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Why Short-Dated Options Can Have Steeper Implied Volatility Skews

Article Quant Q&A · Author: user7265

Summary

The document explains short-expiry volatility skew as a feature of market option prices viewed through the Black–Scholes model. Implied volatility is a model-based way to express observed prices, not a direct measurement of constant underlying volatility. When out-of-the-money options trade above the prices predicted using at-the-money volatility, their implied volatilities appear higher. A diffusion model assigns very low probability to large short-term moves, while market prices may reflect the possibility of jumps and rapid changes.

The responses offer possible reasons for the extra premium: informed demand for options that benefit from sharp moves, the severe tail exposure and ruin risk faced by option sellers, and behavioral demand resembling lottery-ticket buying. They suggest that the pattern may be particularly pronounced in stressed markets. These are explanatory hypotheses rather than tested causal findings, and the document emphasizes that implied volatility remains a useful comparative description even when the model behind it is imperfect.

Key ideas

  • Implied volatility translates an option’s market price into a parameter of a chosen pricing model.
  • Higher implied volatility away from the money indicates prices above those predicted using at-the-money volatility.
  • Diffusion models may understate the probability of large short-term moves when markets can jump.
  • Informed demand, seller tail risk, and behavioral preferences are proposed explanations for higher short-dated premiums.
  • The explanations are hypotheses, while implied volatility can still help compare option prices.

Tags

Full text
# Why are short expiries associated with more pronounced volatility skews?


# Why are short expiries associated with more pronounced volatility skews?












I've noticed that for a given strike price, the shorter expiration dates of options have more pronounced volatilities

why is that?

## Answer by pbr142 (score 3)

https://quant.stackexchange.com/a/10984

You have to remember that implied volatility comes from a "wrong" model to give the right answer. Option prices are determined by supply and demand (subject to a few arbitrage bounds). A higher implied volatility for OTM/ITM options relative to ATM options simply means that the prices of these options are higher than the Black-Scholes model would imply (using constant ATM implied volatility as the volatility of the underlying price diffusion).

The Black-Scholes model makes several strong assumptions, none of which are true. The implied volatility smile is simply an expression of "how wrong" the model is relative to market prices. For short maturities, Black-Scholes option for OTM options are basically zero. The reason is that the stock price is modeled as a (continuous) diffusion and therefore there is only a very small chance that the money will finish in the money. Market participants, on the other hand, may think that the probability is actually much higher because prices do jump and change rapidly within small time frames. Hence, the pronounced shape of the implied volatility smile at short maturities.

## Answer by Noah (score 1)

https://quant.stackexchange.com/a/10990

To expand on pbr142,

If the implied volatility (vis. Black & Scholes) is persistently higher for short-expiry contracts away from the money, the problem is the model, not the thing that's modeled. The price of a contract at a given point in time is the "correct" price at that point in time (or we should move this to philosophy.stackexchange.com). So how come these contracts aren't described as well by a simple, closed-form (at least in Europe) model? Some possibilities:

- Informed trading. Since the premium is so much lower, the potential long-side reward/penalty for being right/wrong is significantly greater/lower for a pronounced move. Conversely, without some perceived edge (which can come in the form of non-public information, better research, or a better model), a trader is less likely to go long, since her time to react is less and premium decay is greater. The short side of the contract (probably also more likely to be a market maker) has to guard against this posibility. Indeed, insider trading is often revealed by large, anomalous OTM-short-expiry positions. If informed traders have an observed tendency to cluster in to these types of contracts, smart sellers should insist on a greater premium. My guess is that this accounts for the bulk of the difference.

- Greater short-side risk of ruin. While smooth probability distributions may turn out to model risk pretty well on an infinite time horizon (we'll have to wait a bit to find out), they don't have a great track record with extreme events in the here-and-now. For any given extreme event (which isn't trying to hear about sigma), the maximum potential loss on the short side approaches parity on a per-contract basis. On a cost/benefit basis, it's therefore much greater. This should condition a greater premium. Additionally, while it might be possible to eek out a degree of distributional independence with a smart portfolio strategy under normal conditions, anecdotal evidence (we've only had thirteen-ish bubbles since we started keeping track, according to Goldman, who seems to know a thing or two) suggests that under extreme conditions, independence falls away. So offsetting extreme risk is much trickier.

- Behavioral features. I mostly included this one to have three bullet points, but it's probably true. What's the implied volatility of a lottery ticket?

Black & Scholes or similar implied volatility can still be a helpful descriptive parameter, particularly on a comparative basis. It is usefully wrong.

## Answer by adam (score 0)

https://quant.stackexchange.com/a/10281

What you suggest is mainly true in times of stress. The shorter maturity deals are priced with larger implied volatility to incorporate the short term volatility in the market.

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.