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Changing from the Bank Account Measure to a Forward Measure

Article Quant Q&A · Author: Ant

Summary

The document explains why the ratio of two zero-coupon bond prices, with a common valuation horizon, is a martingale under the forward measure associated with one bond. It focuses on the conditional expectation and the correct use of Bayes’ rule when changing from the bank account risk-neutral measure to a bond forward measure.

For a payoff measurable at the future time, the Radon–Nikodym derivative must be evaluated at that time, and the density must correspond to the direction of the measure change. Applying these points to the bond-price ratio reduces the numerator and denominator to expectations of bank-account-discounted bond prices. The martingale property of those discounted prices then yields the ratio at the initial time. The exposition gives the algebra and identifies the errors in an attempted derivation; it assumes the standard pricing-measure setup and does not discuss model-specific conditions.

Key ideas

  • A ratio of bond prices can be treated as a martingale under the forward measure associated with the denominator bond.
  • Bayes’ rule for conditional expectations uses the measure-change density evaluated at the horizon of the random variable.
  • The density must point from the original measure to the target measure used in the expectation.
  • Under the bank account measure, discounted zero-coupon bond prices are martingales.
  • Applying this property to both bonds gives the earlier bond-price ratio.

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Full text
# Change of numeraire between T-forward and Bank Account


# Change of numeraire between T-forward and Bank Account












I follow a course, and get to the point that one bond price discounted by another one is a martingale: $$ \frac{P(t,T_0)}{P(t,T_1)} - \text{ is a } \mathbb{Q}^{T_1} \text{ martingale } $$ I can not comprehend the proof below, mainly what is measurable inside of expectations: $$ \mathbb{E}^{T_1}_t \big[ \frac{P(T,T_0)}{P(T,T_1)} \big] = \frac{1}{P(t,T_1)} \mathbb{E}_t \big[ e^{-\int^T_t r(s)ds } P(T,T_1) \frac{P(T,T_0)}{P(T,T_1)} \big] = \frac{P(t,T_0)}{P(t,T_1)} $$ for $t<T< \min (T_0,T_1) $.

Here is my attempt: I look at Brigo and Mercurio book and say that my RN derivative( from $T_1$ forward measure $ \mathbb{Q}^{T_1}$ to usual RNM $\mathbb{Q}= \mathbb{Q}^B$ or without stating $\mathbb{Q}$ as I do below) is: \begin{equation} \frac{ d \mathbb{Q} } { d \mathbb{Q}^{T_1} } \vert \mathcal{F}_t = \frac{P(0,T_1)}{P(t,T_1)} \frac{B(t)}{B(0)} \end{equation}

applying Bayes Rule: $$ \mathbb{E}^{T_1}_t \big[ \frac{P(T,T_0)}{P(T,T_1)} \big] = \frac{ \mathbb{E}_t \big[ \frac{ d \mathbb{Q} } { d \mathbb{Q}^{T_1} } \frac{P(T,T_0)}{P(T,T_1)} \big]}{ \mathbb{E}_t \big[ \frac{ d \mathbb{Q} } { d \mathbb{Q}^{T_1} } \big]} = \frac{ \mathbb{E}_t \big[ \frac{ d \mathbb{Q} } { d \mathbb{Q}^{T_1} } \frac{P(T,T_0)}{P(T,T_1)} \big]}{ \mathbb{E}_t \big[ \frac{ d \mathbb{Q} } { d \mathbb{Q}^{T_1} } \big]} $$ and substituting RN derivative inside expectation and to the denominator we obtain: $$ \frac{ \mathbb{E}_t \big[ \frac{ d \mathbb{Q} } { d \mathbb{Q}^{T_1} } \frac{P(T,T_0)}{P(T,T_1)} \big]}{ \mathbb{E}_t \big[ \frac{ d \mathbb{Q} } { d \mathbb{Q}^{T_1} } \big]} = \frac{ \mathbb{E}_t \big[ \frac{P(0,T_1)}{P(t,T_1)} \frac{B(t)}{B(0)} \frac{P(T,T_0)}{P(T,T_1)} \big]}{ \frac{P(0,T_1)}{P(t,T_1)} \frac{B(t)}{B(0)} } $$ Now, to me it seems that all inside the expectation is measurable besides $\frac{P(T,T_0)}{P(T,T_1)}$ but I am not sure if that reasoning is correct nor how to proof that $\frac{P(T,T_0)}{P(T,T_1)}$ under $\mathbb{Q}$ is a measurable.

After seeing the answer below, I finish the application of the change of measure:

$$ \frac{ \mathbb{E}_t \big[ \frac{ d \mathbb{Q}^{T_1} } { d \mathbb{Q} }\vert \mathcal{F}_T \frac{P(T,T_0)}{P(T,T_1)} \big]}{ \mathbb{E}_t \big[ \frac{ d \mathbb{Q}^{T_1} } { d \mathbb{Q} } \vert \mathcal{F}_T \big]} = \frac{ \mathbb{E}_t \big[ \left( \frac{P(T,T_1)}{P(0,T_1)} \frac{B(0)}{B(T)} \right)\frac{P(T,T_0)}{P(T,T_1)} \big]}{ \mathbb{E}_t \big[ \frac{P(T,T_1)}{P(0,T_1)} \frac{B(0)}{B(T)} \big] } = \frac{B(0)}{P(0,T_1)} \frac{ \mathbb{E}_t \big[ \left( \frac{P(T,T_1)}{1} \frac{1}{B(T)} \right)\frac{P(T,T_0)}{P(T,T_1)} \big]}{ \mathbb{E}_t \big[ \frac{P(T,T_1)}{P(0,T_1)} \frac{B(0)}{B(T)} \big] } $$ knowing that discounted with the bank account Zero Coupon Bond price is a martingale: $$ \frac{P(t,T_x)}{B(t)} = E^{\mathbb{Q}}_t\left[ \frac{P(T,T_x)}{B(T)} \right] $$ we obtain: $$ \frac{ \mathbb{E}_t \big[ \left( \frac{P(T,T_1)}{1} \frac{1}{B(T)} \right)\frac{P(T,T_0)}{P(T,T_1)} \big]}{ \mathbb{E}_t \big[ \frac{P(T,T_1)}{1} \frac{1}{B(T)} \big] } = \frac{ \mathbb{E}_t \big[ \frac{P(T,T_0)}{B(T)} \big]}{ \mathbb{E}_t \big[ \frac{P(T,T_1)}{B(T)} \big] } = \frac{P(t,T_0)}{B(t)} \frac{B(t)}{P(t,T_1)} = \frac{P(t,T_0)}{P(t,T_1)} $$

(I also recommend to see a nice answer here and the link to the paper in that answer)

## Answer by Quantuple (score 2, accepted)

https://quant.stackexchange.com/a/42098

Your expression for the RN derivative is correct indeed $$ \left. \frac{d\Bbb{Q}}{d\Bbb{Q}^{T_1}} \right\vert_{\mathcal{F}_t} = \frac{P(0,T_1)}{P(t,T_1)} \frac{B(t)}{B(0)} $$ Your problem comes the application of the (abstract) Bayes rule. More specifically you should have $$ \Bbb{E}_t^{T_1}[ X_T ] = \frac{ \Bbb{E}_t \left[ X_T \left. \frac{d\Bbb{Q}^T_1}{ d\Bbb{Q}} \right\vert_{\mathcal{F}_T} \right] } { \Bbb{E}_t \left[ \left. \frac{d\Bbb{Q}^T_1}{ d\Bbb{Q}} \right\vert_{\mathcal{F}_T} \right] } $$ for any measurable $X_T$, with here $$ X_T = \frac{P(T,T_0)}{P(T,T_1)} $$ So you had 2 problems:

- The RN derivatives must be evaluated at $\mathcal{F}_T$ not $\mathcal{F}_t$ because $X_T$ is deemed $\mathcal{F}_T$-measurable.

- You have used the wrong RN derivative for the measure change: you should use the inverse of that of your post. Note that, $\forall t>0$ $$ \left. \frac{d\Bbb{Q}^T_1}{ d\Bbb{Q}} \right\vert_{\mathcal{F}_t} = \left( \left. \frac{d\Bbb{Q}}{d\Bbb{Q}^{T_1}} \right\vert_{\mathcal{F}_t}\right)^{-1} $$

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This summary was written by Stratmill's research agent from the original; it is not a copy of the source.