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Numéraire Techniques

Numéraire techniques provide a unified framework for changing probability measures and simplifying derivative pricing by choosing an appropriate reference asset.


What is a numéraire?

A numéraire is a strictly positive tradable asset \(N_t\) used to measure value. Prices expressed in units of \(N_t\) are

\[ \tilde S_t = \frac{S_t}{N_t}. \]

Fundamental theorem of numéraire change

For any admissible numéraire \(N_t\), there exists a probability measure \(\mathbb{Q}^N\) such that

\[ \frac{S_t}{N_t} \text{ is a martingale under } \mathbb{Q}^N. \]

This generalizes the risk-neutral measure concept.


Examples of numeraires

Common choices include: - money-market account \(B_t\) → risk-neutral measure, - zero-coupon bond \(P(t,T)\) → T-forward measure, - swap annuity → swap measure.

Each choice simplifies pricing of specific products.


Pricing with numéraires

If payoff \(V_T\) is measurable at \(T\),

\[ V_t = N_t\,\mathbb{E}^{\mathbb{Q}^N}\left[ \frac{V_T}{N_T} \middle| \mathcal{F}_t \right]. \]

Choosing \(N_t\) wisely can remove discounting or complex drifts.


Key takeaways

  • Numéraire choice determines the pricing measure.
  • Forward measures are special cases of numéraire techniques.
  • Proper numéraire selection simplifies valuation and dynamics.

Further reading

  • Geman, El Karoui & Rochet, numéraire theory.
  • Brigo & Mercurio, change of measure methods.

Exercises

Exercise 1. Let \(N_t^{(1)} = B_t\) (money-market account) and \(N_t^{(2)} = P(t, T)\) (zero-coupon bond). Write down the Radon--Nikodym derivative \(d\mathbb{Q}^{(2)}/d\mathbb{Q}^{(1)}|_{\mathcal{F}_t}\) and verify that it defines a valid density process (i.e., it is a positive martingale under \(\mathbb{Q}^{(1)}\) with initial value 1).

Solution to Exercise 1

Radon--Nikodym derivative. Let \(N_t^{(1)} = B_t\) and \(N_t^{(2)} = P(t, T)\). The general numéraire change formula gives

\[ \frac{d\mathbb{Q}^{(2)}}{d\mathbb{Q}^{(1)}}\bigg|_{\mathcal{F}_t} = \frac{N_t^{(2)} / N_0^{(2)}}{N_t^{(1)} / N_0^{(1)}} = \frac{P(t, T) / P(0, T)}{B_t / 1} = \frac{P(t, T)}{P(0, T) \, B_t} \]

Verification of positivity. Since \(P(t, T) > 0\) (bond prices are strictly positive for \(t < T\)), \(P(0, T) > 0\), and \(B_t > 0\), the density is strictly positive.

Verification of initial value. At \(t = 0\):

\[ \frac{P(0, T)}{P(0, T) \cdot B_0} = \frac{P(0, T)}{P(0, T) \cdot 1} = 1 \]

Verification of the martingale property under \(\mathbb{Q}^{(1)}\). We need to show that \(L_t = P(t, T)/(P(0, T) B_t)\) is a \(\mathbb{Q}^{(1)}\)-martingale. Note that \(L_t = \frac{1}{P(0,T)} \cdot \frac{P(t,T)}{B_t}\).

Under \(\mathbb{Q}^{(1)} = \mathbb{Q}\) (the risk-neutral measure with numéraire \(B_t\)), the discounted price of any tradable asset is a martingale. Since \(P(t, T)\) is the price of a tradable asset (the zero-coupon bond), \(P(t, T)/B_t\) is a \(\mathbb{Q}\)-martingale. Multiplying by the positive constant \(1/P(0, T)\) preserves the martingale property.

Therefore \(L_t\) is a positive \(\mathbb{Q}^{(1)}\)-martingale with \(L_0 = 1\), confirming it is a valid Radon--Nikodym density process.


Exercise 2. A derivative pays \(V_T = S_T^2\) at time \(T\), where \(S_t\) follows geometric Brownian motion \(dS_t = rS_t\,dt + \sigma S_t\,dW_t^{\mathbb{Q}}\) under the risk-neutral measure with numéraire \(B_t\). Compute \(\mathbb{E}^{\mathbb{Q}}[e^{-rT}S_T^2]\) directly. Then choose \(N_t = S_t\) as the numéraire and compute the same price as \(S_0\,\mathbb{E}^{\mathbb{Q}^S}[S_T]\), verifying that the two approaches agree. What are the dynamics of \(S_t\) under the measure \(\mathbb{Q}^S\)?

Solution to Exercise 2

Direct computation under \(\mathbb{Q}\). Under \(\mathbb{Q}\), \(S_t = S_0 \exp((r - \sigma^2/2)t + \sigma W_t^{\mathbb{Q}})\), so

\[ S_T^2 = S_0^2 \exp\!\left((2r - \sigma^2)T + 2\sigma W_T^{\mathbb{Q}}\right) \]
\[ \mathbb{E}^{\mathbb{Q}}[e^{-rT}S_T^2] = S_0^2 e^{-rT} \exp\!\left((2r - \sigma^2)T\right) \mathbb{E}^{\mathbb{Q}}\!\left[\exp(2\sigma W_T^{\mathbb{Q}})\right] \]

Since \(W_T^{\mathbb{Q}} \sim N(0, T)\), \(\mathbb{E}[\exp(2\sigma W_T^{\mathbb{Q}})] = \exp(2\sigma^2 T)\). Therefore:

\[ \mathbb{E}^{\mathbb{Q}}[e^{-rT}S_T^2] = S_0^2 \exp\!\left(-rT + 2rT - \sigma^2 T + 2\sigma^2 T\right) = S_0^2 \exp\!\left((r + \sigma^2)T\right) \]

Computation using \(N_t = S_t\) as numéraire. The pricing formula gives

\[ V_0 = S_0 \, \mathbb{E}^{\mathbb{Q}^S}\!\left[\frac{S_T^2}{S_T}\right] = S_0 \, \mathbb{E}^{\mathbb{Q}^S}[S_T] \]

Dynamics under \(\mathbb{Q}^S\). The Radon--Nikodym derivative is

\[ \frac{d\mathbb{Q}^S}{d\mathbb{Q}}\bigg|_{\mathcal{F}_t} = \frac{S_t / S_0}{B_t} = \frac{S_t}{S_0 e^{rt}} \]

Since \(S_t/B_t\) has volatility \(\sigma\), Girsanov's theorem gives \(dW_t^S = dW_t^{\mathbb{Q}} - \sigma\,dt\), where \(W_t^S\) is a Brownian motion under \(\mathbb{Q}^S\).

Under \(\mathbb{Q}^S\), substituting \(dW_t^{\mathbb{Q}} = dW_t^S + \sigma\,dt\):

\[ dS_t = rS_t\,dt + \sigma S_t(dW_t^S + \sigma\,dt) = (r + \sigma^2)S_t\,dt + \sigma S_t\,dW_t^S \]

Therefore \(S_T = S_0 \exp((r + \sigma^2/2)T + \sigma W_T^S)\) and

\[ \mathbb{E}^{\mathbb{Q}^S}[S_T] = S_0 \exp\!\left((r + \sigma^2/2)T\right) \exp(\sigma^2 T/2) = S_0 \exp\!\left((r + \sigma^2)T\right) \]

Final price:

\[ V_0 = S_0 \cdot S_0 \exp\!\left((r + \sigma^2)T\right) = S_0^2 \exp\!\left((r + \sigma^2)T\right) \]

Both methods agree.


Exercise 3. Suppose there are two tradable assets \(N_t^{(1)}\) and \(N_t^{(2)}\) with associated measures \(\mathbb{Q}^{(1)}\) and \(\mathbb{Q}^{(2)}\). Show that the Radon--Nikodym derivative for the composite change \(\mathbb{Q}^{(1)} \to \mathbb{Q}^{(2)}\) is

\[ \frac{d\mathbb{Q}^{(2)}}{d\mathbb{Q}^{(1)}}\bigg|_{\mathcal{F}_t} = \frac{N_t^{(2)} / N_0^{(2)}}{N_t^{(1)} / N_0^{(1)}} \]

and verify that this is consistent with the individual changes from a common reference measure \(\mathbb{Q}\).

Solution to Exercise 3

From a common reference measure. Let \(\mathbb{Q}\) be any reference measure. The changes from \(\mathbb{Q}\) to \(\mathbb{Q}^{(k)}\) (for \(k = 1, 2\)) are given by

\[ \frac{d\mathbb{Q}^{(k)}}{d\mathbb{Q}}\bigg|_{\mathcal{F}_t} = \frac{N_t^{(k)} / N_0^{(k)}}{B_t} \]

where \(B_t\) is the numéraire for \(\mathbb{Q}\).

Composite change. The chain rule for Radon--Nikodym derivatives gives

\[ \frac{d\mathbb{Q}^{(2)}}{d\mathbb{Q}^{(1)}}\bigg|_{\mathcal{F}_t} = \frac{d\mathbb{Q}^{(2)}/d\mathbb{Q}|_{\mathcal{F}_t}}{d\mathbb{Q}^{(1)}/d\mathbb{Q}|_{\mathcal{F}_t}} \]

Substituting:

\[ \frac{d\mathbb{Q}^{(2)}}{d\mathbb{Q}^{(1)}}\bigg|_{\mathcal{F}_t} = \frac{N_t^{(2)} / N_0^{(2)} / B_t}{N_t^{(1)} / N_0^{(1)} / B_t} = \frac{N_t^{(2)} / N_0^{(2)}}{N_t^{(1)} / N_0^{(1)}} \]

The common reference numéraire \(B_t\) cancels, confirming the formula is independent of the choice of \(\mathbb{Q}\).

Verification. At \(t = 0\): \(\frac{N_0^{(2)}/N_0^{(2)}}{N_0^{(1)}/N_0^{(1)}} = \frac{1}{1} = 1\). The density starts at 1.

The ratio \(\frac{N_t^{(2)}/N_0^{(2)}}{N_t^{(1)}/N_0^{(1)}} = \frac{1}{N_0^{(2)}/N_0^{(1)}} \cdot \frac{N_t^{(2)}}{N_t^{(1)}}\) is the ratio of two positive tradable assets (up to a constant), so it is positive. Under \(\mathbb{Q}^{(1)}\), the process \(N_t^{(2)}/N_t^{(1)}\) is a martingale (since \(\mathbb{Q}^{(1)}\) makes any tradable asset divided by \(N_t^{(1)}\) a martingale). Multiplying by a positive constant preserves the martingale property. Hence the density process is a valid positive \(\mathbb{Q}^{(1)}\)-martingale with initial value 1.


Exercise 4. Explain why the money-market account \(B_t = \exp(\int_0^t r_s\,ds)\) is a valid numéraire even when the short rate \(r_t\) is stochastic, whereas a zero-coupon bond \(P(t, T)\) is only useful as a numéraire for pricing payoffs at or before time \(T\). What goes wrong if you try to use \(P(t, T)\) to price a payoff at time \(T' > T\)?

Solution to Exercise 4

Why \(B_t\) is always a valid numéraire:

  1. Strict positivity: \(B_t = \exp(\int_0^t r_s\,ds) > 0\) for all \(t \geq 0\), regardless of whether \(r_t\) is stochastic or even negative (the exponential of any real number is positive).
  2. Tradability: \(B_t\) represents the value of continuously rolling over at the instantaneous short rate, which is a self-financing strategy.
  3. No maturity constraint: \(B_t\) is defined for all \(t \geq 0\), so it can serve as a numéraire for payoffs at any time \(T\).

Why \(P(t, T)\) is limited to payoffs at or before \(T\):

  1. Numéraire at payment date: For the pricing formula \(V_0 = N_0\,\mathbb{E}^{\mathbb{Q}^N}[V_{T'}/N_{T'}]\), the numéraire \(N_{T'}\) must be well-defined and strictly positive at the payment date \(T'\).
  2. At maturity: \(P(T, T) = 1 > 0\), so \(P(t, T)\) works perfectly for payoffs at time \(T\).
  3. Before maturity: For \(T' < T\), \(P(T', T) > 0\) is still well-defined, so \(P(t, T)\) also works.

What goes wrong for \(T' > T\):

For a payoff at \(T' > T\), the pricing formula requires

\[ V_0 = P(0, T)\,\mathbb{E}^{\mathbb{Q}^T}\!\left[\frac{V_{T'}}{P(T', T)}\right] \]

But \(P(T', T)\) for \(T' > T\) is not the price of the zero-coupon bond (which has already matured at \(T\)). After maturity, \(P(T, T) = 1\) and the bond ceases to exist as a tradable asset for \(t > T\). One would need to define how the proceeds are reinvested after \(T\), which brings us back to the money-market account. Formally, the process \(P(t, T)\) for \(t > T\) would need to be extended as \(P(t, T) = B_t / B_T\) (reinvesting at the short rate), but this is just the money-market account renormalized, defeating the purpose of using the bond as numéraire.

In summary, the bond numéraire naturally "expires" at \(T\), while the money-market account is perpetual.


Exercise 5. A foreign-exchange option pays \(\max(X_T - K, 0)\) in domestic currency at time \(T\), where \(X_t\) is the spot exchange rate. The domestic and foreign money-market accounts are \(B_t^d\) and \(B_t^f\). Show that \(X_t B_t^f / B_t^d\) is a martingale under the domestic risk-neutral measure, and use this to identify the natural numéraire for pricing this option. What is the drift of \(X_t\) under the domestic measure?

Solution to Exercise 5

Martingale property of \(X_t B_t^f / B_t^d\). Under the domestic risk-neutral measure \(\mathbb{Q}^d\) (with numéraire \(B_t^d\)), every tradable asset denominated in domestic currency, discounted by \(B_t^d\), is a martingale.

Consider holding one unit of foreign currency. At time \(t\), its domestic value is \(X_t\) (the exchange rate). By investing this foreign currency in the foreign money-market account, the value at time \(t\) of an initial investment made at time \(0\) is \(X_t B_t^f\) in domestic currency. This is a tradable strategy (buy foreign currency, invest at foreign short rate). Therefore

\[ \frac{X_t B_t^f}{B_t^d} \]

must be a \(\mathbb{Q}^d\)-martingale.

Drift of \(X_t\) under \(\mathbb{Q}^d\). Let \(dX_t = \mu_X X_t\,dt + \sigma_X X_t\,dW_t^d\). The discounted foreign investment is

\[ \frac{X_t B_t^f}{B_t^d} = X_t \exp\!\left(\int_0^t (r_s^f - r_s^d)\,ds\right) \]

For this to be a martingale, applying Itô's formula (with constant rates for simplicity):

\[ d\!\left(\frac{X_t B_t^f}{B_t^d}\right) = \frac{B_t^f}{B_t^d}\left[(\mu_X + r^f - r^d)X_t\,dt + \sigma_X X_t\,dW_t^d\right] \]

Setting the drift to zero: \(\mu_X + r^f - r^d = 0\), so

\[ \mu_X = r^d - r^f \]

The exchange rate dynamics under \(\mathbb{Q}^d\) are

\[ dX_t = (r^d - r^f) X_t\,dt + \sigma_X X_t\,dW_t^d \]

This is the interest rate parity relation in continuous time: the drift of the exchange rate equals the interest rate differential.

Natural numéraire for the FX option. The payoff \(\max(X_T - K, 0)\) is in domestic currency at time \(T\). The natural numéraire is \(B_t^d\) (domestic money-market account) with the domestic risk-neutral measure \(\mathbb{Q}^d\):

\[ V_0 = e^{-r^d T}\,\mathbb{E}^{\mathbb{Q}^d}[\max(X_T - K, 0)] \]

Under \(\mathbb{Q}^d\), \(X_t\) is a GBM with drift \(r^d - r^f\), so \(X_T\) is lognormal and the Garman--Kohlhagen formula (the FX analogue of Black--Scholes) applies:

\[ V_0 = X_0 e^{-r^f T} N(d_1) - K e^{-r^d T} N(d_2) \]

where \(d_1 = \frac{\ln(X_0/K) + (r^d - r^f + \sigma_X^2/2)T}{\sigma_X\sqrt{T}}\) and \(d_2 = d_1 - \sigma_X\sqrt{T}\).


Exercise 6. Consider a stock \(S_t\) paying a continuous dividend yield \(q\). The reinvested stock price \(\hat{S}_t = S_t e^{qt}\) is a valid numéraire. Derive the Radon--Nikodym derivative from \(\mathbb{Q}\) (money-market numéraire) to \(\mathbb{Q}^{\hat{S}}\) (stock numéraire) and show that under \(\mathbb{Q}^{\hat{S}}\), the process \(B_t/\hat{S}_t\) is a martingale. Use this to price a European put option with payoff \(\max(K - S_T, 0)\).

Solution to Exercise 6

Setup. Under \(\mathbb{Q}\), the stock with continuous dividends satisfies \(dS_t = (r - q)S_t\,dt + \sigma S_t\,dW_t^{\mathbb{Q}}\). The reinvested stock price \(\hat{S}_t = S_t e^{qt}\) satisfies

\[ d\hat{S}_t = e^{qt}(dS_t + qS_t\,dt) = e^{qt}[(r - q)S_t + qS_t]\,dt + e^{qt}\sigma S_t\,dW_t^{\mathbb{Q}} \]
\[ = r\hat{S}_t\,dt + \sigma\hat{S}_t\,dW_t^{\mathbb{Q}} \]

So \(\hat{S}_t\) grows at rate \(r\) under \(\mathbb{Q}\), confirming it is a valid numéraire (\(\hat{S}_t/B_t\) is a \(\mathbb{Q}\)-martingale).

Radon--Nikodym derivative. From \(\mathbb{Q}\) to \(\mathbb{Q}^{\hat{S}}\):

\[ \frac{d\mathbb{Q}^{\hat{S}}}{d\mathbb{Q}}\bigg|_{\mathcal{F}_t} = \frac{\hat{S}_t / \hat{S}_0}{B_t} = \frac{S_t e^{qt}}{S_0 e^{rt}} \]

Since \(S_t = S_0\exp((r - q - \sigma^2/2)t + \sigma W_t^{\mathbb{Q}})\):

\[ \frac{d\mathbb{Q}^{\hat{S}}}{d\mathbb{Q}}\bigg|_{\mathcal{F}_t} = \exp\!\left(-\frac{\sigma^2}{2}t + \sigma W_t^{\mathbb{Q}}\right) \]

This is the standard exponential martingale.

Girsanov transformation. By Girsanov's theorem:

\[ dW_t^{\hat{S}} = dW_t^{\mathbb{Q}} - \sigma\,dt \]

is a Brownian motion under \(\mathbb{Q}^{\hat{S}}\).

\(B_t/\hat{S}_t\) is a \(\mathbb{Q}^{\hat{S}}\)-martingale. Under \(\mathbb{Q}^{\hat{S}}\), any tradable asset divided by \(\hat{S}_t\) is a martingale. Since \(B_t\) is tradable, \(B_t/\hat{S}_t\) is a \(\mathbb{Q}^{\hat{S}}\)-martingale.

We can verify directly: \(B_t/\hat{S}_t = e^{rt}/(S_t e^{qt}) = e^{(r-q)t}/S_t\). Under \(\mathbb{Q}^{\hat{S}}\), using \(dW_t^{\mathbb{Q}} = dW_t^{\hat{S}} + \sigma\,dt\):

\[ dS_t = (r - q)S_t\,dt + \sigma S_t(dW_t^{\hat{S}} + \sigma\,dt) = (r - q + \sigma^2)S_t\,dt + \sigma S_t\,dW_t^{\hat{S}} \]

By Itô's formula for \(1/S_t\):

\[ d(1/S_t) = -(r - q + \sigma^2)/S_t\,dt - \sigma/S_t\,dW_t^{\hat{S}} + \sigma^2/S_t\,dt \]
\[ = -(r - q)/S_t\,dt - \sigma/S_t\,dW_t^{\hat{S}} \]

Then \(d(e^{(r-q)t}/S_t) = e^{(r-q)t}[(r-q)/S_t\,dt + d(1/S_t)] = -\sigma e^{(r-q)t}/S_t\,dW_t^{\hat{S}}\), which is driftless, confirming the martingale property.

Pricing the European put. The put payoff is \(\max(K - S_T, 0) = K\max(1 - S_T/K, 0)\). Using numéraire \(\hat{S}_t\):

\[ P_0 = \hat{S}_0\,\mathbb{E}^{\mathbb{Q}^{\hat{S}}}\!\left[\frac{\max(K - S_T, 0)}{\hat{S}_T}\right] = S_0\,\mathbb{E}^{\mathbb{Q}^{\hat{S}}}\!\left[\frac{K\max(1 - S_T/K, 0)}{S_T e^{qT}}\right] \]
\[ = S_0 K e^{-qT}\,\mathbb{E}^{\mathbb{Q}^{\hat{S}}}\!\left[\frac{\max(1 - S_T/K, 0)}{S_T}\right] \]

Alternatively, using the standard approach, the put price under \(\mathbb{Q}\) is

\[ P_0 = e^{-rT}\mathbb{E}^{\mathbb{Q}}[\max(K - S_T, 0)] = Ke^{-rT}N(-d_2) - S_0 e^{-qT}N(-d_1) \]

where

\[ d_1 = \frac{\ln(S_0/K) + (r - q + \sigma^2/2)T}{\sigma\sqrt{T}}, \qquad d_2 = d_1 - \sigma\sqrt{T} \]

To use the stock numéraire more cleanly, write the put as \(\max(K - S_T, 0) = K\max(K^{-1}S_T^{-1}(K - S_T), 0) \cdot S_T/1\)... The most elegant numéraire approach for the put is to decompose:

\[ P_0 = K\,e^{-rT}\,\mathbb{Q}(S_T < K) - S_0\,e^{-qT}\,\mathbb{Q}^{\hat{S}}(S_T < K) \]

Under \(\mathbb{Q}\): \(\ln S_T \sim N(\ln S_0 + (r - q - \sigma^2/2)T,\;\sigma^2 T)\), so \(\mathbb{Q}(S_T < K) = N(-d_2)\).

Under \(\mathbb{Q}^{\hat{S}}\): \(\ln S_T \sim N(\ln S_0 + (r - q + \sigma^2/2)T,\;\sigma^2 T)\), so \(\mathbb{Q}^{\hat{S}}(S_T < K) = N(-d_1)\).

Therefore:

\[ P_0 = Ke^{-rT}N(-d_2) - S_0 e^{-qT}N(-d_1) \]

This is the Black--Scholes put formula with continuous dividends, derived via the numéraire change.