Rate–Index Covariance and FX Futures Convexity Adjustments
Summary
The note derives the futures–forward price difference from the change between the risk-neutral measure and the maturity-forward measure. This difference appears as a covariance between the accumulated funding factor and the terminal index level. For an FX index, the discussion says market practice often ignores the term, while a simple Hull–White rate model combined with a lognormal index model gives a way to estimate its size from rate and index volatilities, their correlation, and time to expiry.
A second response notes that the adjustment for non-rate futures is generally more relevant at longer maturities and gives a hybrid-model expression containing both a rate–underlying correlation contribution and a rate-volatility contribution. That second term can persist even when the Brownian drivers are uncorrelated, because stochastic rates also affect the underlying drift and its relationship to the cash account. These are model-based estimates; the note does not establish universal market conventions or cover calibration details.
Key ideas
- The futures–forward difference arises from covariance between the funding factor and the terminal index value.
- A change of measure expresses the adjustment as a covariance term.
- A simple hybrid model estimates the effect using rate volatility, index volatility, correlation, and expiry.
- A rate-volatility contribution may remain even when the underlying and rate shocks are uncorrelated.
- The practical importance depends on maturity and model assumptions.
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Full text
# How is calculated the futures/forward convexity adjustment for FX?
# How is calculated the futures/forward convexity adjustment for FX?
I could find lots of stuff online for IR derivatives but it seems there isn't too much on FX for this specific adjustment.
## Answer by Antoine Conze (score 1)
https://quant.stackexchange.com/a/61947
The futures/forward convexity adjustment comes from the covariance between rates and the index. For a future/forward that settles on an index $I_T$ on expiry $T$ the future price is $F_{\text{fut}} = \mathbb{E}^{\mathbb{P}}\left[I_T \right]$, where $\mathbb{P}$ is the risk neutral measure, and the forward price is $F_{\text{fwd}} = \mathbb{E}^{\mathbb{Q}^T}\left[I_T \right]$, where $\mathbb{Q}^T$ is the $T$-forward measure. Applying the change of measure $d\mathbb{P}/d\mathbb{Q}^T = e^{\int_0^T r_t dt} D(T)$ you get $$ F_{\text{fut}} = \mathbb{E}^{\mathbb{Q}^T}\left[e^{\int_0^T r_t dt} D(T) I_T \right] = \mathbb{E}^{\mathbb{Q}^T}\left[ I_T \right] + \mathbb{E}^{\mathbb{Q}^T}\left[(e^{\int_0^T r_t dt} D(T)-1) I_T \right] \\= F_{\text{fwd}} + D(T)\mathbb{COV}^{\mathbb{Q}^T}\left[e^{\int_0^T r_t dt}, I_T \right] $$ When $I_T$ is an FX index or an equity index market practice seems to disregard the covariance term.
You can however get an estimate of its magnitude using a simple Hull & White model with volatility $\sigma_r$ and no mean reversion for $r_t$, and an exponential brownian motion for $I_T$ with volatility $\sigma_I$ and correlation $\rho$ between the two brownians, the formula above becomes $$ F_{\text{fut}} = F_{\text{fwd}} e^{\sigma_r \sigma_I \rho T^2/2} $$ With say $\sigma_r = 50$ bps, $ \sigma_I = 10\%$, $\rho = 25\%$ and $T=5$ you would get $F_{\text{fut}} = F_{\text{fwd}} \times 1.0006$, so it is not entirely negligible.
## Answer by river_rat (score 1)
https://quant.stackexchange.com/a/61975
The futures/forward convexity adjustment for non-interest rate futures only tends to matter for futures with maturities greater than a year (which tend to be part of bespoke structures and not traded in size on screen). You can get a closed form solution in a GBM-Ho-Lee hybrid model if you don't mind grinding though some partial differential equation work you will find that the convexity adjustment is proportional to $\frac{1}{2}\rho\sigma_r\sigma_xT^2 + \frac{1}{3}\sigma_r^2T^3$
So we need a convexity adjustment even if the two Brownian motions are uncorrelated, since the short rates still drives the drift of the underlying process which means there will be a terminal correlation between it and the cash account.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.