IV Around Election Results Election IV
The most obvious volatility event in the calendar is the most expensive place to be long volatility.
Quick answer: IV around election results is the largest scheduled volatility event in the Indian market, building toward roughly 28.5% implied volatility on the eve of counting day and then crushing only part-way — settling above where it began — because the new political configuration itself introduces fresh policy uncertainty that the count resolves but does not remove.
In simple words
When votes for a general election are counted, the market can move several percent in either direction within an hour as trends firm up and reverse. It is the single largest scheduled volatility event in the Indian calendar. A NIFTY at-the-money option can build from a calm 12.5% all the way to about 28.5% on the eve of counting day — roughly double what a Budget produces and more than five times an RBI meeting. But the crush afterward is different from every other event: implied volatility does not fall back to where it began. It settles around 14.0%, above the starting 12.5%, because knowing who won does not remove the uncertainty about what they will do.
That incomplete crush is the feature that sets an election apart. When the Budget speech ends, the fiscal questions are answered and volatility falls deep and clean. When the vote count ends, one question is answered — who governs — but a new one is opened: what policies the new configuration will pursue, how stable it is, what it means for specific sectors. So the option correctly refuses to crush all the way back. The count resolves the identity of the government without resolving its consequences.
Implied volatility through a general-election count
The biggest build, and the crush that does not finish
At-the-money NIFTY implied volatility around counting day: base 12.5%, peak 28.5% on the eve, settling at 14.0% — above where it started.
Professional explanation
The largest scheduled volatility event, and why
A general-election count concentrates more uncertainty into a single known day than any other scheduled event in the Indian market. Counting day can deliver intraday index moves of several percent in both directions within an hour, as early trends point one way and later rounds reverse them. The stakes are the composition of the government for years, the whole direction of economic policy, and the fate of every policy-sensitive sector at once — a breadth that dwarfs a single Budget and a depth that dwarfs any rate decision. So the option market charges accordingly: a build toward roughly 28.5% at-the-money implied volatility on the eve, against a calm base near 12.5%, is the highest scheduled reading on the calendar.
Exit polls are a second event inside the first
The election is not one event but two nested ones. Exit polls are released before counting day, and they function as a preliminary, lower-resolution version of the result. Their effect on implied volatility is genuinely two-sided. If the exit polls are decisive and point clearly to one outcome, they can collapse implied volatility early, before counting day even arrives, because much of the uncertainty has been resolved in advance. If they conflict with one another, or point to an outcome the market considers unreliable, they can inflate implied volatility further, adding a layer of doubt about whether the polls themselves can be trusted. A trader modelling the election as a single dated catalyst will misprice it, because the exit-poll sub-event can move the whole implied-volatility path days before the count.
The crush is incomplete, and that is the whole point
Every other scheduled event on this site crushes back to or below its starting implied volatility, because the event fully resolves. An election does not. When the count finishes, the market knows who governs, but it does not yet know what that government will do — its policy priorities, its stability, its posture toward specific industries are all new sources of uncertainty created by the very result that resolved the old one. So implied volatility crushes only part-way, settling above its pre-election base: from 28.5% on the eve down to around 14.0%, not back to 12.5%. That residual elevation is not a mispricing or a slow crush waiting to complete; it is the option correctly pricing the policy uncertainty that a new political configuration introduces. Reading it as leftover premium to be sold is a way to be short exactly the uncertainty the market just told you is real.
Counting day trades like nothing else
The intraday character of counting day is unlike any other event session. Because results arrive in rounds and early leads can reverse, the index can swing several percent up and several percent down within the same hour, repeatedly, before a trend holds. Realised volatility on the day can be extraordinary — and yet, because implied volatility built to 28.5%, even an extraordinary day can fall short of the priced move. The gamma of a long option position is enormously valuable in those swings, which is a genuine attraction of owning options into the count; but that value has to be weighed against the vast premium paid and the crush that follows, and against the fact that the wildest intraday session of the year can still leave a straddle underwater if the net move is inside what 28.5% implied volatility already charged for.
The most expensive way to be long volatility
A long straddle bought a month before counting day can lose money even on a violent counting day, because it paid 28.5% implied volatility for a move the market had already priced. This is the professional point and the uncomfortable one: buying volatility into the most obvious volatility event in the calendar is the most expensive way to be long volatility. Everyone can see the election coming, so the premium is marked up more than for any other event, and the bar the realised move must clear to profit is correspondingly the highest of the year. The intuition 'the election will be wild, so buy options' is the single most reliably punished intuition in Indian option trading, precisely because it is the most widely held. The move can be genuinely wild and the long option can still lose. That sentence sells no options-buying courses, which is why so few of them contain it.
Formula
Backing counting day out of NIFTY implied variance
σ²_event = σ²_total · D − σ²_diff · (D − 1), t_e = 1/365
The event-variance split at its most dramatic. On the eve the NIFTY at-the-money implied volatility is 28.5% against a 12.5% base, with D = 7 calendar days to expiry. So σ²_event = 0.285²·7 − 0.125²·6 = 0.474825, giving σ_event = 68.91% and a one-day move m = σ_event · √(1/365) = 3.61% of spot — about 866 NIFTY points at 24,000. That is the single largest scheduled event-day move on the calendar, and it is exactly what a long straddle must beat to profit.
- σ²_eventVariance contributed by counting day alone — the quantity solved for.
- σ²_totalSquare of the eve-of-count at-the-money implied volatility, 0.285².
- σ²_diffSquare of the calm base implied volatility before the election build, 0.125².
- σ_eventCounting day's own annualised volatility, √(σ²_event) ≈ 68.91% — the highest of any scheduled event.
- σ_totalEve-of-count at-the-money implied volatility, 28.5%.
- σ_diffCalm base implied volatility before the build, 12.5%.
- DCalendar days to expiry on the eve of counting day; D = 7 in the worked example.
- t_eOne event day as a fraction of a year, 1/365.
- mThe one-standard-deviation counting-day move the market is pricing, m = σ_event · √(1/365) ≈ 3.61% of spot.
Why the crush is incomplete
σ_after² = σ_diff² + σ_policy² ⟹ σ_after (14.0%) ≳ σ_diff (12.5%)
After the count, the option prices ordinary diffusive variance plus a new policy-uncertainty variance the result created. That is why implied volatility settles at 14.0%, above the 12.5% it started from, rather than crushing to or below the base like a Budget or an RBI meeting. The residual is the new government's policy uncertainty, correctly priced — not leftover premium waiting to be sold.
How to read an election count out of the option chain
- Take the calm base implied volatility from before the election build began. NIFTY: 12.5%.
- Read the eve-of-count at-the-money implied volatility on the expiry that closes after counting day. NIFTY: 28.5%.
- Count calendar days to that expiry. Here D = 7.
- Apply σ²_event = σ²_total · D − σ²_diff · (D − 1) = 0.285²·7 − 0.125²·6 = 0.474825.
- Square-root to the annualised counting-day volatility: σ_event = 68.91%.
- Convert to a one-day move: 68.91% ⁄ √365 = 3.61% of spot, about 866 NIFTY points at 24,000 — the largest priced event move of the year.
- Read the incomplete crush separately: implied volatility settles at 14.0%, above the 12.5% base, and the 1.5-point residual is the new government's policy uncertainty. Do not treat it as leftover premium to sell. Watch the exit-poll release as a second event that can move the whole path days before the count.
Practical example
NIFTY worked example
NIFTY is at 24,000, a general-election count is seven calendar days ahead of the near expiry, and the at-the-money implied volatility has built from a calm 12.5% to 28.5% on the eve — the highest scheduled reading of the year. Split counting day out. Total variance on the eve is 0.285² × (7/365) = 0.081225 × 0.019178 = 0.001558. Ordinary variance over the six non-count days is 0.125² × (6/365) = 0.015625 × 0.016438 = 0.000257. The difference, 0.001301, is counting day's variance; annualised, 0.001301 × 365 = 0.4748, so σ_event = √0.4748 = 68.9%. As a one-day move that is 68.9% × √(1/365) = 3.61% of spot, about 866 NIFTY points. Interpret it: the market is pricing an 866-point counting-day move. A long straddle bought at 28.5% needs the net move to exceed roughly 866 points, after the crush from 28.5% toward 14.0%, merely to break even. Counting day can swing several percent both ways within an hour and still net less than 866 points — which is exactly how the wildest session of the year leaves a straddle underwater.
BANKNIFTY worked example
BANKNIFTY around the count magnifies both the size and the incompleteness. Suppose the banking index builds from a 13.0% base to 31.0% on the eve, because the banking sector is acutely exposed to which government forms and to its stance on public-sector banks, financial reform and fiscal policy. Running the split with D = 7: σ²_event = 0.310² × 7 − 0.130² × 6 = 0.6727 − 0.10140 = 0.57130, so σ_event = 75.6% and the priced counting-day move is 75.6% ⁄ √365 = 3.96% of spot, about 2,059 BANKNIFTY points at 52,000. And like NIFTY, BANKNIFTY's crush is incomplete — it settles above its pre-election base, because a new government's posture toward the financial sector is a fresh, unresolved question. The lesson repeats at larger amplitude: the most exposed index prices the largest counting-day move, and buying that priced move a month early is the most expensive possible way to be long the election.
Lot sizes used above (NIFTY 75, BANKNIFTY 30) are those in force at the time of writing; NSE revises them periodically. Figures exclude brokerage, STT, exchange charges, stamp duty and GST. Examples are teaching scenarios built on round numbers — they are not historical quotes, not backtests and not trade calls.
Advantages & limitations
What it is good for
- It is the most legible event on the calendar for the decomposition: an enormous, unmistakable build makes the eve-of-count σ_event easy to extract and the priced counting-day move (about 3.61% of spot) unambiguous.
- The incomplete crush is itself a readable signal — the gap between the settled implied volatility and the pre-election base measures how much fresh policy uncertainty the market thinks the result created.
- The nested exit-poll sub-event gives an early, tradeable observation point: the implied-volatility reaction to the polls reveals whether the market considers the outcome decided before the count.
- The extreme gamma available into counting day is genuinely valuable in the several-percent intraday swings, which is a real attraction of owning options into the session for those who can hedge it actively.
- Because the amplitude is so large, the cost of being wrong about the priced move is transparent — nobody can pretend the premium is small, which forces an honest reckoning with whether the realised move can beat it.
Where it breaks down
- The single-day decomposition is stretched by the nested exit-poll event, which can move the whole implied-volatility path days before the count, so attributing all the variance to counting day overstates that one session.
- The incomplete crush means the standard 'crush back to base' model does not apply — a trader who assumes a full crush will misjudge both the post-event implied volatility and the value of any position held through it.
- The base implied volatility is unusually hard to fix because the build is long and the market's ambient volatility is itself often elevated by the political uncertainty for weeks, contaminating the diffusive baseline.
- The extreme intraday reversals mean realised volatility and the net daily move can diverge wildly — a day of several-percent swings can net a small close, so the realised-versus-priced comparison that decides a straddle is especially treacherous.
- It says nothing about which sectors the new government will favour; the index σ_event captures the aggregate counting-day move but not the sector dispersion a political change can unleash, which can dwarf the index move as it does in a Budget.
Common mistakes
- Buying a straddle a month before counting day because 'the election will be wild'. You paid 28.5% implied volatility for a move already priced, and the straddle can lose even on a violent day if the net move is inside the roughly 866 points charged for.
- Treating the post-count residual as leftover premium to sell. Implied volatility settles at 14.0% above the 12.5% base because a new government's policy is genuinely uncertain — selling that residual is being short exactly the uncertainty the market just confirmed is real.
- Modelling the election as a single dated catalyst. Exit polls are a second event that can collapse implied volatility early if decisive or inflate it further if they conflict, so the implied-volatility path can move sharply days before the count.
- Assuming a full crush like a Budget's. The election crush is incomplete by nature, so a position sized for a fall back to base misjudges the post-event level and the value of anything held through it.
- Confusing a wild intraday session with a profitable long option. Counting day can swing several percent both ways within an hour and still net less than the priced move, leaving a long straddle underwater despite extraordinary realised volatility.
- Selling the largest premium of the year as though the reward proved the safety. The 28.5% is the biggest premium precisely because it stands in front of the biggest tail; several-percent intraday swings can breach a wide short before any crush arrives.
- Ignoring sector dispersion. Like a Budget, an election can move sectors far more than the index as the new government's favourites and targets reprice, so the index σ_event understates the risk in an exposed sector position.
Professional usage
Volatility desks model the election as a multi-stage event with two dated nodes — the exit-poll release and the count — and a residual policy-uncertainty term that survives the count. They fit the term structure so the expiry containing the count carries the enormous event variance, price the exit-poll node as a partial resolution that can pull implied volatility down early, and explicitly carry a higher post-election baseline rather than assuming a clean crush. The trade is expressed against their own estimate of the counting-day move and of how much residual uncertainty the result will leave, and it is delta-hedged aggressively through a session whose several-percent intraday reversals make gamma both valuable and dangerous.
Because the priced move is the largest of the year and the whole market can see the event, professional positioning is less about buying or selling the obvious volatility and more about relative value: counting-day variance against exit-poll variance, index variance against sector variance, and the post-count residual against the desk's view of policy uncertainty. Risk managers stress the several-percent both-way intraday path explicitly, since a position that is comfortable at the close can be breached repeatedly during the session, and they size the residual-elevation scenario separately because the incomplete crush leaves books exposed to a higher volatility regime after the event than before it.
Key takeaways
- A general-election count is the largest scheduled volatility event in the Indian market — a build toward roughly 28.5% at-the-money implied volatility on the eve, against a 12.5% base.
- The crush is incomplete: implied volatility settles around 14.0%, above where it began, because the count answers who governs without answering what they will do. That residual is correctly priced policy uncertainty, not leftover premium.
- Exit polls are a second event nested inside the first — decisive polls can crush implied volatility early, conflicting polls can inflate it further, so the path can move days before the count.
- The priced counting-day move is about 3.61% of spot, roughly 866 NIFTY points — the largest of the year, and exactly what a long straddle must beat to profit.
- Buying volatility into the most obvious volatility event in the calendar is the most expensive way to be long volatility: a straddle bought a month early can lose even on a violent counting day.
The election is the clearest lesson on the site that being right about volatility is not the same as making money from it. Everyone knows the count will be wild, so the option market charges 28.5% for it — the highest premium of the year — and the realised move, however violent, has to beat that premium to pay. The incomplete crush is the second lesson layered on the first: the count resolves who governs but opens the question of what they will do, so implied volatility settles above its starting point and refuses to hand back all the premium. The most obvious volatility event in the calendar is the most expensive place to be long volatility, and that is a sentence worth more than any election-day trade.
Frequently asked questions
Why is an election count the largest volatility event on the calendar?
Why doesn't implied volatility crush all the way back after the count?
What is the incomplete crush and why does it matter?
How do exit polls affect implied volatility?
How much does the market expect NIFTY to move on counting day?
Can a long straddle lose money on a violent counting day?
Is buying options for the election a good idea?
Is selling the election premium safer because it is so large?
Why can counting day swing several percent both ways within an hour?
What does the settled 14.0% implied volatility represent?
How is the election different from a market shock?
How does the election affect BANKNIFTY?
Should I model the election as one event or several?
Is the extreme gamma into counting day worth owning?
Does India VIX show the election build?
Why is the base implied volatility hard to pin down for an election?
Does an election move sectors more than the index, like a Budget?
What happens to implied volatility if exit polls are decisive?
What happens if exit polls conflict with each other?
Why is the election the clearest example that being right is not enough?
Voice search & related questions
Natural-language questions people ask about iv around election results.
Why does implied volatility go so high before an election count?
Why didn't option prices fall all the way back after the results?
Should I buy a straddle for the election?
How much move is priced into counting day?
Do exit polls matter for options?
Is it safer to sell options into the election since premium is so high?
Can the market be wild on counting day and my option still loses?
Sources & references
- Election Commission of India — results and counting schedule
- NSE — India VIX methodology and index products
- Cboe — VIX White Paper (model-free implied volatility)
- Zerodha Varsity — Option Greeks and volatility
Last reviewed 10 July 2026. Educational content only — not investment advice.