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2015issue C1212-18

CAD/USD and crude: first the correlation, then the band gap

From the start of 2005 through early September 2015, CAD priced in US dollars tracked continuous WTI crude with a Pearson correlation of 0.81. This archive article treats that commodity-currency as a two-market spread: measure the usual link, compare bollinger-band-position, and accept intermarket-divergence only while a correlation-filter still holds.

  • In 2014, oil led Canadian merchandise exports at US$128.9 billion, or 27.2 percent of the total, which is why CAD/USD can be studied as a commodity-currency spread against crude rather than as a standalone rate.
  • From the start of 2005 through early September 2015, CAD/USD and continuous WTI crude showed a Pearson correlation of 0.81 and a coefficient-of-determination of about 0.65, with the linear fit breaking down at extreme oil and currency levels.
  • The published rules compared 20-day bollinger-band-position on CAD and front-month crude, and accepted intermarket-divergence only when a 20-day correlation-filter was not worse than -0.4.
  • The same rules exited or covered when MACD and a 30,3 stochastic agreed, when a three-bar band extreme met a sharp three-day crude rate of change, or when a 15-bar breakout arrived while 60-day correlation had fallen below -0.4.
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A commodity-currency, not a standalone rate

Canadian merchandise trade in 2014 was led by oil at US$128.9 billion, or 27.2 percent of total exports, far ahead of vehicles at 12.6 percent. That export mix is why CAD priced in US dollars can be studied as a commodity-currency: an exchange rate tightly linked to a major export commodity, and therefore as a two-market spread rather than as a standalone rate.

How tightly CAD tracked crude

Over a sample running from the start of 2005 through early September 2015, the Pearson correlation between CAD priced in US dollars and continuous WTI crude futures was 0.81. A 10-year scatter through September 2015 produced a coefficient-of-determination of about 0.65 and a slope of 0.003, so a one-dollar move in crude corresponded to roughly 0.3 cents in CAD/USD.

In the same 10-year correlation table, CAD/USD showed a 0.83 link with NOK/USD, a 0.76 link with the Philadelphia Gold & Silver Sector Index, and only a 0.43 link with the iShares S&P GSCI Commodity Indexed Trust.

Where the linear fit broke down

The 10-year scatter fit broke down above about $115 and below about $35 oil and above about 1.05 in CAD/USD. Those edges sit outside the region where a single slope described the usual CAD-crude relationship.

Weekly leads around the 2008 extremes

On a weekly overlay, CAD/USD peaked in November 2007, nearly eight months before crude's July 2008 high near $145, and bottomed on 24 October 2008, almost two months before crude's crisis low near $33. The pair and the commodity did not always turn in the same week.

Comparing bollinger-band-position

The published rules compare 20-day bollinger-band-position on CAD and on front-month crude. Bollinger-band-position is a scaled reading of where price sits between the lower and upper volatility bands over a fixed lookback, used so two markets can be compared on a common scale. Intermarket-divergence is then a temporary gap between the usual co-movement of those related markets, read by comparing each market's position inside its own volatility bands.

Archive entry filters

The published rules require a three-bar divergence reading beyond 20 percent that is already reversing, a two-day rate-of-change filter on CAD, a 40-day crude moving-average tilt, and a 20-day correlation not worse than -0.4. That last condition is the correlation-filter: a rolling Pearson measure that confirms the two markets are still moving together before a divergence reading is accepted.

Archive exits and covers

The same code exits or covers when MACD and a 30,3 stochastic agree, when a three-bar band-divergence extreme coincides with a sharp three-day crude rate of change, or when a 15-bar breakout arrives while 60-day correlation has fallen below -0.4.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
26 of 37 in the Correlation analysis track
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  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
  26. 2015CAD/USD and crude: first the correlation, then the band gap
  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
  35. 2020Constructing a bounded correlation-trend-filter
  36. 2020Constructing a correlation-to-line trend filter
  37. 2020Bitcoin correlation regimes across equities and gold
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