Finance track

Finance · Phase 6

Derivatives & Pricing

Forwards, futures, options, swaps, no-arbitrage and the Greeks.

In plain English

A derivative is a side bet whose payoff depends on something else — a price, a rate, an index. Forwards lock a price in; options buy the right to change your mind.

The advanced view

Options are priced by replication: a dynamic mix of the underlying and cash reproduces the payoff, so the option must cost what the replicating portfolio costs. Risk-neutral valuation is the same statement re-expressed — discount expected payoffs under a probability measure where every asset drifts at the risk-free rate. The Greeks are the sensitivities of that replication.

Derivatives derive value from an underlying. Four building blocks: forwards (bilateral contracts to trade at a future date), futures (standardised, exchange-traded, daily settled), options (the right but not the obligation) and swaps (exchanging cash-flow streams, most often fixed for floating).

Option pricing rests on no-arbitrage: two portfolios with identical payoffs in every state must have the same price. The binomial model builds a tree of up/down moves and prices by replication, working backwards to today. Black–Scholes is the continuous-time limit, assuming geometric Brownian motion and constant volatility.

Black–Scholes call

C = S×N(d1) − K×e^(−rT)×N(d2)
d1 = [ln(S/K) + (r + σ²/2)T] / (σ√T)
d2 = d1 − σ√T
Put–call parity: C − P = S − K×e^(−rT)

The Greeks measure sensitivities: delta to spot, gamma to delta, theta to time decay, vega to volatility, rho to rates. Implied volatility is the volatility that makes model price equal market price — forward-looking, and the number traders actually quote.

Essential vocabulary

Moneyness
Relationship of strike to spot: ITM, ATM, OTM. Determines intrinsic value.
Risk-neutral pricing
Price as if investors are risk-neutral and discount at the risk-free rate. Works because replication does not depend on preferences.
Volatility smile/skew
Implied vol varies across strikes; OTM puts price higher, reflecting crash risk. A documented failure of constant-vol Black–Scholes.
Hedging
Offsetting positions to reduce risk. Delta hedging neutralises direction; gamma and vega risk remain.

Intuition

A derivative is a contract about a payoff, and every payoff can be drawn as a hockey stick. Once drawn, pricing follows from replication: if you can build the same payoff with cash and the underlying, arbitrage forces the two prices together. Put-call parity is that argument in one line.

Common pitfalls

  • ×Ignoring the premium when quoting a break-even.
  • ×Treating implied volatility as a forecast rather than a price.
  • ×Forgetting that a hedge changes the distribution of outcomes, not the expected value, before costs.

Worked example — call break-even and parity

Step 1 of 4

  1. 1Strike 100, premium 6, spot 98

Why it works

No-arbitrage is again the engine. Put-call parity, C − P = S − Ke^(−rT), holds because the two sides deliver identical payoffs at expiry in every state of the world; if prices differ you can lock a riskless profit today. That single identity lets you back out a missing option price, an implied forward, or an implied dividend.

How it is used — check an option quote with parity

Step 1 of 4

  1. 1S = 100, K = 100, r = 5%, T = 1, call =

Deeper

Deeper: put-call parity and what the Greeks actually tell you

Put-call parity is the single most useful derivatives identity: C − P = S − K·e^(−rT). It lets you price a put from a call, synthesise a forward, and spot mispricing without any model. It holds by arbitrage, independent of Black–Scholes.

The Greeks are sensitivities, not predictions. Delta is the hedge ratio (∂V/∂S), gamma the curvature of delta, vega sensitivity to volatility, theta the daily bleed from time. A long option is long gamma and long vega but short theta: you pay time value for the right to be convex.

Must know cold

  • Put-call parity: C − P = S − K·e^(−rT).
  • A forward has linear payoff; an option has asymmetric payoff and costs a premium.
  • Option value rises with volatility and with time to expiry.
  • Delta hedging removes direction, not volatility risk.

Exercises

Try each one on paper before revealing the worked solution.

Exercise 1

S = 100, K = 100, r = 4%, T = 1, call = 10. What is the put worth?

Exercise 2

An airline hedges fuel with a collar: buys a call at 90, sells a put at 70, zero net premium. What has it done?

References

  • Hull, J. C. (2022). Options, Futures and Other Derivatives. 11th Edition, Pearson, Harlow.
  • Berk, J. and DeMarzo, P. (2023) Corporate Finance. 6th Global Edition, Pearson, Harlow.

Statistics glossary for this phase

The terms an interviewer expects you to use precisely — with the pitfall attached to each.

Volatility (annualised)

Standard deviation of returns scaled to a year by the square root of time.

In finance

The quoted risk measure for any asset, and the input to option prices.

Pitfall

×Scaling by time instead of the square root of time, or mixing daily and monthly returns.

Normal distribution

Symmetric bell curve summarised by mean and standard deviation.

In finance

The default assumption behind volatility, VaR and option pricing.

Pitfall

×Financial returns have fat tails; the normal curve understates crash frequency badly.

Discount rate

Rate that converts future cash to today's value; compensation for time and risk.

In finance

Small changes swing a DCF more than most operating assumptions.

Pitfall

×Mismatching the rate to the cash flow: WACC for firm cash flows, cost of equity for equity cash flows.

Practise this

The drills and cases where this phase turns into arithmetic you do out loud.