Why Overnight Implied Volatility Cannot Be Isolated from Expiry Volatility
Summary
The document considers whether options can reveal the market’s expected volatility from one close to the following open. It explains that an option’s implied variance over its life represents variance accumulated across the full interval to expiry. A quoted expiry volatility therefore does not identify how much variance belongs to the overnight period without additional assumptions or data.
Possible proxies include estimating next-day intraday variance and subtracting it from close-to-close implied variance, scaling by the historical ratio of overnight to total volatility, or using a related asset that trades through the overnight session. The answers caution that short-dated options may be relatively insensitive to volatility, and there are no options expiring exactly at the next open in the setting described. These approaches provide estimates rather than a direct market-implied overnight measure; event risk and the chosen proxy can materially affect them.
Key ideas
- Expiry implied variance aggregates variance over the entire option life.
- An option quote alone cannot separate overnight variance from variance during other parts of the expiry interval.
- Subtracting an estimate of next-session variance from close-to-close implied variance is a possible but imprecise proxy.
- Historical overnight-to-total volatility ratios or continuously traded related assets can inform estimates.
- Overnight events may require separate treatment because short-dated option prices can be weakly sensitive to volatility.
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# How to calculate overnight implied volatility?
# How to calculate overnight implied volatility?
I am trying to workout how to calculate the implied volatility of the overnight movement from market close to open. That is, the volatility of the from the closing price $S_t$ to the opening price $S_{t+1}$.
If we want an estimate of current volatility from close to close, we can use ATM options that are close to expiry, then turn the annualized vol into a daily vol by:
$$\sigma_{daily} = \frac{\sigma_{annual}}{\sqrt{252}}$$
But since the time interval is affectively 1 tick:
$$\lim_{t\to \infty} \sigma_{overnight} = \frac{\sigma_{annual}}{\sqrt{t}} = 0$$
Which obviously has no basis in reality when the stock does jump up/down quite a bit. Rather than using historical measure, how can we use options to get the implied overnight move?
I am basically trying to get the market’s estimate of overnight volatility
## Answer by foreignvol (score 1, accepted)
https://quant.stackexchange.com/a/79393
The implied variance you infer at time $t$ for an option with expiry $T$ is the integral of the instantaneous variances: $$(T-t)\hat\sigma^2(t,T) = \int_t^T\sigma_u^2 du$$ so your request is a bit impossible without extra assumptions (eg. overnight variance is $x\%$ of total day variance).
However, in some cases, you may have an option with the same underlier but in a different region which could help you "complete" your term structure.
## Answer by Arshdeep (score 3)
https://quant.stackexchange.com/a/79387
The limit you created is misleading because:
$lim_{t→∞}σ_{daily}$ is defined w.r.t a sequence of values and is not the same as $σ_{daily}$, which is a single value and NOT 0 in a squeezed time interval. For example, if the stock is B.M., the vol in time interval $dt$ is $sqrt(dt)$, which is a part of a sequence which converges to 0 as you squish $dt$ but it is itself NOT 0.
There are no options that trade at close and expire at open, so you cannot directly infer what the market thinks about implied vol overnight.
One way is, you will need an estimate of forward vol from open to close tomorrow and subtract it from current implied vol from close today to close tomorrow to get an estimate. However these aren't very very reliable because short term options aren't very sensitive to vol.
One hack is to scale the normal implied volatility by (Historical_overnight_vol)/(Historical_overall_vol).
## Answer by volquant (score 1)
https://quant.stackexchange.com/a/79397
Implied volatilities by definition is sqrt integrated variance till expiry. There is no way to tell any particular section of time apart.
You can make historical estimates that’s it. Sometimes if there’s an overnight event (like CPI), you need to price it accordingly too. Or if you can find a paired stock/index that trades whole day, you can calculate some proxy vol.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.