Option buying looks like limited-risk leverage. The arithmetic says otherwise. Time decay, implied volatility, transaction costs and the three-way probability problem.

Buying an option is marketed on one true fact: your maximum loss is the premium paid. That is genuinely limited risk. What it obscures is the probability of losing that premium, which is high, and the frequency with which it happens, which is every week.

Limited risk repeated fifty times a year is not limited.

The Three-Way Problem

To profit from a long option, three things must go right simultaneously:

• Direction. The underlying must move the way you expected.
• Magnitude. It must move far enough to cover the premium paid.
• Timing. It must do both before expiry.

A stock buyer needs only the first, and has unlimited time. An option buyer needs all three, within days.

If you assign a generous 50% probability to each independently, the joint probability is 12.5%. That is a caricature — the three are correlated — but it captures why an intuition calibrated on stock investing badly misjudges option buying.

Theta: The Cost of Being Right Slowly

An option’s price has two parts: intrinsic value (how far in-the-money it is) and extrinsic value (everything else — time and volatility premium).

Extrinsic value decays to zero at expiry. Always. That decay is theta, and it is not linear.

Decay accelerates near expiry

An option with 30 days remaining loses extrinsic value slowly. The same option in its final three days loses it rapidly — the decay curve steepens sharply toward zero.

This is the specific reason weekly options are punishing for buyers. You are purchasing an asset in the phase of its life where it loses value fastest, and you are doing it repeatedly.

The out-of-the-money trap

Far out-of-the-money options are cheap, which makes them attractive to small accounts. They are cheap because the probability of finishing in-the-money is low. A ₹5 option that expires worthless is a 100% loss on that position. Buying twenty of them across a quarter and being right twice does not produce a profit unless the two winners are extraordinary.

The low absolute price is not a discount. It is the market’s estimate of the probability.

Implied Volatility: The Second Way to Be Right and Still Lose

Option prices embed implied volatility (IV) — the market’s expectation of future movement. When expected volatility rises, option prices rise even if the underlying has not moved. When it falls, prices fall.

The event trap

Before results, budget announcements, policy decisions or major economic data, IV rises. Options become expensive because everyone expects a move.

The event happens. The uncertainty resolves. IV collapses — an IV crush.

The frequent outcome: the underlying moves in your predicted direction, and your option still loses money, because the volatility premium you paid for evaporated faster than the directional gain accrued.

This surprises new buyers more than anything else, because it feels like being right and losing anyway. It is.

The structural point

Options are priced by participants with volatility models. When you buy a straddle before an event because “a big move is coming”, you are buying at a price that already assumes a big move. Your edge has to come from the move being bigger than priced, not merely from it happening.

Transaction Costs Compound Against Frequency

Every derivatives trade carries brokerage, Securities Transaction Tax, exchange transaction charges, SEBI turnover fees, stamp duty and GST. These are levied on transaction value regardless of outcome.

SEBI’s studies found transaction costs consumed a substantial portion of turnover for individual traders — and because costs are charged per trade, a high-frequency approach pays them repeatedly whether it wins or loses.

For a strategy already facing an unfavourable probability distribution, the cost layer converts a marginally negative expectancy into a decisively negative one.

The Regulatory Data

SEBI’s FY25 study, covering the top 13 brokers with roughly 96 lakh unique F&O traders, found:

• Over 91% of individual traders in equity derivatives incurred net losses
• Aggregate net losses of ₹1,05,603 crore, up about 41% from ₹74,812 crore in FY24
• Unique individual traders fell from 61.4 lakh in Q1 FY25 to 42.7 lakh in Q4

The earlier three-year study (FY22–FY24) found 93% of individual traders lost money, with aggregate losses exceeding ₹1.8 lakh crore, and only about 1% earning profits above ₹1 lakh after transaction costs.

SEBI’s analysis also found that most derivative profits accrued to larger entities using algorithmic and high-frequency trading — proprietary desks and FPIs with co-located infrastructure and institutional cost structures.

“Then I’ll Sell Options Instead”

Option selling has a higher win rate. It also has a different risk shape, and swapping one for the other without understanding that is how accounts are destroyed.

• Risk is not limited. A short naked call has theoretically unbounded loss. A short put’s loss is bounded only by the underlying going to zero.
• Margin is substantial, and rises when volatility rises — exactly when a position is already under stress.
• The payoff is asymmetric in the wrong direction. Many small wins, occasional large losses. One gap event can erase a year of premium collection.
• Regulatory costs apply here too. SEBI’s October 2024 measures added margin on short options on expiry day.

Selling options is a legitimate strategy for capitalised participants with defined risk structures — spreads, covered calls against long stock, cash-secured puts sized to actual purchase intent. It is not a safer version of buying.

Where Options Are Genuinely Useful

The instrument is not the problem. Its use as a leveraged directional bet is.

• Protective puts on a concentrated equity holding you intend to keep — buying insurance, with a known cost
• Covered calls against stock you already own, accepting capped upside for premium
• Cash-secured puts at a price you would genuinely be happy to buy at
• Defined-risk spreads where both maximum profit and maximum loss are known before entry

Note the pattern: each of these either reduces an existing exposure or has a defined worst case that you have consciously accepted.

If You Still Want to Buy Options

• Buy time. Longer-dated options decay more slowly per day. You pay more, and you get more room to be right.
• Buy closer to the money. Higher delta means more of the premium is intrinsic value, which does not decay.
• Avoid buying into IV spikes. Check whether current IV is elevated relative to its own recent range before an event.
• Size for total loss. Assume each position goes to zero. If that assumption makes the size trivial, the strategy is telling you something.
• Cap total derivatives exposure at a small percentage of net worth.
• Track net P&L over 24 months, after all costs and taxes. Compare it against a Nifty index fund over the same period. That comparison is the only honest scorecard.

Frequently Asked Questions

Is option buying safer than futures because losses are capped?

The maximum loss per trade is capped. The probability of incurring that maximum is high, and the losses repeat. Futures lose more slowly; options lose more completely.

Why do far OTM options attract small accounts?

Because low absolute price feels affordable. The price reflects a low probability of finishing in-the-money — it is cheap for a reason, and that reason is the payoff distribution.

Do longer-dated options fix the decay problem?

They reduce it. Decay is slower per day further from expiry, but the premium is higher and the capital at risk is larger.

What has changed with expiry days?

NSE derivatives now expire on Tuesday and BSE on Thursday, for contracts from 1 September 2025 onwards. Verify current schedules on the exchange websites.

Sources and Further Reading

• SEBI study on individual traders in the equity derivatives segment (FY25)
• SEBI press release, September 2024 — updated study covering FY22 to FY24
• SEBI circular dated 1 October 2024 on the index derivatives framework
• NSE and BSE contract specifications and expiry calendars