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2020issue C0518-23

A recession-regime checklist from valuation stretch and the yield curve

A 2020 case study stacks linear-regression-stretch, the buffett-indicator, yield-curve-inversion duration, and seasonality-analysis so one bullish tape is read as part of a market-regime rather than as the whole market state.

  • A more than 42 percent S&P 500 rise from the December 2018 lows into mid-January 2020 classifies a tape, not the market-regime by itself.
  • Linear-regression-stretch, the buffett-indicator, and a related output-linked ratio were still historically expensive in 2019 and early 2020 even after they eased from earlier peaks.
  • The 2019 yield-curve-inversion lasted slightly under five months, shorter than the inversions that preceded the early-2000s and 2007-2009 downturns, and duration belongs in the regime label.
  • Recession-lag means official dating can arrive a year or more later, so valuation stretch, curve duration, and seasonality-analysis are meant to be stacked before confirmation.
Entries in this reading3 entries
Market regime classification52 readingsCurrent trackSeasonality analysis65 readingsIntermarket analysis143 readings

A rally is not a regime

Between the December 2018 lows and mid-January 2020 the S&P 500 gained more than 42 percent even as tariff disputes, political risk, and weaker economic and earnings news accumulated. That tape can look like a completed recovery. It still leaves the market-regime unnamed.

Official recession dating often arrives a year or more after the fact. Recession-lag is the interval in which much of the portfolio damage can already occur. Tools that combine valuation stretch, yield-curve-inversion, and calendar context are meant to be used before that confirmation, not after.

As a TradersWeek editorial reading, a late-cycle rally is a classification problem. Stack linear-regression-stretch, the buffett-indicator, yield-curve-inversion duration, and seasonality-analysis so one bullish series does not stand in for the whole market state.

Valuation stretch as the first layer

By mid-January 2020 a broad US equity ETF sat more than 42 percent above its long-term linear regression line. That linear-regression-stretch was below the roughly 65 percent stretch seen at the March 2000 peak, and it was still historically extended.

A market-cap-to-output buffett-indicator stood at 167.5 in the third quarter of 2019, down from 176 a year earlier and below the 190 reading of 2000, yet still in historically expensive territory. An indexed Wilshire-to-GDP style ratio peaked at 142 in 2018 and eased only to 138 in 2019 when the 2000 peak was set to 100.

A cape multiple peaked at 43.5 in March 2000 and was less timely into the 2007-2008 episode. One valuation series can classify different cycles differently. Intermarket-analysis is the check: read the equity tape against the buffett-indicator, output-linked valuation, and the Treasury curve rather than treating the rally in isolation.

Yield-curve-inversion duration

The US 10-year minus 3-month Treasury curve inverted in March 2019 for the first time since July 2007 and stayed inverted for more than a quarter before normalizing on October 31, 2019. That 2019 yield-curve-inversion lasted slightly under five months, versus about ten months before the 2007-2009 downturn and six months before the early-2000s downturn.

Longer inversions have historically been associated with deeper subsequent contractions. As a TradersWeek editorial reading, duration is part of the regime label, including after the curve has already normalized.

Calendar overlay and recession-lag

Seasonality-analysis is a calendar-year and historically repeating-window overlay, not a standalone forecast. The approved case does not name a seasonal window that replaced the 2019 inversion or the early-2020 valuation stretch.

As a TradersWeek editorial reading, the historical workflow is a stack. Measure linear-regression-stretch and the buffett-indicator against prior cycle peaks. Record whether a yield-curve-inversion occurred and how long it lasted. Apply seasonality-analysis only as a timing overlay. The market-regime is that combination, used during recession-lag, rather than the latest equity close.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
39 of 41 in the Seasonality analysis track
202060-64 pp.Next on Seasonality analysisTreat a seasonal idea as a stay-or-sit holding procedureA written trading-plan makes seasonal-trading one stay-or-sit procedure: profit expectancies, loss parameters, entry and exit guidelines, position sizing, and strategy variants for the day's context.
All readings on this track · 41 readings
  1. 1989Evaluating venue volume as a speculation-breadth signal
  2. 1991A thirty-name price-weighted average as a seasonal regime classroom
  3. 1991Ranked half-year rate changes as an equity signal filter
  4. 1991Demographic wave as a market-regime overlay
  5. 1994Seasonal range regimes as a futures context overlay
  6. 1996Evaluating presidential party terms as equity regimes
  7. 1996A dominant cycle is a baseline, not a reprint
  8. 1996Seasonality and presidential election cycle regimes
  9. 1997Stacking calendar regimes around election years
  10. 1997Calendar seasonality as a testable trading procedure
  11. 1997Lunar phase delay as a testable seasonal regime
  12. 1998Seasonal system construction without curve-fitting
  13. 1999Crowd life cycle as a market regime map
  14. 2001Regime-dependent cycle timing after four-year and seasonal lows
  15. 2002A 2002 case study in regime-first seasonal selection
  16. 2002Seasonal windows and dominant-cycle rules
  17. 2002Fifty-four-year wholesale cycle as an inflation-deflation regime map
  18. 2004The championship conference rule as a yearly regime case study
  19. 2004Election-year seasonality as trade regime context
  20. 2006Two-ten inversion as an intermarket regime filter
  21. 2006Midterm-to-presidential seasonal holding window
  22. 2008Two-layer equity regimes from seasonality and price history
  23. 2008Seasonal futures as a regime filter, not a calendar rule
  24. 2008Retesting seasonal rules when regimes change
  25. 2010Corn and wheat staggered calendars as dollar-neutral seasonal spreads
  26. 2011Name the S&P 500 trend regime before using weekly and monthly seasonality
  27. 2012Seasonal windows that wait for confirmation
  28. 2013Pair-sleeve rotation as a two-state sector regime-switch
  29. 2013Lunar phase as a seasonal overlay on implied volatility
  30. 2013Soybean seasonal highs in a five-year carryover regime
  31. 2014Year-end tax-loss selling as a seasonal regime
  32. 2017Calendar-window overlays that mute mechanical signals without rewriting the system
  33. 2017A four-year cycle and volume case study of a secular bear
  34. 2017Treat the valuation climate as climate and implied-volatility extremes as weather
  35. 2019Seasonal depth versus tracking for futures position sizing
  36. 2019Stacking cycle forecasts with seasonal regimes
  37. 2019Hit-rate gates for seasonal regime evaluation
  38. 2019July to October as a seasonal window, not a reason to own the name
  39. 2020A recession-regime checklist from valuation stretch and the yield curve
  40. 2020Treat a seasonal idea as a stay-or-sit holding procedure
  41. 2020A single position as a sleeve on a seasonal regime map
By fieldSeasonality and regimes131 readingsBy year2020100 readings
All 65 readings tagged Seasonality analysis
Also on Seasonality analysis5 readings
2006Two-ten inversion as an intermarket regime filterMarket regime classification1991Demographic wave as a market-regime overlayMarket regime classification1994Seasonal range regimes as a futures context overlayMarket regime classification1996A dominant cycle is a baseline, not a reprintMarket regime classification1996Evaluating presidential party terms as equity regimesMarket regime classification