Key takeaways
– An option series is the set of all option contracts on the same underlying security that share the same type (call or put), the same strike price, and the same expiration date.
– Because all contracts in a single series have identical economic payoffs, their theoretical prices should be (and usually are) very similar; observed differences arise from liquidity, market microstructure, and model limitations.
– Option series are grouped inside an option class (all calls or all puts on a given underlying) and belong to one of the exchange’s option cycles (which determine which months are listed).
– Publicly traded option series are guaranteed by a clearinghouse (e.g., the Options Clearing Corporation), so counterparty default risk is largely eliminated for exchange-traded options.
– Practical trading requires checking liquidity (volume, open interest, bid/ask spreads), implied volatility and Greeks, and having clear entry/exit and risk-management rules.
What is an option series?
An option series = all option contracts that have:
– the same underlying security,
– the same option type (call or put),
– the same strike price, and
– the same expiration month/date.
Example: every call option on Apple with a $150 strike that expires on January 20, 2023 is an option series. Each contract in the series has the same payoff profile; one option contract typically represents 100 shares of the underlying.
Option class vs. series
– Option class: all calls (or all puts) on a particular underlying. For example, “AAPL calls” is a class.
– Option series: one row in the class — a single strike and a single expiration within that class.
Option cycles and expiration months
Exchanges assign option listings to cycles that determine which monthly expirations will be listed for particular strikes. Standard monthly option series historically expire on the third Friday of the expiration month (weekly options and additional expirations also exist for many underlyings). Exchanges stagger listings so not every strike appears in every month.
Why prices in a series should be similar — and why they sometimes aren’t
– All contracts in a series give identical contractual rights, so their fair (theoretical) price should be the same.
– In practice, observed prices can differ because of:
– Liquidity and market microstructure (wide bid/ask spreads, low volume, different market makers).
– Supply/demand imbalances.
– Differences between market-implied inputs and the assumptions of pricing models (e.g., Black–Scholes assumes constant volatility; real markets show volatility surface features such as smiles and skews).
– Discrete trading increments, transaction costs, and time-varying risk premia.
Clearing and counterparty risk
Exchange-traded option contracts are guaranteed by a clearinghouse (in U.S. markets, the Options Clearing Corporation, OCC). The clearinghouse becomes the buyer to every seller and the seller to every buyer, which largely removes direct counterparty default risk for retail traders. (For details, see the OCC: https://www.theocc.com)
How traders use option series
– Directional trades: buying (long) calls or puts in a chosen series.
– Spreads and multi-leg strategies: using multiple series (different strikes and/or expirations) to craft risk/reward profiles (vertical spreads, calendar spreads, iron condors, butterflies).
– Arbitrage and market-making: exploiting pricing inconsistencies between series (e.g., calendar arbitrage, conversion/reversal, put-call parity violations) when transaction costs and execution risk allow.
– Volatility trading: taking positions based on differences between implied volatility (in a series or across expirations) and expected/historical volatility.
Practical steps: how to analyze and trade an option series
1. Locate the option series
– Use your broker’s options chain or an exchange/market data site to find the underlying and expand the calls or puts class.
– Identify the strike and expiration you intend to trade; confirm whether the option is American or European style (affects early exercise).
2. Check liquidity metrics
– Volume (today’s trades) and open interest (outstanding contracts) — higher values mean easier execution and tighter pricing.
– Bid–ask spread — narrow spreads reduce execution cost.
– Depth/market quotes — how many contracts are available at the bid and ask.
3. Evaluate pricing and implied volatility
– Check implied volatility (IV) for the series and compare to:
– IV across strikes (skew/smile),
– IV across expirations (term structure),
– historical realized volatility of the underlying.
– Compute a theoretical price using a model (e.g., Black–Scholes for European-style European-like scenarios) as a reference; remember model assumptions and limitations.
4. Analyze Greeks and risk exposures
– Delta, gamma, theta, vega, rho — understand how the position will react to moves in the underlying, passage of time, and volatility changes.
5. Consider execution strategy
– Use limit orders or price-improving algos to avoid paying the spread.
– For large or complex orders, consider slicing trades or using broker execution tools.
– For multi-leg trades, verify leg fill logic (synchronous fills vs. leg-out risk).
6. Manage position sizing and risk
– Define max loss, position size relative to account, margin requirements for sold positions.
– For short option positions, be prepared for assignment risk and margin calls.
– Set stop-loss or exit rules and consider hedges.
7. Monitor and adjust
– Track underlying price moves, IV changes, time decay, and open interest/volume.
– Roll, close, or offset positions per your plan when risk/reward shifts.
8. Expiration and assignment
– Know how the option will settle (physical delivery vs cash settlement).
– Be aware of the last trading day and exercise cutoff times. For American-style options, deep-in-the-money short calls can be assigned early (e.g., before an ex-dividend date).
Common practical strategies that use multiple series
– Vertical (bull/bear) spreads: buy and sell two series with same expiration but different strikes.
– Calendar (time) spreads: buy and sell series with same strike but different expirations.
– Iron condor and butterflies: combine multiple strikes and usually the same expiration to limit risk and define profit zone.
– Box trades and conversion/reversal: arbitrage-style strategies that exploit mispricings across series and synthetics.
Special considerations and risks
– Liquidity risk: many option series, especially far OTM strikes or long-dated expirations, have low liquidity and wide spreads.
– Model risk: theoretical prices can be misleading when model inputs (e.g., volatility) are misspecified.
– Assignment risk: selling options exposes you to assignment (and potentially large margin obligations).
– Commissions and slippage: can erase small arbitrage opportunities.
– Expiry behavior: exercise/assignment rules, settlement conventions, and corporate actions (dividends, splits) affect series pricing and outcome.
Further reading and sources
– Investopedia — Option Series (source summary): https://www.investopedia.com/terms/o/optionseries.asp
– Investopedia — Black–Scholes Model: https://www.investopedia.com/terms/b/blackscholes.asp
– Options Clearing Corporation (OCC) — clearing and settlement overview: https://www.theocc.com
– CBOE — options expiration and trade tools: https://www.cboe.com
Summary
An option series is a basic unit of option trading: all options of one type (call or put), with the same strike and expiration, on the same underlying. Because they have identical payoffs, series should theoretically trade at the same price, but real-world frictions (liquidity, volatility structure, model limits) create differences and trading opportunities. Successful use of option series requires careful attention to liquidity, implied volatility, Greeks, execution technique, and disciplined risk management.