The no-arbitrage bounds of the previous note are constraints on option prices but not formulas. To price an option exactly, we need a model — a description of how stock prices evolve. The one-period binomial model is the simplest possible such model: the stock can move to one of exactly two values over the option's life.
That simplicity is not a weakness. It is precisely the two-outcome structure that allows us to replicate the option exactly with a portfolio of stock and cash — and therefore to price the option without making any assumption about investor risk preferences. The resulting formula introduces three ideas that persist throughout all of derivatives pricing:
- Delta (): the number of shares needed to hedge one short option — the sensitivity of the option's value to the stock price.
- Risk-neutral probabilities: the unique probabilities under which all assets earn the risk-free rate; discounting at under these probabilities gives the correct price in any world, not just a risk-neutral one.
- The no-arbitrage price = cost of the replicating portfolio: an option's price is the cost of the hedge, not a reflection of subjective views on direction.
Learning objectives. After this note you should be able to:
- set up the one-period binomial tree and label the four terminal values;
- derive the delta from the condition that the replicating portfolio is riskless;
- price a European option by discounting the risk-free portfolio;
- derive the risk-neutral probability and verify that it makes the stock grow at ;
- price a European call or put using the risk-neutral pricing formula;
- explain why the stock's real-world expected return is irrelevant to option pricing.
In this lesson
- The one-period binomial lattice
- The replicating portfolio and delta
- Risk-neutral valuation
- The delta connection
- Pricing a put in the one-period model
Before you start
- No-Arbitrage Bounds and Put-Call Parity
- Forward and Futures Prices: Cost-of-Carry, Known Income, and Continuous Yields
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