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2018issue C0756

One-year volatility as the backdrop for short-horizon option trades

A constant one-year implied-volatility reading was built from S&P 500 option prices so the familiar 30-day print could be judged against a weeks-to-months market state, not against the next monthly expiry alone.

  • Treat a short-dated index or options position as a regime choice by reading 30-day implied volatility against a constant one-year backdrop.
  • The year-scale series used March-cycle S&P 500 options nearest a 366-day maturity and weighted them so the horizon stayed roughly fixed.
  • The gap between one-month and one-year expected volatility is the term structure that describes a calm or stressed multi-month market regime.
  • Insurers, pension funds, and other holders of longer-duration liabilities were named as users who might need that longer-horizon view.
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Read the short tenor against a year-scale backdrop

The older 30-day expected-volatility series, first published in April 1993, remained the short-horizon implied-volatility benchmark. Implied volatility, in this pairing, is the option-implied forecast of future index variation, observed at both a 30-day tenor and a one-year tenor.

A one-year volatility index was introduced so one-month expected volatility could be watched against one-year expected volatility instead of reading the short tenor in isolation. The year-scale constant reading was framed as a monitor of longer-term volatility expectations, matching a weeks-to-months planning horizon rather than a single monthly expiry.

How the constant one-year reading was built

A one-year volatility index was calculated from real-time S&P 500 option prices to produce a continuously updated estimate of one-year implied volatility. The calculation used March-cycle S&P 500 options closest to a 366-day maturity and weighted those contracts to hold a roughly constant one-year horizon.

That weighting is constant maturity: nearby option expiries are combined so the measured horizon stays near a fixed length, here about 366 days, instead of shrinking as listed contracts roll off.

The gap that describes the market regime

The gap between one-month and one-year expected volatility is the volatility term structure. It is used to tell whether a near-term trade sits in a calm or stressed multi-month regime. A market regime, here, is that weeks-to-months market state described by how short-tenor and year-tenor volatility sit relative to each other.

As an editorial interpretation, not an archive label, the year-scale reading is used as historical volatility: a year-scale, multi-month volatility reading against which the short-dated implied print is judged. The archive itself presents that reading as one-year implied volatility taken from option prices.

Who the longer horizon was for

Institutions with longer-duration liabilities, including insurers and pension funds, were named as users who might need that longer-horizon volatility view. A longer-duration liability is a funding or insurance obligation that lasts well beyond a month, which makes a one-year volatility gauge more relevant than a 30-day print.

A futures contract on the one-year volatility index was under exploration and would have required regulatory review before listing.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
30 of 31 in the Historical volatility analysis track
201926-30 pp.Next on Historical volatility analysisA low-volatility ETF sleeve inside a 2011 to 2019 market-regime case studyFrom 2011 through 2019 a U.S. minimum-volatility sleeve gained 172.3% against 179.4% for a broad S&P 500 proxy, so the quieter sleeve nearly kept pace through a long bull stretch.
All readings on this track · 31 readings
  1. 1985Putting listed option premiums in volatility-regime context
  2. 1988When volatility, not direction, selects the option spread
  3. 1988Path-aware volatility for option-replication cost
  4. 1989Option premium inside a volatility regime
  5. 1990Constructing consistent historical and implied volatility
  6. 1991Weekly close-to-close volatility as a horizon filter
  7. 1995A modified volatility construction for weeks-to-months regimes
  8. 1996Option smiles as a critique of constant volatility
  9. 1996Pairing short and long historical volatility for regime context
  10. 1998Normalized multi-horizon historical volatility construction
  11. 2001Park one options idea inside an implied and historical volatility regime
  12. 2002Constructing vertical spreads inside seasonal volatility regimes
  13. 2002Volatility regime context for option straddles
  14. 2003Option spread construction with volatility regime checks
  15. 2003Trend and volatility filters for option spread choice
  16. 2005Constructing vertical spreads inside volatility regimes
  17. 2006Implied volatility doubling as a commodity regime signal
  18. 2007A butterfly reversal call when implied volatility sits near historical volatility
  19. 2012Evaluate a broken-wing butterfly inside a volatility and premium regime
  20. 2012Regime-aware equity construction via carry and risk premium
  21. 2012True range overlays versus isolated bar context
  22. 2012Constructing regime context for option premium trades
  23. 2013Construct a ranked volatility switch before the trend filter fires
  24. 2013Combining Relative Strength Index, historical volatility, and Bollinger %b screens
  25. 2014A headline equity high is incomplete until the nominal-real spread is read
  26. 2015Daily implied volatility skew as a portfolio benchmark
  27. 2015Rebuild a volatility-skew template from size and slope
  28. 2015Evaluating concentrated winners with volatility and option premiums
  29. 2017Option book construction from implied volatility, historical volatility and premium
  30. 2018One-year volatility as the backdrop for short-horizon option trades
  31. 2019A low-volatility ETF sleeve inside a 2011 to 2019 market-regime case study
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