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Why Risk-Neutral Pricing Uses the Risk-Free Drift

Article Quant Q&A · Author: Phil-ZXX

Summary

The document addresses why option pricing under the risk-neutral measure uses the risk-free rate rather than a stock’s real-world expected return. It begins with a discrete-time replication argument: a call payoff can be matched by a portfolio of stock and cash, so its price follows from the replicating portfolio rather than the probability assigned to market outcomes. It then raises the apparent puzzle that otherwise similar stocks with different expected returns can have equal option prices.

The responses emphasize replication and arbitrage. A call struck at zero pays the stock price, so holding the stock replicates it regardless of drift; put-call parity also constrains how calls and puts can be priced. If investor demand pushes an option away from its replication-based price, arbitrageurs can take the other side and hedge with the underlying. The discussion is intuitive rather than a continuous-time derivation, and it does not detail the assumptions required for replication or arbitrage pricing.

Key ideas

  • A replicating portfolio can determine an option’s price without using real-world outcome probabilities.
  • A zero-strike call is replicated by holding the underlying stock.
  • Put-call parity constrains call and put prices in relation to the forward value.
  • Arbitrageurs can counter demand-driven option mispricing by trading and hedging the underlying.
  • The document gives intuition but not a formal continuous-time derivation or its assumptions.

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Full text
# Intuitive Reasoning for Using Risk-Neutral Measure


# Intuitive Reasoning for Using Risk-Neutral Measure












Although we thoroughly covered risk-neutral pricing in university I never fully understood it in the context of continuous-time processes.

But first of all, lets consider a discrete time example:

Here we want to evaluate the call option price $C_0$ with strike $K=100$. If the interest rate (until the option expiry) is $r=2\%$, then we need to solve $$\Delta\cdot S_u + \phi\cdot(1+r)=C_u$$ $$\Delta\cdot S_d + \phi\cdot(1+r)=C_d$$ for $\Delta,\phi$, which then gives $C_0 = \Delta\cdot S_0 + \phi \approx 10.6952$.

Here I can see how the real-world probaility $p$ $-$ and ultimately the real-world drift $-$ do not matter per se as we exactly replicate the option with the stock itself and some cash account.

But on the continuous side, things are not that simple. And I am just not sure why we would always use the risk-free $r$ as drift instead of the real drift $\mu$. For example, say we have 2 stocks that are exactly the same (same current price & volatility) but differ only in terms of their drift parameters $\mu_1,\mu_2$. Then a call option on stock 1 will have exactly the same price as a call option on stock 2 (given that strike and maturity are the same), because both would use $r$ as the "drift" for pricing. But if $\mu_1>\mu_2$ then everybody would want buy the call option on stock 1.

Any advice would be greatly appreciated.

## Answer by Mark Joshi (score 11, accepted)

https://quant.stackexchange.com/a/17759

this is probably the most asked question in quantitative finance... There are many answers. One nice example to consider is what if the calls were struck at zero. The call then pays the stock price at time $T$ and so it's value today must the stock price today since we can replicate by holding one unit of stock. This will be true regardless of the drift of the stock.

Another point is that put-call parity forces puts and calls to have the same value at the money (actually at the forward.) Drift arguments that send call prices up, send put prices down, but they have to be equal to each other.

(A large part of my book Concepts etc is devoted to this question.)

## Answer by Yawning Lion (score 1)

https://quant.stackexchange.com/a/17737

You may bet on stock 1 by buying a call option on stock 1, and drive up the option price. But some arbitrageurs will immediately short the option and hedge with stock 1, pocketing the profit. These arbitrages will force the call option back to normal.

Discrete or continuous-time, the logic is the same.

Shown in full with attribution under the source's licence. Licence: CC BY-SA 4.0 (Stack Exchange)

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.