equation from last week

5
Bond Prices and Yields
6
Holding Period Risk (contd)
  • Zero coupon default risk free bonds held to
    maturity will earn yield to maturity
  • If maturity equals holding period, no risk
  • Future wealth from coupon bonds depends on income
    from reinvested cash at rates not known now
  • Bonds which must be sold at end of holding period
    (maturity does not equal holding period) have
    risk of capital gains or losses

7
Measuring Holding-Period Risk
  • Price sensitivity of bonds is measured in terms
    of a bond price elasticity
  • This elasticity is called duration denoted d1,
    which is widely used by bond traders and analysts
    and is often available on quote sheets

8
Example of Duration
  • Assume a 10-year 8 coupon bond is priced at 12
    yield to maturity and has value of 77.4 and
    duration of 6.8
  • If yields changed immediately from 12 to 10,
    that is a 2/112 or 1.8 change in gross yield
  • The bond price should change about
    1.8 6.8 12.1

9
Duration as Time Measure
  • Macauley noted that maturity was not relevant
    measure of timing of payments of bonds and
    defined his own measure, duration
  • The definition of duration is (p. 192)

10
Duration has two interpretations
  • Elasticity of bond prices with respect to changes
    in one plus the yield to maturity
  • Weighted average payment date of cash flows
    (coupon and interest) from bonds
  • Duration measure
  • Can be modified to be a yield elasticity by
    dividing by (1yield to maturity)
  • Can be redefined using term structure of yields
    (Fisher-Weil duration noted d2)

11
Alternative Duration Calculation
  • Duration is widely used by bond traders and fixed
    income portfolio managers
  • Duration values are available from information
    services like Bloomberg
  • Calculated is three ways
  • Macauleys formula (but combersome)
  • Calculate two prices and rates, divide changes
  • Closed-form solution, e.g. Dietrich formulation

12
Duration is an Approximation
Derivative is used in calculating duration
Price (Par1.0)
Actual price change
Change predicted by duration
0
Yield to Maturity
13
Duration as Risk Measure
  • Good
  • Balances reinvestment yield risk against capital
    gains risk
  • Widely used and clear mathematical expression
    assessing holding-period yield risk
  • Bad
  • Approximation and theoretical issues
  • Convexity adjustment only approximate improvement

14
(No Transcript)
15
Default or Credit Risk
Example of 8 3-year bond with risk-adjusted
discount rate (RADR) of 12
16
Effect of Credit Risk Change
  • RADR constant at 12
  • Note price and yield change
  • Could be a change in one industry or firm
  • Default risk could be diversified in this case

17
Pricing Default-Risky Bond
  • Discount expected cash flows (related to default
    probabilities) to obtain value
  • Default probabilities may be related to bond
    ratings
  • Change in default probability will change
    expected cash flows and yield to maturity
  • Risk-adjusted discount rate (RADR) may or may not
    change with change in default risk

18
Risk Premiums in RADRs
  • Diversifiable or avoidable risks
  • Hedge portfolios can reduce or eliminate
  • Unsystematic risks are not priced (do not
    increase discount rate)
  • Priced versus non-priced risk
  • Systematic risks are unavoidable
  • Risk aversion (declining marginal utility of
    wealth) is underlying assumption

19
Short and Long Risk Premia
20
Default Risk Premiums
  • Vary over the business cycle
  • Can be changes in default risk probabilities or
    in the market price of risk
  • Current default risk premiums are very high
    relative to historical experience
  • Development of bond markets internationally is
    believed to promise substantial growth and risk
    analysis of private borrowers will be very
    important

21
Liquidity Risk
  • Unusual securities in often cannot be sold
    readily
  • Reflected in dealers spreads
  • If no market makers, can only be estimated
  • Thin markets require price concessions for quick
    transactions despite intrinsic values
  • Examples
  • Structured notes and Orange County
  • Drexel Burnam and junk bonds in 1980s
  • The Russian debt market collapse in 1998

22
Developments in Credit-risk
  • Usual interpretation of credit risk is default on
    a loan or bond
  • New views of credit risk are focused on the
    change in the credit-worthiness of debt
    instruments as well as default
  • Risk changes will be reflected in the value of a
    portfolio over time as write-downs or downgrades
    short of default reduce value of claims

23
Default
  • Private debt (corporate and household) may not
    pay cash flows as promised
  • Late payments
  • Nonpayment of interest or principal
  • Other default or credit events
  • Violation of covenants and other creditor
    interventions in operations
  • Change in risk of default (e.g. highly leveraged
    transactions)

24
Credit Events
  • Probability of default (PD) can change affecting
    the value of default-risky securities
  • Upgrades and downgrades reflecting changes in PD
    are credit events
  • Recent progress has been made in quantifying
    these probabilities

25
Bond and Debt Ratings
  • Rating agencies
  • Standard and Poors (AAA to D)
  • Moodys (Aaa to C)
  • Fitch and Duff and Phelps
  • Migration of ratings, e.g. from BBB to BB
    (investment grade to below investment grade)
    represents credit risk
  • For example, change from BBB to BB has historical
    probability of 5.3 (SP, 1996)

26
Risk of Fixed Incomes
Probability
Maximum valueF
Future Value of Debt
27
Credit Losses
  • Three elements in credit losses
  • Estimated default probability (PD)
  • Loss given default (LGD)
  • Exposure at default (EAD)
  • Credit losses PDLGDEAD
  • Investors in debt securities will be concerned
    about all these elements in managing their risks

28
Credit Risk Analysis
  • Credit risk has become a major focus of rating
    agencies, regulators, and investors
  • Very important to capital market development
    (e.g. asset securitizations, loan syndications)
  • Enron, Global Crossing, and GE exemplify
    different stages of concern with these issues
  • Consulting industry in credit analysis
  • RiskMetrics (formerly J.P. Morgan)
  • KMV (academic based research)
  • Others (KPMG, PricewaterhouseCoopers, etc.)

29
Example of Steps to estimate PD
  • Default occurs when value of assets less than
    value of liabilities (insolvency)
  • Example of analysis used by KMV uses simplified
    estimates of variables
  • Must calculate market value of assets (market
    value of debt and equity) and variability of
    market value
  • Identify book value of liabilities

30
Motorola Debt and Equity
Total Market Value
31
Distance to Default Example
  • Motorola 2001-II (billions) Value of long-term
    debt 7.3 Book value of current
    liabilities 12.9 Total value of
    liabilities 20.2 Market value of assets
    56.6 Standard deviation of change in market
    value 16.4
  • Market value ? standard deviation of percent
    change 9.3 billion

32
Reduced Probability of Default?
  • Estimated default point in example is midway
    between book value of current liabilities and
    long-term debt
  • Theory is that long-term debt does not require
    immediate payment, short-term liabilities may
    allow some flexibility
  • KMV uses historical data to fine-tune this
    estimate

33
Estimated Distance to Default
Market value to default point 40.0
56.6
20.2
12.9
TMV
CLLTD
CL
Default point (estimated as midpoint) 16.6
34
Distance to Default 12-31-02
  • Total Value of Assets (from Capital Structure
    and Financial Statements) E LTD CL
    TA33.9 8.1 9.7 51.7
  • Book value of LTD and CL 8.4 and 9.7Midpoint
    estimate of default point 13.9Std Dev 16.4
    51.7 8.48

35
Probability of Default
  • KMV has used historical data to relate distance
    from default to probability of default
  • That measure is proprietary (not available)
  • As example, Motorola is rated A3 by Standard and
    Poors, historically associated with a default
    rate of about .82 over next five years

36
Credit Risk in Portfolios
  • Individual assets have probability of default and
    risk and discussed last week
  • Loans in portfolios will have an interdependent
    risk structure due to correlations in defaults
  • Credit risk within portfolio context is a major
    advance in credit risk management
  • Search for a summary measure of portfolio risk
    led to the concept of value at risk

37
Value at Risk (VAR)
  • Value at risk (VAR) looks at risk of portfolio
    accounting for covariance of assets
  • Risk is defined in terms of likelihood of losses

38
Portfolio Credit Risk
  • Credit risk different than usual portfolio risk
    analysis
  • Returns are not symmetric
  • Concentrations of exposure complicate losses
  • Major issue is correlation of defaults and losses
    given default
  • We will discuss approach followed by
    CreditMetrics
  • Other approaches exist (including KMV)

39
Credit Risk as Rating Changes
  • Increased credit risk Default
    CCC B BB
  • Same credit risk (BBB) BBB
  • A AA
  • AAA
  • Less credit risk

40
Rating Migrations (BBB rating)
Source Standard Poors
41
Two Bond Rating Migrations
42
Probability of Default Two Firms
Value of Firm B
Probability 1/2
Probability 1/10
Probability 1/100
Default Point B
Value of Firm A
Default Point A
43
Loss Given Default
44
Simplified Road Map
Compute exposure profile Of each asset
Compute the volatility Of value caused by Up
(down)grades and defaults
Compute correlations
Portfolio value-at-risk due to credit
Source Introduction to CreditMetrics (1997)
45
Required Resources
  • Default probabilities (or ratings)
  • Migration probabilities
  • Historical data requirements
  • Approaches to estimating correlations
  • Complete data on types of credits and estimations
    of losses given defaults
  • Exposures to classes of risks
  • Models and simulations of value changes given
    credit events

46
Credit Portfolio Risk
One Asset
Many Assets
Frequency
Frequency
0
0
Return
Return
47
Incremental Risk
  • Introduction to CreditMetrics provides good
    examples (in Section 5)
  • Importance portfolio risk is the marginal risk
  • Marginal risk considers portfoliorisk
    implications

10
High risk and large size
?
10mm
Credit Exposure
48
Next Week October 19, 2005
  • Take-home midterm examination due 90-minute
    examination is open book and open note
  • Examination must be completed without discussion
    with anyone and a declaration to that effect and
    time spent turned in with examination
  • Prepare Chapter 9
  • Arrange a meeting regarding project progress if
    you have not talked to me
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