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Exam FM · Swaps and Derivative Hedging · Tutorial 885 of 998

Key-Rate Exposure and Residual Risk in Swap Hedges

Use key-rate sensitivities to assess what a swap hedge offsets—and what remains when different parts of the yield curve move by different amounts.

Advanced 12 min read

What You'll Learn

  • Define signed dollar exposure at selected yield-curve key rates
  • Estimate value changes from small, nonparallel curve movements
  • Compare a portfolio’s aggregate exposure with a swap’s parallel exposure
  • Calculate and interpret residual key-rate exposures after hedging
  • Explain why matching overall duration does not necessarily match curve risk
  • Identify common errors in sensitivity units, signs, and hedge sizing

Why a Parallel Hedge Can Leave Curve Risk

A swap hedge can offset a portfolio’s sensitivity to a parallel interest-rate change while leaving substantial exposure to a twist or bend in the yield curve. The reason is that a parallel change moves all relevant rates by the same amount; a nonparallel change does not. Matching one overall duration, or one aggregate sensitivity, checks only the parallel direction.

Key-rate exposures make the remaining risk visible. They describe how the value of a position responds to small changes at specified points on the curve. Comparing the portfolio and swap exposure vectors shows whether the hedge offsets each point’s sensitivity or merely makes their sum equal and opposite.

Definition: A signed dollar key-rate exposure, denoted \(E_j\), is the approximate change in the value of a position, in dollars, for a one-basis-point increase in the yield at key rate \(j\), with the other key rates held fixed under the chosen curve-bump convention. A positive \(E_j\) means the position gains value when that key rate rises; a negative \(E_j\) means it loses value.

The key-rate points, curve interpolation method, valuation date, and bump size must be specified consistently for the portfolio and the swap. In this tutorial, exposures are signed dollar changes per basis point, and a curve movement is written as a vector of changes in basis points. Assume the instruments are valued on the same curve and that the shocks are small enough for a first-order estimate. In practice, the underlying exposure may be estimated by revaluing an instrument after a small, localized bump to the curve.

From Key-Rate Exposures to a Value Estimate

Suppose a position has exposures \(E_1,\ldots,E_m\), and the corresponding key rates move by \(\Delta b_1,\ldots,\Delta b_m\) basis points. For a sufficiently small change, its estimated value change is the sum of each exposure multiplied by its associated rate movement.

$$ \Delta V \approx \sum_{j=1}^{m} E_j\,\Delta b_j $$

The approximation is first-order: it leaves out curvature and interactions between rate changes. It is most useful for diagnosing the direction and approximate size of residual exposure, not for claiming an exact value change under a large curve move.

A parallel movement of \(c\) basis points has \(\Delta b_j=c\) at every key rate. Substitution into the estimate gives the aggregate parallel exposure.

$$ \Delta V_{\text{parallel}} \approx c\sum_{j=1}^{m}E_j $$

Thus, the sum of the signed key-rate exposures is the position’s first-order exposure to a one-basis-point parallel increase. If that sum is zero, the position is first-order neutral to a small parallel move under this model. That condition does not require each individual \(E_j\) to be zero.

Why Matching Overall Duration Is Not Enough

Duration summarizes value sensitivity to an assumed rate movement, commonly a parallel movement. Key-rate exposures refine that summary by distinguishing the parts of the curve at which the sensitivity arises. Two positions can have the same aggregate parallel exposure even though their key-rate exposure vectors differ. They will then respond differently when the curve moves nonparallel.

The relationship can be seen by treating the value \(V\) as a function of the key-rate nodes. For small changes, the first-order change in value is the sum of the partial change in value at each node multiplied by that node’s change. Expressing each partial change per basis point gives the key-rate exposure formula.

1
Represent the curve by key-rate nodes.
Let \(b_j\) be the yield, in basis-point units for changes, at node \(j\). The curve-bump convention specifies how a change at one node affects rates between nodes.
2
Apply the first-order change formula.
For a small movement, \(\Delta V \approx \sum_j (\partial V/\partial b_j)\Delta b_j\). This is the multivariable first-order approximation to the revalued position.
3
Identify each signed exposure.
By definition, \(E_j=\partial V/\partial b_j\) in dollars per basis point, or its consistent finite-bump estimate. Substitution gives \(\Delta V\approx\sum_j E_j\Delta b_j\).
4
Specialize to a parallel move.
If every \(\Delta b_j=c\), then \(\Delta V\approx c\sum_j E_j\). Matching this sum matches the first-order parallel exposure, not necessarily the individual exposures.

For a conventional fixed-income position with value \(V\), modified duration \(D_{\mathrm{mod}}\) summarizes the first-order effect of a parallel change in decimal yield: \(\Delta V\approx -V D_{\mathrm{mod}}\Delta y\). Since one basis point is \(0.0001\) in decimal yield, this corresponds to an aggregate signed exposure of approximately \(-V D_{\mathrm{mod}}(0.0001)\) dollars per basis point. This scalar summary does not specify how that exposure is distributed across key rates. A swap hedge can therefore match the scalar duration exposure without matching the portfolio’s key-rate vector.

This description assumes the selected curve and bump convention are used consistently in valuing both instruments. Real swap portfolios may involve distinct discounting and floating-rate curves, basis risk, or other features. Those require additional modeling; they are not resolved by a key-rate comparison alone.

Worked Examples: Matching and Diagnosing Exposures

Worked Example: Parallel Matching Leaves a Twist Exposure

A fixed-income portfolio has signed exposures of \((-80,-120,-100)\) dollars per basis point at the 2-year, 5-year, and 10-year key rates, respectively. A pay-fixed swap has exposures of \((8,24,18)\) dollars per basis point for each \(\$1\) million of notional. Find the notional that offsets the portfolio’s parallel exposure and the resulting residual vector.

Method. First sum each vector to obtain its parallel exposure. Then size the swap to offset the portfolio’s sum and add the scaled swap vector to the portfolio vector. This avoids treating parallel matching as if it were a match at every key rate.

The portfolio’s aggregate exposure is

$$ -80-120-100=-300\text{ dollars per basis point}. $$

The swap’s aggregate exposure per \(\$1\) million is

$$ 8+24+18=50\text{ dollars per basis point per }\$1\text{ million}. $$

Let \(N\) be the swap notional in millions of dollars. Parallel neutrality requires \(-300+50N=0\), so \(N=300/50=6\). The hedge is a \(\$6\) million pay-fixed position. Its exposure vector is \(6(8,24,18)=(48,144,108)\). Therefore, the combined residual vector is

$$ (-80,-120,-100)+(48,144,108)=(-32,24,8). $$

The components sum to \(-32+24+8=0\), confirming first-order neutrality to a parallel move. They are not individually zero, so a nonparallel movement can still change the position’s value. For example, key-rate movements of \((1,0,0)\) basis points give an estimated change of \(-32\) dollars. The common mistake this method avoids is concluding that a zero aggregate exposure means no curve risk remains.

Worked Example: Correcting a Notional Error in Parallel Matching

A portfolio has exposures \((-60,-130,-90)\) dollars per basis point. A pay-fixed swap has exposures \((10,30,20)\) dollars per basis point per \(\$1\) million of notional. Find the notional for parallel neutrality and calculate the residual exposure vector.

The portfolio’s aggregate exposure is \(-60-130-90=-280\) dollars per basis point. The swap’s aggregate exposure per \(\$1\) million is \(10+30+20=60\) dollars per basis point. If \(N\) is in millions, the parallel-neutrality equation is \(-280+60N=0\), giving

$$ N=\frac{280}{60}=\frac{14}{3}\text{ million dollars}. $$

The scaled swap vector is

$$ \frac{14}{3}(10,30,20)=\left(\frac{140}{3},140,\frac{280}{3}\right). $$

Adding the portfolio gives

$$ (-60,-130,-90)+\left(\frac{140}{3},140,\frac{280}{3}\right) =\left(-\frac{40}{3},10,\frac{10}{3}\right). $$

The residual components sum to \((-40+30+10)/3=0\), as required. A tempting but incorrect answer is \(\$5\) million: that would give residual exposures \((-10,20,10)\), whose sum is \(20\), not zero. The correction is to divide the portfolio’s aggregate exposure, \(280\), by the swap’s aggregate exposure per million, \(60\)—not to choose a notional that happens to produce a plausible-looking residual vector.

Worked Example: Estimating a Nonparallel Value Change

A hedged position has residual exposures \((15,-30,15)\) dollars per basis point at three key rates. Estimate its first-order value change if those rates move by \((+2,+5,-1)\) basis points. Also determine whether it is first-order neutral to a parallel increase.

Apply the key-rate change formula, pairing each exposure with the movement at the same key rate:

$$ \Delta V\approx 15(2)+(-30)(5)+15(-1) =30-150-15=-135\text{ dollars}. $$

For a parallel movement, the aggregate exposure is \(15-30+15=0\), so the estimated value change is zero for any small parallel shift. For the stated nonparallel movement, the estimate is a loss of \(\$135\). A common trap is dropping the final negative contribution: \(15(-1)=-15\), not \(+15\). Another is stopping at the parallel sum and overlooking that the three specified movements are not equal.

Interpreting Residual Risk in Practice

A residual vector should be read together with the movement scenario. A large positive component indicates a potential gain for an increase at that key rate, while a large negative component indicates a potential loss for that increase. The net effect depends on the size and direction of movement at each rate, as well as the limitations of the first-order approximation.

When comparing candidate hedges, a useful sequence is:

  • Check that the portfolio and swap exposures use the same key-rate points, valuation basis, and units.
  • Compare the sums to assess first-order parallel exposure.
  • Subtract or add the swap vector using the actual hedge direction and notional to find the residual vector.
  • Apply the specified nonparallel movements component by component, preserving all signs.
  • Interpret the result as a local estimate, not a complete valuation under a large shock.

The signed dollar convention used here is especially convenient for combining assets, liabilities, and derivatives: add exposures for positions held and subtract exposures for positions owed or sold. A position’s aggregate exposure can be zero even when its components are material. Accordingly, an effective curve hedge may require attention to the residual vector, not only to a single duration or parallel sensitivity.

Key takeaway: Parallel neutrality requires the sum of residual key-rate exposures to be zero. It does not require each residual exposure to be zero. Under nonparallel movements, estimate the value change by multiplying each residual exposure by its own key-rate movement and summing the results.

Check Your Understanding

For each problem, use signed dollar exposures per basis point and the first-order approximation.

  1. A position has key-rate exposures \((-25,40,-15)\). Find its estimated change for a parallel increase of 3 basis points, then for movements of \((+1,+2,-2)\) basis points. (Answer: \(\$0\) for the parallel move; gain of \(\$85\) for the specified nonparallel move.)
  2. A portfolio has exposures \((-45,-95,-60)\). A pay-fixed swap has exposures \((5,20,15)\) per \(\$1\) million. Find the parallel-neutral notional and the residual vector. (Answer: \(\$5\) million; residual \((-20,5,15)\) dollars per basis point.)
  3. A residual position has exposures \((22,-9,-13)\). Estimate its value change for key-rate movements of \((-2,+4,+1)\) basis points, and state its parallel exposure. (Answer: estimated loss of \(\$93\); parallel exposure \(0\) dollars per basis point.)
  4. Assets have exposures \((30,50,20)\), and liabilities have exposures \((10,35,25)\), all in dollars per basis point. A receive-fixed swap has exposures \((-4,-8,-3)\) per \(\$1\) million. Find the notional that makes the net position parallel-neutral, then find the residual vector and estimated change for movements of \((+1,-2,+3)\) basis points. (Answer: \(\$2\) million; residual \((12,-1,-11)\) dollars per basis point; estimated loss of \(\$19\).)
  5. A portfolio has exposures \((-70,-110,-80)\). Swap A has exposures \((10,25,15)\) per \(\$1\) million, and swap B has exposures \((5,10,20)\) per \(\$1\) million. Choose signed notionals \(x\) and \(y\), in millions, to offset the first and third key rates exactly; calculate the remaining second-key-rate exposure and the aggregate residual exposure. (Answer: \(x=8\), \(y=-2\); second-key-rate residual \(70\) dollars per basis point; aggregate residual \(70\) dollars per basis point.)
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