The DV01 hedge assumes that when the yield on the security you own moves by 1 bp, the yield on the hedging instrument moves by exactly 1 bp too. Key-rate analysis relaxes this by allowing different buckets to move independently. But both approaches still take the size of the move as given — they don't ask how much does hedge yield typically move when the target yield moves? In practice, a 20-year Treasury yield moves by a different number of basis points than a 30-year yield for any given shock. If that ratio is consistently 1.1 rather than 1.0, then a pure DV01 hedge systematically under-hedges.
Volatility-weighted hedging corrects for this by scaling the hedge ratio by the ratio of the two securities' yield volatilities. Regression-based hedging goes further: it estimates the relationship between yield changes using historical data, allowing for an imperfect correlation between them. The regression beta — the slope from regressing the hedged yield change on the hedge yield change — is the risk weight.
Learning objectives. By the end of this note you should be able to:
- define volatility-weighted hedging and derive its hedge ratio formula;
- state the regression model for hedging and explain the role of each parameter (, , );
- compute the OLS hedge ratio from a regression output and construct the hedging position;
- interpret and the standard error of the regression as measures of hedge effectiveness;
- explain the difference between a one-variable and a two-variable regression hedge, and when to use each;
- identify three practical pitfalls in implementing regression-based hedges.
In this lesson
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- Motivation: why the DV01 ratio is not enough
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- Volatility-weighted hedging
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- One-variable regression-based hedging
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- Measures of hedge effectiveness
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- Two-variable regression hedging
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- Three practical pitfalls
Before you start
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