The Duration Model

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The Duration Model

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Convexity. The duration model (?PV/PV -MD ?i) is only an ... C is the 'convexity' of the security. Calculated in a manner similar to MD (more complex formula) ... – PowerPoint PPT presentation

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Title: The Duration Model


1
The Duration Model
  • Present Value
  • PV ?t1 to T CFt / (1i)t
  • 1st Derivative w.r.t. discount rate (i)
  • implies ?PV -D PV ?i/(1i)
  • this is the duration model
  • it is an approximation because 1st derivatives
    work only for very small changes
  • where D ?t1 to T (t CFt) / (1i)t / PV
  • D is the Macauley duration of the security
  • MD D / (1i)
  • MD is the modified duration of the security
  • implies ?PV/PV -MD ?i
  • another version of the duration model

2
Meaning(s) of Duration
  • Weighted-Average Maturity
  • Weights are the relative contribution to the
    total value of the security or PVcashflow/PVsecuri
    ty
  • Better way of measuring (and matching) maturity
    than date of receipt of last cash flow
  • Measure of Interest Rate Risk
  • MD is an elasticity w.r.t. changes in the
    discount rate.
  • ?PV/PV -MD ?i

3
Calculating Duration
4
Duration Model vs. Reality
  • Duration is a linear approximation of a
    non-linear world.
  • The approximation gets worse as the interest rate
    change grows larger
  • The difference between the actual change in value
    and the duration prediction is due to convexity

5
Duration of a Portfolio
  • The duration of a portfolio is the
    weighted-average duration of the individual
    securities.
  • MDportfolio ?j1 to J wj MDj
  • The weights equal the contribution of the
    security to the value of the portfolio
  • wj PVj/PVportfolio
  • As required, the weights sum to one
  • ?j1 to J wj 1
  • Example Portfolio with 3 securities
  • 10K of Bond A (MD 6.3 years)
  • 55K of Bond B (MD 2.7 years)
  • 35K of Bond C (MD 0.4 years)
  • weight of Bond A 10/(105535) 0.10
  • MDportfolio (0.10 6.3) (0.55 2.7) (0.35
    0.4) 2.26 years

6
Convexity
  • The duration model (?PV/PV -MD ?i) is only an
    approximation.
  • As ?i gets larger, the error grows.
  • Can we improve on this? Yes.
  • ?PV/PV -MD ?i ½C ?i²
  • C is the convexity of the security
  • Calculated in a manner similar to MD (more
    complex formula)
  • based on 2nd derivative w.r.t. discount rate

7
Convexity
  • Positive Convexity
  • for the typical bond, C gt 0
  • gains are bigger for decrease in rates than loss
    for same increase in rates
  • when Cgt0 the duration model is conservative
  • actual gains and losses are less than predicted
    by duration model
  • Negative Convexity
  • for some securities, C lt 0
  • we call this negative convexity
  • BAD gains are smaller for decrease in rates than
    loss for same increase in rates
  • when Clt0 the duration model underestimates losses
    and overestimates gains
  • only happens when CFs change with changes in
    interest rates
  • mortgage portfolios act this way

8
Convexity
  • Why isnt convexity used in practice?
  • Impractical
  • Cannot calculate the convexity of a portfolio
    from the convexity of its individual securities.

9
Duration of Equity
  • According to the balance sheet identity
  • Assets Liabilities Equity
  • Equity Assets Liabilities.
  • Using this identity to reflect PV rather than
    Book Value
  • PVequity PVassets PVliabilities
  • a.k.a. the Economic Value of Equity or EVE
  • Not the same as market value
  • Equity is a portfolio containing positive assets
    and negative liabilities.
  • MDequity (PVassets/PVequity)MDassets
    (PVliabilities/PVequity)MDliabilities

10
Duration of Equity Examples
  • Example 1
  • PV Assets of 500 million (MD 3.5 years)
  • PV Liabilities of 450 million (MD 2.5 years)
  • EVE 50 million
  • MDequity (500/50)3.5 (450/50)2.5 12.50
    years.
  • What happened?

11
Duration of Equity Examples
  • Example 2
  • PV Assets of 500 million (MD 2.5 years)
  • PV Liabilities of 450 million (MD 3.5 years)
  • EVE 50 million
  • MDequity (500/50)2.5 (450/50)3.5 -6.50
    years.
  • Negative Duration?

12
Advantages of Duration Model
  • Single Number easy to interpret
  • bigger riskier
  • positive implies hurt by rising interest rates
  • Easy to Explain
  • Senior management
  • Easy to Calculate
  • Spreadsheet technology
  • Unambiguous
  • Set targets or limits
  • Rough but consistent
  • For small interest rate changes

13
Disadvantages of Duration Model
  • Assumes Parallel Interest Rate Shocks
  • All rates move by same amount
  • Instantaneously and permanently
  • What is short and long rates move differently?
  • Linear Model
  • Non-linear world cant translate convexity to
    portfolio level
  • Embedded Options
  • Model only considers promised cash flows (can be
    adjusted to expected cash flows)
  • Does not capture changing cash flows
  • Off-Balance Sheet Activities
  • Fee income sources may be sensitive to changing
    market rates

14
Improvements on Duration Model
  • Quasi-Assets
  • solution for ignoring OBS activities
  • estimate future cash flows and appropriate
    discount rate and calculate value/duration
  • treat fee-based activity as an asset with
    predictable, periodic cash flows.

15
Improvements on Duration Model
  • Effective duration
  • used when cash flows are known to change when
    interest rates change (e.g. embedded options are
    present)
  • manipulate ?PV/PV -MD ?i
  • to get EMD -(?PV/PV) / ?i
  • EMD is the effective (implied) modified duration
  • Employ complex ( accurate) valuation model
  • measure value under current interest rates
  • measure value for fixed increase in interest
    rates use that ?PV to measure EMD()
  • measure value for (same) fixed decrease in
    interest rates use that ?PV to get EMD(-)
  • EMD average of EMD() and EMD(-)
  • not precise but better than strict duration model
    which assumes cash flows dont change

16
Improvements on Duration Model
  • Effective duration example
  • portfolio of asset-backed securities
  • value under current conditions is 5.00 million
  • value if interest rates increase by 0.25 is
    estimated at 4.40 million
  • EMD() -(-0.60/5.00)/0.0025 48.0
  • value if interest rates decrease by 0.25 is
    estimated at 5.35 million
  • EMD(-) -(0.35/5.00)/-0.0025 28.0
  • EMD (48.0 28.0) / 2 38.0

17
Improvements on Duration Model
  • Key Rate Duration
  • solution to problem of assuming parallel interest
    rate shocks (all rates change permanently by same
    amount at same time)
  • measure the sensitivity of each asset to
  • short-term riskless yield
  • a set of differences between the short-term
    riskless yield and riskless yields associated
    with different maturities
  • An Example measure independent sensitivities to
  • 3-month CMT
  • 1-year CMT - 3-month CMT
  • 5-year CMT - 1-year CMT
  • 20-year CMT - 5-year CMT
  • these should be independent of one-another
  • CMT constant maturity Treasury

18
Scenario Analysis
  • Requires accurate valuation model
  • (1) Identify key inputs to valuation model
    economic factors
  • various interest rates
  • volatility of rates
  • default expectations/credit spreads
  • (2) Select a set of predetermined alternative
    future conditions
  • example of one scenario rates rise, interest
    volatility increases, rising default/credit
    spreads
  • pick other representative sets of input values
  • focus on interest rates
  • parallel shocks
  • tilts
  • twists

19
Scenario Analysis
  • (3) Measure the value of the portfolio or
    institution for each scenario using the
    valuation model
  • (4) Look for unacceptable losses
  • identify cause(s)
  • fix problems
  • Advantage compared to duration
  • allows more complex valuation
  • considers additional sources/causes of risk
  • Disadvantages compared to duration
  • less clear
  • cant tell if an important scenario is missing

20
Simulation Models/Analysis
  • Requires accurate valuation model
  • (1) Identify key inputs to valuation model
  • various interest rates
  • volatility of rates
  • default expectations/credit spreads
  • (2) Identify the probability distribution of each
    key input, including parameters
  • example joint normal distribution assumption
    requires estimates of mean, standard deviation,
    and correlations for each variable
  • other distributions can be more complex with more
    parameters
  • (3) Randomly select a set of values for the key
    inputs to the valuation model
  • based on distributional assumptions in (2)

21
Simulation Models/Analysis
  • (4) Using the key input values
  • for each security (face value, coupon rate,
    maturity, contractual features known), determine
    a value
  • (5) Repeat (3) and (4) a lot!
  • 1,000 times
  • (6) Study the results of this simulation
  • dont worry about gains or small losses
  • big losses? ask why? how many? too many?
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