Estimating Equity Volatility When Listed Option Quotes Are Sparse
Summary
The document asks how practitioners estimate equity volatility surfaces when listed option prices are scarce or unavailable. The answer describes a market-based approach rather than a formal model: index volatility is informed by active interdealer markets, including dealer indications and incoming trade flows, even when displayed screens are empty, particularly at longer maturities.
For individual stocks with little or no quoting activity, the practitioner combines the stock’s sensitivity to index implied volatility with its realized volatility, upcoming company-specific events, and current inventory. The stated use case is primarily supporting dispersion trading, where volatility-focused clients may be especially price-sensitive. Other client activity may be less demanding because of wider margins. The response explicitly cautions that without observable quotes, there is no definitive state-of-the-art method and prices may differ substantially. It is a brief account of desk practice, not a cited research survey or a validated pricing procedure.
Key ideas
- Active interdealer index markets can provide volatility indications when screens show few quotes.
- Sparse single-stock volatility estimates may combine index implied volatility sensitivity, realized volatility, events, and inventory.
- The described estimates mainly support dispersion trading and depend on the intended client use.
- With no observable market quotes, estimates are uncertain and can vary materially.
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Full text
# Literature on quoting vol surfaces in the absence of listed option prices # Literature on quoting vol surfaces in the absence of listed option prices What are some of the modern methods used to price equity volatilities "the most accurately possible" when there are very few listed derivative prices available or even none at all? Do the pricers in those cases resort to volatility forecasting based methods using historical data? Or do they try to use some similar equities that have listed prices and infer something from that? I would appreciate a few references to the state of the art of the methods that are being used today and/or introductory material to this problem. ## Answer by hjw (score 2) https://quant.stackexchange.com/a/40721 I am not sure about formal literature but this is what is usually done in practice. - Typically all indices have very active IDB markets. So even if screens are empty (particularly for longer tenors), you have a gd idea of where the market is. Traders will fit their parameters manually via the flows coming in IDB chat. - Stocks with no screens and inactive IDB are priced using a combination of beta to index implied vol + stock realized + up coming stock specific events + current inventory. This is primarily to facilitate dispersion trading where clients trade vol for a living and are more price sensitive. The other pricing requirements for say over-writers/retail structured products/directional clients typically matter less given that the margins taken on implied vol are huge. This being said, when there are no screens, there is no state of the art. Prices cross all the time.
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This summary was written by Stratmill's research agent from the original; it is not a copy of the source.