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1991issue C121-7

Constructing a commodity-bond correlation regime filter

A two-speed construction keeps a multi-year commodity-to-bond correlation as the portfolio backdrop and treats a one-quarter sign flip as a cue that the usual inflation-and-rates pairing has broken. The single bond contract is then read against the commodity basket rather than in isolation.

  • Use a broad commodity basket as the commodity-inflation proxy and continuous bond futures as the price-only proxy so the comparison isolates price movement.
  • Keep a two-year long-window correlation as the intermarket backdrop; that coefficient stayed below -0.5 for most of an eight-year span.
  • Treat a one-quarter short-window reading above +0.55 as a regime breakdown and a return to -0.50 as restoration of the longer-run association.
  • Prefer the single bond contract over a long-bond, short-commodity spread, and read short-window sign flips as regime context rather than as a standalone interest-rate forecast.
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Current trackCorrelation analysis52 readingsIntermarket analysis136 readings

Two proxies, one comparison

A 21-contract commodity index weighted about 62 percent toward agricultural markets was used as a commodity-inflation proxy when it was compared with the bond market. Continuous bond futures served as a price-only proxy instead of a total-return series so the comparison isolated correlations of price movement. Weekly closes of the commodity index and bond futures showed an inverse pattern most of the time.

The long-window backdrop

A two-year rolling correlation between the commodity index and bond futures is the long-window correlation in this construction. It stayed below -0.5 for most of an eight-year span, a level at which about 25 percent of bond-price variation is associated with the commodity series. The same rolling-correlation design applied to currencies versus bonds and to a broad equity index versus bonds did not produce as statistically distinctive a relationship.

The short-window construction cue

A 63-day rolling correlation, computed from daily data and plotted weekly, is the short-window correlation. It varied widely over short spans and only infrequently moved into positive territory. The constructed filter treated a one-quarter correlation above +0.55 as a regime breakdown from the usual inverse pairing and treated a return to -0.50 as restoration of the longer-run association.

Reading one bond against the basket

An alternative expression of the same view was a spread that is long bond futures and short the commodity index. The stated preference was for the single bond contract because the other leg was a 21-market basket. The commodity series was treated as a value backdrop for bonds, and short-window sign flips accompanied by cautious sentiment readings were framed as an intermarket backdrop: a regime context rather than a standalone interest-rate forecast.

What the coefficient measures

The correlation coefficient r ranges from +1 to -1. It describes linear association only and is not a measure of cause and effect.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
7 of 37 in the Correlation analysis track
19921-2 pp.Next on Correlation analysisBuilding intermarket context with linear correlationThe archive presents the correlation-coefficient as a bounded index of how tightly two series move together on a straight-line basis, from perfect inverse alignment through no linear alignment to perfect positive alignment.
All readings on this track · 37 readings
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  2. 1989A precious-metal price as a changing intermarket equation
  3. 1990Two clocks for copper: a factor regime, a regression baseline, and leftover moving-average timing
  4. 1990Earnings yield, rate correlation and regression for equity value
  5. 1991Name the window, then combine leaders
  6. 1991Constructing a two-market linear correlation check
  7. 1991Constructing a commodity-bond correlation regime filter
  8. 1992Building intermarket context with linear correlation
  9. 1993Inverse-scale overlays as a gold-equity regime filter
  10. 1994Constructing seasonal slots from windows, analog years, and implied volatility
  11. 1995Pin one reference close and roll companion correlations as an overlay
  12. 1995Rolling correlation windows for shifting intermarket regimes
  13. 1998Gold as a cross-market regime barometer
  14. 1999The gold-bond inverse is a regime, not a cause
  15. 1999A nested lag test of gold leading bond yields
  16. 1999Constructing spreads from stock and intermarket correlation
  17. 2000Evaluating headline versus food-and-energy-excluded CPI as bond-yield context
  18. 2005A late EUR/USD fifth wave tested by the Bund-Treasury gap
  19. 2006Intermarket dislocation as context for short-horizon momentum
  20. 2008Map ordinary 12-month outcomes before stacking valuation, rates, and seasonality
  21. 2008A clean-energy theme inside the oil-and-energy regime
  22. 2014Quantitative-easing overlays as fragile belief regimes
  23. 2015Three intermarket checks from the late-2014 crude decline
  24. 2015Basket construction via rank, correlation, and locked rules
  25. 2015Construct a CAD-oil pair from percent-of-range Bollinger maps
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  27. 2017Correlation regime versus moving-average crossover for S&P 500 exposure
  28. 2017Updating intermarket systems after correlation shifts
  29. 2017Constructing a correlation-divergence regime filter for yen and Nikkei context
  30. 2018Clustered negative troughs in an energy-index pairwise correlation
  31. 2018Filter pairwise-correlation before reading an intermarket regime
  32. 2018Moving-average supports in the March 2018 correlation shock
  33. 2020Bond spreads as an equity regime lens
  34. 2020Crash-protection folklore as a correlation regime question
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By fieldIntermarket and spreads148 readingsBy year199198 readings
All 52 readings tagged Correlation analysis
Also on Correlation analysis5 readings
1989A precious-metal price as a changing intermarket equation1990Earnings yield, rate correlation and regression for equity value1992Real bond yields as a deficit-share regime1993Inverse-scale overlays as a gold-equity regime filter1995Rolling correlation windows for shifting intermarket regimes