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2012issue C0118-25

Out-of-the-money versus in-the-money option sensitivity to implied volatility

Directional option construction is taught here as a three-layer filter: map how an underlying trend hits call versus put prices by moneyness, overlay the typical inverse index-to-implied-volatility link, then scale that overlay with percent-vega.

  • In percentage terms, an upward move lifts all call prices and a downward move lifts all put prices, with a larger effect on out-of-the-money options than on in-the-money options.
  • A correct directional call can still lose on out-of-the-money options because a held trend also exposes the position to implied-volatility change and to time passage.
  • On broad stock-market indexes, implied volatility typically rises when the index falls and falls when the index advances, and that inverse pattern is not presented as a rule for single-stock options.
  • Calls and puts share the same vega at a given strike, but percent-vega is much larger for out-of-the-money options than for in-the-money options, so the implied-volatility overlay is scaled most at the out-of-the-money end.
Entries in this reading3 entries

A three-layer filter for directional construction

TradersWeek editorial construction treats a directional option purchase as a three-layer filter rather than a single chart call.

MACD is used as a repeatable chart condition that turns a directional market hypothesis into a falsifiable long-call or long-put setup. The later result still has to survive implied-volatility and time-decay filters.

The second layer overlays the typical inverse link between a broad stock-market index and implied volatility. The third layer scales that overlay with percent-vega so the same implied-volatility change can be compared across out-of-the-money and in-the-money prices.

How an underlying move hits calls and puts

In percentage terms, an upward move in the underlying lifts all call prices, with a larger effect on out-of-the-money calls than on in-the-money calls.

In percentage terms, a downward move in the underlying lifts all put prices, with a larger effect on out-of-the-money puts than on in-the-money puts.

At-the-money options sit between those two extremes and are described as more balanced in their percentage response to a momentary underlying move.

The implied-volatility overlay on indexes

On broad stock-market indexes, implied volatility typically rises when the index falls and falls when the index advances, even though a direct theoretical link is not required.

That inverse index-to-implied-volatility pattern is not presented as a rule for single-stock options, where elevated implied volatility often reflects pending unsystematic news.

Exponential smoothing is the quantitative baseline that treats implied volatility as an ordered series so an index move can be compared with a subsequent volatility update rather than assumed to be independent.

The relative strength index is a lookback oscillator used as an explicit quantitative baseline for overbought or oversold index conditions before judging whether a matching option purchase actually benefited from the implied-volatility overlay.

How percent-vega scales that overlay

Vega is the dollar change in an option price when implied volatility rises by 0.01, or one percentage point. Percent-vega is that vega divided by the option price, so a 2-dollar vega on a 40-dollar option is 0.05.

Calls and puts share the same vega at a given strike, but their percent-vega differs, and out-of-the-money options show much larger percent-vega than in-the-money options.

In an uptrend, falling implied volatility hurts long calls, and percent-vega magnifies that damage most for out-of-the-money calls and least for in-the-money calls.

In a downtrend, rising implied volatility helps long puts, and percent-vega magnifies that help most for out-of-the-money puts and least for in-the-money puts.

Why an out-of-the-money long can still fail

A correct directional call can still lose on out-of-the-money options because a held trend exposes the position to implied-volatility change and to time passage, not only to the instantaneous underlying move.

Time passage is the second non-momentary drag on a held option, distinct from implied-volatility change, because trends last long enough for time decay to act.

TradersWeek editorial reading: an out-of-the-money long often fails the third filter even when the first-layer direction call was right, because percent-vega makes the implied-volatility overlay large relative to the option price.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
60 of 80 in the MACD track
201278-81 pp.Next on MACDMACD window tuning as hold-time controlThe usual MACD series is the gap between a 12-period exponential average of the close and a 26-period exponential average of the close, compared with a 9-period signal-line.
All readings on this track · 80 readings
  1. 1988Rebuild MACD-Mo and MACD-H before treating them as signals
  2. 1989Four-span MACD lookbacks as perishable parameters
  3. 1989Weekly then daily MACD confirmation on individual stocks
  4. 1991Regime-gated MACD and stochastic rules inside a checklist
  5. 1991Constructing MACD signal lines and divergence tests
  6. 1991MACD parameter order and cycle phase lag
  7. 1992Lengthened bond MACD as an equity regime filter
  8. 1992Long-horizon MACD construction from paired exponential averages
  9. 1993Constructing a signed ten-point trend filter
  10. 1994Constructing lag-reduced double exponential averages for MACD
  11. 1994Seeding DEMA2 filters to build a MACD signal
  12. 1994Constructing MACD from lag-reduced exponential averages
  13. 1994TEMA1 from nested exponential averages, then a two-horizon MACD
  14. 1994Constructing entry and exit on a relative-strength MACD
  15. 1994Constructing a relative-strength MACD crossover spreadsheet
  16. 1995Consensus presignal filters for Relative Strength Index, MACD and the Stochastic oscillator
  17. 1997Confirm the MACD turn with price, then exit on the histogram
  18. 1997Reconstructing a stochastic oscillator, MACD, and a triple-smoothed oscillator
  19. 1997Moving-average windows before crossovers and MACD
  20. 1999Second-stage MACD on relative-strength inputs
  21. 1999Constructing MACD from exponential-average spreads for crossover and divergence
  22. 1999Coding candlesticks into numeric indicators
  23. 2001Second-low confirmation with a percentage oscillator and money-flow filter
  24. 2001Constructing MACD from exponential average spreads and a signal line
  25. 2002Separate bounded and trend-following oscillator rules
  26. 2002Sort the regime before assigning MACD and stochastic jobs
  27. 2002Building classic divergence filters from RSI and MACD
  28. 2002Weekly highs and lows as trend gates
  29. 2002Constructing channel-normalized Fisher reversal signals
  30. 2002Affine-price and the Fisher transform as a constructed companion to MACD
  31. 2003Regularized EMA construction with a MACD line and a thrust oscillator
  32. 2003Curvature-penalized exponential averages versus MACD
  33. 2003MACD, moving averages, and a trend filter as one timing system
  34. 2003Fractional MACD and linear-regression reversal construction
  35. 2004Weekly MACD-histogram timing of bear-market rallies
  36. 2004Candlestick triggers filtered by MACD divergence
  37. 2004Staging energy-complex tops with trendline, breakout, and MACD
  38. 2005Selling climax holds versus fails
  39. 2006Treat a sideways Wave as permission before a breakout
  40. 2007MACD with a Stochastic oscillator for spotting trend reversals
  41. 2007Rebuilding an S&P 500 fifth-wave count after a broken target
  42. 2007Constructing MACD, RSI, and stochastic confirmation for futures
  43. 2007MACD histogram divergence needs a confirming close
  44. 2007Write the plan as a stack: ratio, boundary, then oscillators
  45. 2008MACD divergence and Stochastic oscillator confirmation on lumber futures
  46. 2008Assign confirmation, timing, and a stop before a currency pair is tested
  47. 2008Confirm the ten-bagger launch path before the MACD exit
  48. 2008Reading the offloaded evidence file
  49. 2008A Leader companion for MACD direction warnings
  50. 2008Relative strength exits with MACD averages and RSI
  51. 2008Assign one job per indicator in a three-screens rule set
  52. 2008Sequencing RSI, MACD, and average crossovers
  53. 2010Constructing the Schaff Trend Cycle from MACD and a dominant-cycle window
  54. 2010Schaff Trend Cycle as a MACD and Stochastic oscillator combination
  55. 2010Combining Relative Strength Index, the stochastic oscillator, and MACD as slope filters
  56. 2010Short-term wave and ratio clues without direction calls
  57. 2010A precise pullback entry and an unplanned profit-protection exit
  58. 2010Filtering MACD false signals with trendline breaks
  59. 2011Vendor feeds as an input variable in a MACD evaluation
  60. 2012Out-of-the-money versus in-the-money option sensitivity to implied volatility
  61. 2012MACD window tuning as hold-time control
  62. 2012Combining a moving-average crossover with MACD and support-resistance
  63. 2012Testing a published MACD entry with a histogram and signal-line agreement filter
  64. 2012Treat sample systems as a lab before live rules
  65. 2013Constructing moving averages and MACD from one price series
  66. 2013The next-bar price that forces a MACD signal-line cross
  67. 2013Constructing next-bar MACD reversal prices
  68. 2013Constructing inverted MACD reversal prices
  69. 2014Shared-filter combinations of the stochastic oscillator, MACD, and RSI
  70. 2014Square-root lookbacks for combined MACD and RSI
  71. 2015Audit open interest and trend before trusting oscillator crossovers
  72. 2016MACD without a signal line, confirmed by moving-average trend filters
  73. 2016Use RSI, MACD, and a moving average as a market-health consensus
  74. 2016MACD line versus histogram is a display problem first
  75. 2017Weekly and daily MACD on a single daily chart
  76. 2017Weekly and daily MACD as a stacked momentum filter
  77. 2017Nested weekly and daily MACD from paired EMA spreads
  78. 2018Weekly and daily PPO scale versus MACD, with bounded RSI and stochastic readings
  79. 2018Constructing a weekly and daily percentage price oscillator
  80. 2020Constructing Wyckoff tape reading with MACD, moving-average, and RSI filters
All 115 readings tagged MACD
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