CIR 6 - Default Probability Flashcards

1
Q

Survival and density functions for a piecewise constant hazard rate function h(t)

A
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2
Q

what does the difference b/w risk-neutral and real-work default probabilities represent?

A

Represents the risk premium required by investors for default risk

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3
Q

Challenge of Bond pricing formula in calculting bond price while discounting with risk-free rate

A
  • does not take into risk-aversion
  • in order to have bond pricing incorporate risk premium investors demand for bearing default risk, one must calculate the risk-neutral probability of default PD by using the bond pricing equation to solve for the default probability that yields the quoted bond price from the market.
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4
Q

Formula of risk-neutral probability of default in terms of real-wold probability and firm’s assets sharp ratio

A
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5
Q

Formula of risk-neutral probability of default in terms of real-wold probability and risk premium on the market return π

A
  • because the formula using company sharp ratio not usuble since expected return on company asset is unkown
  • Correlation b/w asset and market return can be obtained from a linear regression
  • Vol of market return can be estimated from market data
  • However, market risk premium is difficult to estimte statistically since it is time-varying
    • See formula interms of market Sharp ratio (SR)
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6
Q

Formula of risk-neutral probability of default in terms of real-wold probability and market Sharp Ratio

A
  • Theta and SR are obtained by calibrating the model to credit spread data
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7
Q

Credit spread of a risky zero coupon bond in terms to calibrate market sharp ratio and time parameter in risk-neutral prob of default

A
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8
Q

Default intensity in terms of default probablity assuming constant default intensity (exponential time to default) under quick and dirty method

A
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9
Q

Cumulative default probablity (PDt)for an intermediate time t ( tii+1)

A
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10
Q

Slope of default term structure

A
  • Investment Grade Bonds: Tend to have upward sloping default term structures
    • very low risk at issue
    • cannot become any less risky over time
    • only has a change to get more risky
  • Speculative Grade Bonds: Tend to have downward sloping default term structures
    • Very risky at issue
    • if ther is no default, bond credit quality improved over time
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11
Q

Overview of Credit migration matrices

A
  • Model how corporations can experience changes in credit quality over time
  • give likelihood of transitioning from one rating class to another
  • fallow Markov provess:
    • Previous rating history won’t affect current prob of transitioning
  • transition probs are independent of time
  • time period of matrix is typically one year
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12
Q

Important facts of a credit transition matrix

A
  • entires are all non-negative
  • All rows equal 1
  • Last column of matrix contains default probabilities
  • Default state is absorbing (one cannot escape from default state)
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13
Q

What shortcoming of Transition matrices is overcome by Generator matrices?

A
  • it is very difficult to have transition matrices sampled from historical data to
    satisfy all these requirements
  • An alternative approach to match a transition matrix to sampled data but still fulfill the required properties is to use Generator matrices
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14
Q

Describe first method to remove negative off-diagonal entries from a generator matrix

A
  • Simply zero out any negative off-diagonal entries
  • and then allocate it fully into the diagonal element of the same row
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15
Q

Describe second method to remove negative off-diagonal entries from a generator matrix

A
  • Zero out any negative off-diagonal entries
  • Allocates the negative off-diagonal entries in proportion to the absolute values of the other entries in the same row with the correct sign
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16
Q

One way to measure the difference b/w exp (Q) and M matrices

A
  • Calculate L1 norm of the difference b/w the two matrices II M - exp (Q) II
17
Q

Term of Structure of Default Probabilities Based on Market Spreads

A

Method constructs an implied default term structure using observable market information such as spreads and defaultable bond prices.

18
Q

Shortcomings of piecewise constant function of Hazard Rate Model

A
  • Inconsistencies due to
    • data error
    • model error
19
Q

how does the parameter a1 impact the slope of the default intensity function

A
  • This parameter allows the default intensity function to be sloped.
    • a1 > 0 : a downward sloping intensity function
    • a1 < 0 : an upward sloping intensity function
  • a1 represents the current deviation of the default intensity from the long-term mean a0
20
Q

Septs of Parameters Calibration of Hazard Rate Function

A
  • Obtain the model price of bonds and credit spreads by plugging in the model formula for S(t) from Nelson-Siegel model into the dirty bond/CDS pricing
  • Perform a nonlinear optimization to find the values of a1, a2, a3 that minimizes the difference between the model and market bond prices and/or credit default spreads.
  • Once the calibration is complete, use the calibrated survival function S(t) to calculate the probability of default at any time t.