Put-Call Parity Under High Volatility in Black-Scholes
Summary
This note examines an apparent arbitrage in put-call parity when a stock follows a zero-drift Black-Scholes process, with no interest or dividends. For a strike equal to the current stock price, parity makes the call and put prices equal. The apparent puzzle is that a call approaches the stock price as volatility grows, so the put seems almost as valuable as the stock even though its payoff is bounded by the strike.
The resolution is the process’s lognormal distribution: the negative volatility correction in log price means the stock is near zero with high probability at large volatility or long horizons, while rare large outcomes account for its expected value. The note gives the terminal-price expression and a numerical illustration, but does not develop a full derivation of option prices or quantify practical trading frictions. Its conclusion depends on the stated model and assumptions; it explains why the put’s payoff is not almost surely small relative to its price.
Key ideas
- Put-call parity equates a call and put with the same at-the-money strike when rates and dividends are zero.
- Under the specified zero-drift stock process, log price includes a negative volatility adjustment.
- At high volatility, low stock prices can be common even when rare large outcomes keep the expected stock value unchanged.
- The apparent arbitrage comes from misreading the probability distribution, not from a failure of parity.
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# Understanding put-call parity
# Understanding put-call parity
I'm a person with math background trying to break into quantitative finance, and there's something about put-call parity that is not making sense to me. Below I'll detail my understanding of the theorem and set the parameters such that it in my opinion produces a contradiction. Sorry if this is too basic and well-known, I've tried searching for a similar question without results.
Put-call parity. Assume we have no interest rates and no dividends. Assume there is a stock with price $S_0$ at time $0$. Then, consider a put and a call option with strikes $S_0$ and maturities at $T$. The options have the price relation $C = P$.
This can be proven easily by noticing that a portfolio where we sell a put option and buy a call option at time $0$ must have the same payoff as a forward contract on the stock with maturity at $T$ and strike $S_0$. In a world with no interest rates or dividends, the forward contract with these properties has no value and the theorem follows.
My problem. The put-call parity theorem does not make any assumptions on the model, so it needs to hold under any model as long as no arbitrage is allowed. So let us assume that the stock follows the usual Black-Scholes Ito process with $0$ drift and volatility $\sigma$:
$$ dS = S\sigma dW_t $$.
Let us assume that the stock price at time $0$ is equal to $S_0 = 1$. Let us also assume that the volatility $\sigma$ is very large.
It is well-known that under the Black-Scholes model the price of the call option approaches the spot price of the stock when $\sigma \rightarrow \infty$. This can be shown directly from the Black-Scholes pricing formula.
Therefore, if $\sigma$ is very large, and $S_0 = 1$, we must have $C \approx 1$. By the put-call parity, also $P \approx 1$. But now the stock price can never be $0$ (at least the probability of that is vanishing). Therefore the payoff of the put minus its price is $(1-S)^+ -P \approx (1-S)^+-1$, which is almost surely negative.
The contradiction. Sell put options and make (almost) guaranteed profit, contradicting the no-arbitrage assumption.
To put the above into numbers, if $T=1$ year, $\sigma = 10$ we already have $P \approx 0.9999994$. That means that the maximum loss in selling the put option is $0.000000057$ in the highly unlikely event that $S_T = 0$. Contrast that with the case of buying the call option and the payoff in the "equally unlikely" event that $S_T \rightarrow \infty$.
Discussion. Mathematically the put-call parity makes sense to me, but the implication above is very unintuitive. What is the explanation to this?
Solution. If the stock follows the dynamic $dS = S\sigma dW$, then we can solve $$S_T = S_0e^{-\frac{1}{2}\sigma^2T + \sigma\sqrt{T}Z}$$, where $Z \sim N(0,1)$. Thus for large values of $\sigma$ or $T$ we have $S_T \approx 0$ with high probability. Therefore the intuition that the stock goes up equally likely as down does not hold for this model.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.