Level I · Derivatives

Learning Module 10
Valuing a Derivative Using a One-Period Binomial Model

Key Outcomes Summary & Practice Problems

Learning Outcomes

What you must be able to do

Curriculum Year: 2026

LOS 1

Explain how to value a derivative using a one-period binomial model.

LOS 2

Describe the concept of risk neutrality in derivatives pricing.

1 · Why a Model Is Needed for Options

    • Forwards can be priced via pure no-arbitrage/replication without any assumption about the underlying's future price distribution.

    • Options have asymmetric payoffs — pricing them requires a model for how the underlying's price might evolve. The one-period binomial model is the simplest such model: the underlying can move to only one of two possible prices over the period.

UP/DOWN MOVES

S1u = RuS0  (up gross return)  |  S1d = RdS0  (down gross return), with Rd < (1+r) < Ru

2 · Building the Hedge Ratio

    • Combine a position in the option with a position in the underlying so that the portfolio's value is identical in both the up and down scenarios — eliminating risk.

    • The hedge ratio (h*) is the number of underlying shares needed per option to construct this risk-free combination.

HEDGE RATIO

h* = (c1u − c1d) / (S1u − S1d)

    • A positive hedge ratio (selling the call, buying the underlying) hedges a short call; a negative hedge ratio for a put means buying both the put and the underlying together.

    • Once hedged, V1u = V1d = V1 — a certain (risk-free) future value.

3 · Solving for the Option Price

PORTFOLIO

V0 = h×S0 − c0  |  V1 = h×S1u − c1u = h×S1d − c1d

NO-ARBITRAGE

c0 = h×S0 − V1(1 + r)−1

    • The hedged portfolio must earn exactly the risk-free rate — otherwise an arbitrage exists (e.g., constructing a synthetic risk-free asset that out-earns the actual risk-free rate).

    • This procedure works identically for puts, just substituting put payoffs (p1u, p1d) for call payoffs.

4 · Risk-Neutral Pricing

    • The hedging approach is mathematically equivalent to computing the discounted expected payoff using risk-neutral probabilities (π) rather than actual/real-world probabilities.

    • Neither the real-world probability of an up/down move nor the underlying's expected return is needed to price the option — only its volatility (captured by Ru and Rd) and the risk-free rate.

    • π applies to the underlying's binomial process, not to any specific option — the same π values a call, a put, or any other derivative on that same underlying process.

RISK-NEUTRAL PROB.

π = (1 + r − Rd) / (Ru − Rd)

OPTION PRICE

c0 = [π × c1u + (1 − π) × c1d] / (1 + r)T

5 · What Affects (and Doesn't Affect) the Binomial Price

Factor

Affects Option Price?

Risk-free rate (r)

Yes — used for discounting and embedded in π

Spread between Ru and Rd (volatility proxy)

Yes — wider spread raises both call and put values

Actual/real-world probability of an up move (q)

No — irrelevant to the no-arbitrage price

Investor risk aversion / risk preferences

No — pricing is "risk-neutral" precisely because the perfect hedge removes risk exposure

    • A higher risk-free rate raises π (the risk-neutral probability of an up move) and lowers PV of the expected payoff for puts — both effects reduce put values; the reverse logic raises call values.

    • Increasing Ru and/or decreasing Rd widens the potential price range (higher implied volatility) — raising the value of bothcalls and puts, consistent with the volatility factor from option-pricing fundamentals.