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Compounding Three-Month Forward Rates into a Six-Month Period Rate

Article Quant Q&A · Author: JonDoe

Summary

The document derives how adjacent three-month forward rates can be compounded to calculate an implied rate spanning a six-month accrual period. It expresses each forward rate through zero-coupon bond prices, combines the discount-factor ratios, and illustrates the result with a numerical example using a 30/360 convention.

A key limitation is that this compounded rate is not necessarily the rate quoted for a contract settling against a six-month interbank benchmark. Such a contract also reflects the basis between three-month and six-month benchmarks, which cannot be inferred from three-month rates alone. The calculation therefore produces a mathematically consistent composite period rate, but does not by itself supply the market inputs needed to price a specific six-month FRA.

Key ideas

  • Adjacent forward rates can be compounded by multiplying their accrual growth factors.
  • The resulting composite rate depends on the accrual fractions and day-count convention.
  • A compounded three-month rate does not necessarily equal a six-month benchmark fixing.
  • Pricing a specific six-month FRA requires information about the relevant benchmark basis.

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Full text
# Transform a 3M FRA Rate to a 6M FRA Rate


# Transform a 3M FRA Rate to a 6M FRA Rate












I have a question whether it is possible to transform 3M FRA rates to 6M FRA rates without having any spreads available. Let's give an example:

FRA 3M:

FRA 1x4 FRA 2x5 FRA 3x6 FRA 4x7 FRA 5x8 FRA 6x9

And what I need to calculate is:

FRA 6M:

FRA 1x7 FRA 2x8 FRA 3x9 FRA 4x10 FRA 5x11

Is there a possibility doing this?

## Answer by Gordon (score 2, accepted)

https://quant.stackexchange.com/a/37698

From a pure mathematical perspective, this is possible. For example, consider dates $t_0 \le t_1 < t_2 < t_3$. Given \begin{align*} L(t_0, t_1, t_2) = \frac{1}{\Delta t_2}\left(\frac{P(t_0, t_1)}{P(t_0, t_2)}-1 \right), \end{align*} and \begin{align*} L(t_0, t_2, t_3) = \frac{1}{\Delta t_3}\left(\frac{P(t_0, t_2)}{P(t_0, t_3)}-1 \right), \end{align*} where $\Delta t_i = t_i-t_{i-1}$, and $P(t, u)$ is the price at time $t$ of a zero-coupon bond with maturity $u$ and unit face value.

Then \begin{align*} L(t_0, t_1, t_3) &= \frac{1}{t_3-t_1}\left(\frac{P(t_0, t_1)}{P(t_0, t_3)}-1 \right)\\ &=\frac{1}{t_3-t_1}\left(\frac{P(t_0, t_1)}{P(t_0, t_2)}\frac{P(t_0, t_2)}{P(t_0, t_2)}-1 \right)\\ &=\frac{1}{t_3-t_1}\Big(\big(1+\Delta t_2 L(t_0, t_1, t_2)\big)\big(1+\Delta t_3 L(t_0, t_2, t_3) \big)-1 \Big). \end{align*}

For example, assuming 30 days a month and the day-count convention is 30/360. If FRA $1\times 4$ is 4% and FRA $4\times 7$ is 5%, then \begin{align*} FRA \,1\times 7 &=\frac{1}{0.5}\Big(\big(1+0.25\times 0.04)\big)\big(1+0.25 \times 0.05 \big)-1 \Big)\\ &=0.04525, \end{align*} that is, 4.525%.

## Answer by Attack68 (score 1)

https://quant.stackexchange.com/a/38323

An FRA (forward rate agreement) is an interest rate derivative contract with specific documentation. A 3M FRA settles to 3M-IBOR, and a 6M FRA settles to 6M-IBOR, not a 6M rate that is a compounded composite rate of two 3M periods.

Gordon's answer does as much as you can with the given information: it transforms a 3M rate into a 6M 'period' with compositions, but the resulting rate suffers the inherent problem it does not represent 6M-IBOR. My opinion is that the difference (not just spot but also forward) in the 3M-IBOR/6M-IBOR basis is so important in these prices that the specific question stating "without having any [basis] spread available" means you cannot determine the specific prices of 6M FRAs.

In all major currencies, GBP, USD, EUR and JPY the 6M-IBOR basis is different in spot and forward levels leaving scope for a lot of variability. As a trader I would never price a 6M FRA with only the information of 3M FRAs.

An analogy is deriving the yields of French government bonds compared to German government bonds without having the country spread available. You can make some sensible estimations and derive some general conclusions but you can't 'price' them.

Shown in full with attribution under the source's licence. Licence: CC BY-SA 4.0 (Stack Exchange)

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