Understanding the G2++ bond price formula analytically is one thing; using the model for daily trading decisions is another. This lesson covers the mechanics of turning a two-factor model into a pricing and hedging machine: (1) constructing a two-dimensional binomial tree whose transition probabilities embed the factor correlation, (2) computing the option-adjusted spread for callable bonds in a two-factor environment, (3) defining two-factor DV01s and the P&L attribution that makes a two-factor model operationally distinguishable from two separate one-factor models, and (4) understanding why the 2s-5s-10s butterfly swap position is the canonical two-factor trade — the one that is risk-free in a one-factor world but risky in a two-factor world.
In this lesson
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- Two-Dimensional Tree Construction
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- Factor Sensitivities: Two-Factor DV01
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- The Butterfly Trade: Why Two Factors Matter
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- Option-Adjusted Spread in a Two-Factor Model
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- P&L Attribution in a Two-Factor World
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- G2++ vs V2: Implementation Differences
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- Where This Goes Next
Before you start
- The G2++ Two-Additive-Factor Gaussian Model: Dynamics and Bond Prices
- Derivation — G2++ Bond Price and Forward-Rate Volatility-Correlation Structure
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