Financial Terms for Options

Overview of Options Markets and Valuation Techniques

What Are Options?

Options are financial derivatives that give the buyer the right, but not the obligation, to buy or sell an underlying asset at a specified price on or before a certain date. They come in many varieties and are used for hedging, speculation, and income generation.

FeatureOptionsFutures
NatureAsymmetric payoff (right, not obligation)Symmetric (obligation)
PremiumBuyer pays upfront premiumNo upfront premium
ExerciseOptional (American or European style)Obligated on expiration
UnderlyingEquities, ETFs, indices, FX, commoditiesSimilar, broader scope

Types of Options

TypeDescription
Call OptionRight to buy the underlying asset at strike price.
Put OptionRight to sell the underlying asset at strike price.
American OptionCan be exercised any time before expiry.
European OptionCan only be exercised at expiration.
Cash-SettledSettles to cash value, not delivery of asset.
Physically-SettledRequires delivery of underlying on exercise.
Weekly OptionsShort-dated options, expiring every week.
Daily Options (0DTE)Same-day expiry, increasingly popular among retail and algorithmic traders.

Example: Long Call Option

  • Underlying: AAPL stock trading at $190
  • Strike Price: $200
  • Premium: $2.50 per share
  • Expiration: 1 month

Payoff at expiry:

Payoff=max(STK,0)P \text{Payoff} = \max(S_T - K, 0) - P

Where:

  • ( S_T ): Price at expiry
  • ( K ): Strike price
  • ( P ): Premium paid

If AAPL closes at $210, the payoff is:

max(210200,0)2.50=7.50 \max(210 - 200, 0) - 2.50 = 7.50

Options Pricing

Options are priced using probabilistic models that account for the time value of money and the probability of the option finishing in-the-money. The most common model is Black-Scholes-Merton:

C=S0N(d1)KerTN(d2) C = S_0 N(d_1) - K e^{-rT} N(d_2) d1=ln(S0/K)+(r+σ2/2)TσT,d2=d1σT d_1 = \frac{\ln(S_0 / K) + (r + \sigma^2 / 2) T}{\sigma \sqrt{T}}, \quad d_2 = d_1 - \sigma \sqrt{T}

Where:

  • ( C ): Call option price
  • ( S_0 ): Spot price of underlying
  • ( K ): Strike price
  • ( T ): Time to maturity
  • ( r ): Risk-free interest rate
  • ( \sigma ): Volatility of the underlying
  • ( N(\cdot) ): Cumulative normal distribution

Other models (e.g., Binomial Tree, Monte Carlo, Heston) are used for path-dependent or exotic options.

Mark-to-Market and Valuation

Options positions are typically marked to market daily based on their theoretical value and observable market prices. This process ensures:

  • Real-time profit/loss calculation
  • Margin requirements for writers
  • Transparency for investors

Options clearinghouses (e.g., OCC in the U.S.) require daily collateral adjustments based on valuation shifts.

Volatility Surfaces and Market Making

Options Market Makers provide liquidity across strikes and expiries by quoting bid/ask prices for many options. To manage risk and remain profitable, they build and update a volatility surface, which maps implied volatility as a function of strike and time:

  • Vol Skew: Implied vol varies by strike (e.g., puts trade richer than calls for equities).
  • Vol Term Structure: Volatility varies by time to maturity.

By interpolating and extrapolating market data, market makers can:

  • Identify mispricings
  • Hedge delta, gamma, and vega exposure
  • Quote consistently across thousands of strikes

They earn the bid/ask spread and benefit from statistical arbitrage if their models predict future price action better than the market.

Example: Volatility Surface in Equity Options

  • Stock: XYZ, trading at $100
  • Vol Surface Snapshot:
Strike \ Time1W1M3M6M
9040%35%30%28%
10032%30%27%25%
11034%31%28%26%

Notice the skew: downside puts (strike 90) have higher implied volatility than at-the-money or upside calls.

Use Cases

  • Hedging: Protective puts, covered calls, collars.
  • Speculation: Directional bets, volatility plays, earnings trades.
  • Yield Enhancement: Selling puts, covered call writing.
  • Arbitrage: Box spreads, reverse conversions, dispersion trading.

Summary Comparison: Options vs Swaps

FeatureOptionsSwaps
NatureAsymmetric payoff, optionalityContractual exchange of cash flows
Trading VenueExchange-traded or OTCMostly OTC / SEF
PricingVolatility-based models (e.g. Black-Scholes)Discounted cash flow models
Mark to MarketDaily via clearinghouse or brokersDaily or as needed by counterparties
Risk ExposureDelta, gamma, theta, vegaInterest rate, credit, FX exposure
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