1993issue C071-6
Mining-bullion relative strength as a gold-sleeve regime
Gold-oriented funds typically concentrate a gold-sleeve in mining-company shares rather than bullion. This archive article follows the weekly mining-bullion-ratio as a relative-strength-index and shows how those prints were binned on a 52-week analog board.
- A gold-sleeve typically concentrates assets in mining-company shares, so the valuation of those shares versus bullion is the relevant intermarket context.
- Each week the relative-strength-index is the mining-bullion-ratio: the latest gold-mining share index divided by the latest bullion price.
- Historical-analog-comparison bins those weekly prints and records what the mining index did over a fixed 52-week look-ahead.
- The evaluation states that continued usefulness is not guaranteed and that the published bullish and bearish cutoff values are not uniquely privileged.
The gold-sleeve sits in mining shares
Gold-oriented mutual funds typically concentrate assets in mining-company shares rather than bullion. For a gold-sleeve, the relevant intermarket context is therefore the valuation of those shares versus the metal.
The weekly mining-bullion-ratio
Each week a relative-strength reading is formed by dividing the latest gold-mining share index by the latest bullion price. That mining-bullion-ratio is the score attached to the sleeve.
A ratio at or below 1.45 was treated as slight undervaluation of mining shares versus bullion and marks the undervalued-band, with a deeper band at or below 1.20. A ratio at or above 1.91 was treated as slight overvaluation of mining shares versus bullion and marks the overvalued-band, with an extreme band at or above 2.15.
A 52-week analog board
Weekly ratio readings from the mid-1970s onward were binned and scored against the mining index 52 weeks later. Low bins were more often followed by higher index levels. High bins were more often followed by lower index levels.
Archive episodes
The evaluation lists three episodes since 1975 in which the ratio reached 1.20 or lower. In each case the mining index stood more than 100 percent higher 12 months later.
On 18 June 1982 the mining index at 344.46 and bullion at 308.75 produced a ratio of 1.12. By 14 January 1983 the index was 1050.78 and bullion was 483, for a ratio of 2.17, after which the mining index declined 31 percent over the next 52 weeks.
A January 1990 ratio of 2.25 preceded a mining-index peak of 1021.87 and a 38 percent decline to 660.33 by June 1992. A still-elevated 1.86 reading then preceded an additional 25 percent decline.
A mid-January 1993 ratio of 1.42 sat below the 1.45 line. The analog table associated more than 80 percent of sub-1.45 readings with a higher mining index one year later. After that print the index rose 45 percent in under three months while the ratio itself climbed to 2.02.
Stated limits
The same evaluation states that continued usefulness is not guaranteed and that the published bullish and bearish cutoff values are not uniquely privileged.
All readings on this track · 19 readings
- 1988Crash fear fails the depression regime test
- 1990October 1987 cycle overlay and the loss-trap
- 1990Constructing nested four-year market cycles
- 1991Evaluating quarterly return runs with historical analogs
- 1992Evaluating split events across correction and bear regimes
- 1993Mining-bullion relative strength as a gold-sleeve regime
- 1994A two-horizon case study of a market-breadth oscillator
- 1994Extreme short-rate declines as equity regime context
- 1997Clustered true-range days as a regime label rather than a top forecast
- 2001Nearest-neighbor one-week forecast from log-price patterns
- 2001Constructing nearest-neighbor forecasts gated by a trend filter
- 2003Regime context for debt-era bear rallies
- 2004Testing a 1987 stock and gold analog by wave degree
- 2004Shifting calendar regimes and election-cycle analogs
- 2006Aligning sugar boom phases with seasonal analogs
- 2009Crowd consensus and failed targets as regime context
- 2011Treat a long-horizon chart analog as a regime scenario
- 2012Build a weekly analog as a dated forecast object
- 2015From a drawn price shape to an event-cloud case study