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Quantitative Risk Management / Credit Risk — Single Name

Structural Models of Default: Merton's Model and Distance-to-Default

Merton's (1974) model is the foundational insight that makes credit risk a derivative pricing problem. If the value of a firm's assets follows a geometric Brownian motion and the firm has a single class of zero-coupon debt with face value BB due at time TT, then equity at maturity is exactly the payoff of a European call on asset value:
ST=(VT−B)+.S_T = (V_T - B)^+.
Default occurs when VT<BV_T < B — the firm cannot repay its bondholders. This means the probability of default, the value of risky debt, and the credit spread are all computable from Black-Scholes. The model explains the intuition that highly leveraged firms (small V0/BV_0/B) and highly volatile firms (large σV\sigma_V) have higher credit spreads — and provides quantitative formulas for both.
The practical limitation — firm asset value is unobservable — is resolved by the KMV/EDF methodology, which backs out V0V_0 and σV\sigma_V from equity prices using Itô's formula, then computes the distance-to-default (DD) and maps it to an empirically estimated default frequency (EDF).
Learning objectives. By the end of this note you should be able to:
  • derive the equity and debt valuation formulas in Merton's model from the call/put option analogy;
  • compute the physical and risk-neutral default probability in terms of Φ\Phi;
  • derive the credit spread and describe its dependence on leverage d=Bp0(0,T)/V0d = Bp_0(0,T)/V_0 and volatility σV\sigma_V;
  • explain the distance-to-default and describe how KMV/EDF uses it in practice;
  • state two key empirical limitations of the Merton model (short-term spreads, lognormal tails).

In this lesson

    1. The Merton model
    1. Pricing equity and risky debt
    1. Default probabilities and the credit spread
    1. Distance-to-default and the KMV/EDF methodology
    1. Extensions and limitations

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