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2015issue C1126-27

Filtering option trades by bid-ask width

A quoted bid-ask spread on a stock, exchange-traded fund, or option is treated as an immediate transacting cost that a newly purchased long must recover before it can show a gain. The historical workflow applies a 0.05 ceiling on quote width so that this implementation cost stays small.

  • The displayed bid-ask spread is treated as an immediate transacting cost. A newly purchased long must recover that implementation cost, before commissions, before the position can show a gain.
  • A nickel filter of 0.05 maximum quote width is used so that the transacting cost stays small.
  • Liquidity is judged first by quote tightness. Open interest and traded volume are secondary clues, and underlyings with deeper cash-market liquidity are described as usually supporting tighter option markets.
  • Call quotes on a highly liquid large-cap name are shown with widths near 0.05, and an in-spread order is described as often fillable within that band. A less liquid biotechnology name is shown with a 0.45 width, a gap characterized as common among biotechnology and pharmaceutical underlyings.
Entries in this reading3 entries

The bid-ask as an immediate charge

A quoted bid-ask difference on a stock, exchange-traded fund, or option can be treated as an immediate transacting cost. That bid-ask spread is the displayed gap between bid and ask, and it is the charge for crossing the market.

A newly purchased long must recover this implementation cost, before commissions, just to get back to even. The option premium is the quoted contract price. A long needs this price to rise by more than the spread before the position can show a gain.

Recovering a 0.10 entry gap

An August-dated 40-strike call shown at 2.00 bid and 2.10 ask has a 0.10 width. That width equals 10 dollars per standard contract if the call is bought at the offer and sold at once at the bid.

Offsetting that 0.10 entry gap requires the bid to reach 2.10. A later 2.10 by 2.18 quote is presented as a breakeven exit when commissions and fees are ignored.

A nickel filter on quote width

A 0.05 ceiling on quote width is used as a screen so that the transacting cost stays small. That nickel filter is the maximum width allowed under this workflow.

Tightness first, then other liquidity clues

Quote tightness is treated as the leading liquidity clue. Open interest and traded volume are recognized as additional but secondary clues. Liquidity here means ease of entering and exiting near the touch, judged first by quote tightness and only secondarily by volume or open interest.

Underlyings with deeper cash-market liquidity are described as usually supporting tighter option markets.

Nickel markets and wide biotechnology quotes

Call quotes on a highly liquid large-cap name are shown with widths near 0.05. A buy limit placed inside the market, an in-spread order, is described as often fillable within that nickel band.

A less liquid biotechnology name is shown with a 0.45 option width. Similarly wide markets are characterized as common among biotechnology and pharmaceutical underlyings.

Citigroup September 2015 call quotes

Two Citigroup September 2015 calls stay near a nickel-wide market. The 55-strike is 0.10 wide (4.20–4.30) and the 57.5-strike is 0.06 wide (2.30–2.36), so both pass or nearly pass the nickel liquidity screen. Bid and ask points are taken from the Calls table in Figure 1.
Two Citigroup September 2015 calls stay near a nickel-wide market. The 55-strike is 0.10 wide (4.20–4.30) and the 57.5-strike is 0.06 wide (2.30–2.36), so both pass or nearly pass the nickel liquidity screen. Bid and ask points are taken from the Calls table in Figure 1.Citigroup Inc. (C) September 2015 calls · quotes as of the article, November 2015
Educational research material, not investment advice. Historical source context does not establish present-day performance.
19 of 32 in the Commission analysis track
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All readings on this track · 32 readings
  1. 1985Matching ticket size to negotiable commission schedules
  2. 1985Minimum tickets can price a small book out of its own exit
  3. 1992Stop-order slippage as an execution cost filter
  4. 1993Cost-aware walk-forward evaluation of pattern-detector signals
  5. 2001Audit high-turnover operating conditions as one procedure
  6. 2002Front-load futures commission and slippage
  7. 2005Inactive account fees as hidden implementation cost
  8. 2010A pre-trade liquidity screen for futures contracts
  9. 2011Currency option venues, spreads, clearing, and premium cost
  10. 2012Filter futures contracts by liquidity and implementation cost
  11. 2012Futures commission versus one tick of cost
  12. 2012Ranking futures liquidity for executable orders
  13. 2013Filter option day trades by spread, volume, and fees
  14. 2013Filter futures by liquidity, open interest, and effective margin
  15. 2014Book futures data fees as implementation cost
  16. 2015Use a futures liquidity rank as a pre-trade checklist
  17. 2015Filter unexecutable futures by liquidity, open interest, and margin
  18. 2015Futures liquidity ranking as an execution filter
  19. 2015Filtering option trades by bid-ask width
  20. 2016Exchange quote fees as execution costs and liquidity filters
  21. 2016Filter futures by liquidity, open interest, and margin cost
  22. 2016Comparing dollar-index futures execution costs and liquidity
  23. 2016A futures liquidity ranking as a screen for executable orders
  24. 2017Filter a futures board by liquidity, open interest, and implementation cost
  25. 2017Filter futures contracts by liquidity and margin cost
  26. 2017How residency rules raise futures implementation costs
  27. 2018Screen listed futures by liquidity, open interest, and margin
  28. 2018Contract selection is the first filter on competing bitcoin futures
  29. 2018Filter futures execution by liquidity and margin
  30. 2018Commission analysis for brokerage execution costs
  31. 2019Ranking futures liquidity before you size the order
  32. 2020Brokerage selection as an implementation-cost problem
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