Market makers quote options and manage the risk of their inventories. They can hedge with shares, futures or other options. Observing a large option trade does not reveal the dealer’s complete book, the customer’s other positions or the hedge that will actually be used.
What a delta hedge would require
Suppose a dealer is short 100 standard calls with delta 0.40 and has no other exposure. Option delta is −100 × 100 × 0.40 = −4,000 shares. Buying 4,000 shares would approximately offset it. If call delta rises to 0.55, that isolated book would need another 1,500 shares to remain locally neutral.
This short-gamma example buys more after a rise. A long-gamma book generally rebalances in the opposite direction. The example establishes a conditional mechanism, not a forecast: a real dealer may already hold offsetting options, hedge with futures, use a tolerance band or change inventory before rebalancing.
Volume is not net exposure
Every option transaction has a buyer and seller. Large gross volume can coexist with small net inventory changes when trades offset. Open interest counts outstanding contracts but does not identify which participant is long or short. Same-day opening and closing activity can also be poorly represented by a previous end-of-day open-interest snapshot.
Cboe’s analysis of SPX 0DTE market impact uses participant-position information to distinguish net exposure from gross activity. Its historical findings concern its data and period; they do not establish that hedging is always large or always negligible.
Trade classification is uncertain
A print near the ask is often labeled buyer-initiated, but quotes can change and multi-leg packages can make individual leg prices misleading. An opening call purchase might hedge short stock, close another economic exposure or form one leg of a spread. “Calls bought” is therefore insufficient evidence of an unhedged bullish bet.
A dealer-gamma estimate that assigns all calls one ownership sign and all puts another is a model assumption. Changing those signs can reverse the result without changing the observed open-interest data. Report that sensitivity rather than presenting an estimated gamma level as a directly measured force.
Use flow as context
State the timestamp, data coverage, sign inference, Greek model and treatment of trades opened or closed during the day. Compare modeled hedge demand with plausible underlying liquidity and other market activity. Price also responds to news, cash flows, financing and discretionary trades.
Vanna and charm can change a hedge even without a spot move, but their existence does not make the resulting flow certain. A rigorous explanation separates the mathematical sensitivity, the assumed inventory and the behavioral choice to hedge it.
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Reviewed . Examples are illustrative; verify exact contract and broker terms.
References: Cboe: evaluating market-maker positioning; OIC: volatility and the Greeks.