Skip to main content
Track Correlation analysis
18 / 37
Library

2005issue C041-2

A late EUR/USD fifth wave tested by the Bund-Treasury gap

This archive lesson treats a late EUR/USD advance as a regime test. The 10-year Bund-Treasury yield differential is used to confirm or question an Elliott fifth-wave count, so the impulse is judged against capital-flow context rather than as a standalone chart pattern.

  • Capital flow was treated as the main long-horizon driver of currency rates, even though it was 4.6% of daily turnover beside 93.7% speculative transactions and 2.1% goods-and-services flow.
  • The 10-year Bund-Treasury yield differential was used as a leading relative-return input for EUR/USD, with a 12-month lead-adjusted series reported as 94% correlated with the dollar-Deutschemark rate and 73% correlated with EUR/USD after the euro.
  • From the November 2000 low, an Elliott count labeled the advance after the May 2004 wave 4 as a possible fifth wave, the phase described as most associated with speculative participation.
  • By 3 December 2004 the yield differential had fallen to -0.57% while EUR/USD had been rising since 4 September, which was treated as a lack of yield-gap support for that late rally.
Entries in this reading3 entries

A chart impulse still needs a regime

A currency impulse can look orderly on a price chart and still sit against the capital-flow backdrop that this workflow used as context. The archive kept an Elliott count on EUR/USD, then asked whether the 10-year German Bund versus 10-year US Treasury yield differential still favored that count.

The point of the pairing is not to decorate a wave label with another market. It is to decide whether a single EUR/USD advance is still inside a supportive relative-return regime, or whether the chart is running ahead of the yield gap that was treated as the leading intermarket input.

Turnover mix and the long-horizon driver

In the supplied market-structure snapshot, speculative transactions were 93.7% of daily currency turnover, capital-flow-related transactions 4.6%, and goods-and-services-related transactions 2.1%. Capital flow was still treated as the dominant long-horizon fundamental driver of currency rates.

Trade flow was given limited influence because a large share of global trade is invoiced in dollars. In that framing, the smaller capital-flow share of turnover is not a reason to ignore it. It is the channel through which cross-border investment seeks the higher relative return.

The Bund-Treasury gap as a capital-flow input

The 10-year German Bund versus 10-year US Treasury yield differential was presented as a leading intermarket input for EUR/USD. The premise was that capital gravitates toward the relatively higher-yielding government-bond market.

Used this way, the gap is a relative-return signal, not a second price chart of the same pair. A firmer Bund-side advantage was treated as support for the euro. A move toward Treasury advantage was treated as a reason to question euro strength.

When the gap and the rate moved together, and when they did not

From July 1995 to June 1999 the Bund-Treasury differential moved from 62 basis points in favor of the Bund to minus 159 basis points, while EUR/USD declined from 1.4171 to 1.0535. After June 1999 the yield gap improved from -1.59% to -0.507% by November 2000, but EUR/USD continued to a low of 0.8378, a lag of about 16 months before the pair turned higher.

From November 2000 to November 2002 the two series rose together: the yield differential from -0.507% to +0.608% and EUR/USD from 0.8378 to 1.0098. The joint rise is the easy case. The earlier lag is the harder one: an improving gap did not produce an immediate turn in the exchange rate.

A lead-adjusted reading of the same spread

A 12-month lead-adjusted Bund-Treasury differential was reported as 94% correlated with the dollar-Deutschemark rate before euro introduction and 73% correlated with EUR/USD afterward. The looser fit was attributed to the euro representing many countries rather than Germany alone.

That lead-adjusted spread is how the archive inspected historical alignment. It does not remove the lag after June 1999, and it does not make the German Bund a complete stand-in for every euro-area borrower. It does explain why the same gap was still used as context after the euro replaced the mark.

The Elliott count from the 2000 low

An Elliott wave count on EUR/USD placed wave 1 from 0.8378 in November 2000 to about 0.9516 in January 2001, wave 2 near 0.8708 in February 2002 or alternatively 0.8473 in July 2001, wave 3 near 1.2818 in January 2004, and wave 4 near 1.1887 in May 2004. The subsequent advance was labeled a possible fifth wave of the rally from the 2000 low.

That Elliott fifth wave was described as the most speculative phase. The label matters here because the turnover snapshot already assigned most daily currency activity to speculative transactions. A late-stage impulse is exactly where a standalone chart count is easiest to over-trust.

Late-2004 divergence against a possible fifth wave

By 3 December 2004 the yield differential had fallen from about -0.05% on 17 October 2004 to -0.57%, while EUR/USD had risen since 4 September. That stretch was treated as a lack of yield-gap support for the euro.

This is intermarket divergence in the sense used here: the exchange rate moved opposite the direction implied by the yield gap. The fifth-wave label was then used to interpret the late-2004 EUR/USD rally against the deteriorating Bund-Treasury spread. Price was still advancing. The capital-flow input was not.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
18 of 37 in the Correlation analysis track
20061-1 pp.Next on Correlation analysisIntermarket dislocation as context for short-horizon momentumThe historical process paired a ratio-model of index and stock relationships with a momentum-model that measured how strong a move had become.
All readings on this track · 37 readings
  1. 1988Constructing a lead-aware correlation coefficient
  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
  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
All 52 readings tagged Correlation analysis
Also on Correlation analysis5 readings