In the previous piece titled "Are Gold Price Deviations Predictable?", the cyclical positioning framework introduced a four-factor cointegration relationship. These four factors—deviation, liquidity, macro direction, and sentiment amplification—all passed cointegration tests across gold, silver, copper, and the S&P 500, yielding the equation D-2.13L+0.89M+0.56E=-0.15. One reader raised an excellent question: even if this cointegration relationship holds, why should we trust it isn't merely a statistical coincidence? This is akin to observing two people walking in perfect sync—statistics can confirm the phenomenon, but it cannot explain why they move together. They might be listening to the same song, or perhaps walking the same path. Which scenario applies to gold price deviations? This is precisely the question that subsequent research within the cyclical positioning framework aims to answer.

A cointegration relationship demands a mechanism to explain it

Cointegration testing only demonstrates that "a long-term equilibrium exists among the four factors," but it does not reveal "why this equilibrium exists." The mechanism proposed by this framework is that the root of the cointegration lies in the structural constraint that the credit cycle imposes on market behavior.

How the credit cycle influences deviations

The credit cycle refers to the alternation between credit expansion and contraction. During periods of credit expansion, credit supply is ample, liquidity is abundant, and risk appetite rises—strengthening the momentum for asset prices to drift away from equilibrium. In this phase, the deviation factor (D) increases, the macro direction factor (M) turns stronger, and assets such as gold, silver, copper, and equities tend to move in tandem. Conversely, during credit contraction, credit supply tightens, liquidity dries up, and risk appetite declines—intensifying the pressure for prices to revert to equilibrium. In this phase, deviation (D) decreases, sentiment amplification (E) spikes, and measures like the VIX and the TED spread climb higher. These four factors do not operate independently; they are all driven by a single force—the credit cycle. This is why the cointegration relationship remains stable over the long term: it is not a coincidence that the four factors move in sync, but rather that they are propelled by the same macroeconomic mechanism.

Liquidity sets the boundaries for deviation

The credit cycle dictates the direction of deviation, while liquidity defines its boundaries. The looser the liquidity conditions, the lower real interest rates fall, reducing the opportunity cost of holding gold and expanding the scope for deviation. Conversely, tighter liquidity pushes real interest rates higher, raising the opportunity cost and tightening the constraints on deviation. This explains why the liquidity factor (L) carries a negative weight in the cointegration equation (-2.13)—rising real interest rates exert a suppressive effect on deviation. It also explains why, during periods of extremely loose liquidity, gold can achieve deviations far exceeding its equilibrium level.

The divergence in global credit structures

The credit cycle is not unique to a single economy. The combined credit expansion and contraction across major global economies forms the macroeconomic foundation driving gold deviations. After 2023, global credit expansion began to show signs of slowing—with credit gaps in some economies narrowing, creating a periodic divergence from elevated gold deviation levels. This divergence suggests that structural factors, such as central bank gold purchases, are partially replacing the traditional role of the credit cycle in driving gold prices. This fragmentation also clarifies why the traditional pricing framework centered on dollar liquidity has experienced periodic failures since 2022. Gold's pricing logic is transitioning from being a "mirror of interest rates" to "a hedge against credit"—meaning future gold pricing will depend more on shifts in the global credit system rather than policy adjustments by any single credit issuer.

Conclusion

If this mechanism holds, then gold price deviations are not random walks but rather systematic movements constrained jointly by the credit cycle and liquidity. The cointegration equation describes the long-term equilibrium relationship among the four factors. Tests on the error correction term indicate that when short-term deviations from equilibrium occur, the system reverts to equilibrium at an annualized rate of approximately 12%. This implies that deviation itself is structured, governed by the four factors, rather than random. This hypothesis has received empirical support across all four assets—gold, silver, copper, and the S&P 500. The consistency in the direction of cointegration across these four assets validates the cross-asset stability of the relationship. Gold price deviations are not random; in most cases, they are driven jointly by the credit cycle and liquidity. Understanding this point may be more valuable than predicting the next candlestick.