Global liquidity, loosely defined as the total amount of money available in the financial system, is the tide that lifts or sinks most boats. The primary drivers of global liquidity are central bank balance sheets, and tracking them provides a macro signal that has been remarkably correlated with risk asset performance across multiple cycles.
The five central banks that matter most for global liquidity are the Federal Reserve, the European Central Bank, the Bank of Japan, the People's Bank of China, and the Bank of England. Their combined balance sheet total represents the bulk of global base money creation. When the aggregate is expanding, liquidity conditions are easing. When it is contracting, they are tightening.
The correlation between aggregate central bank balance sheets and Bitcoin has been particularly strong. The major crypto bull runs of 2017,2020-2021, and late 2023 all coincided with periods of central bank balance sheet expansion. The crypto bear markets of 2018 and 2022 coincided with contraction or stagnation. The relationship is not perfect and includes variable lags, but the directional alignment has been consistent.
Monitoring each central bank individually adds nuance. The Fed's balance sheet changes are the most impactful for dollar-denominated assets because of the dollar's reserve currency status. The PBOC's liquidity injections (often done through medium-term lending facilities and reserve requirement ratio cuts rather than outright QE) affect emerging market and commodity flows. The BOJ's operations influence the yen carry trade, which has ripple effects across global risk assets.
Beyond balance sheets, other liquidity measures add information. The Fed's reverse repo facility (RRP) drains liquidity when it grows and adds liquidity when it shrinks. The Treasury General Account (TGA) has similar effects: when the Treasury builds its cash balance, it drains liquidity from the banking system, and when it spends down the balance, liquidity is released. These technical factors can be as impactful as explicit policy changes in the short term.
Building a global liquidity scorecard involves tracking the direction and rate of change of each central bank's balance sheet, the level of the RRP and TGA, and the aggregate trend. Scoring each component as expansionary, neutral, or contractionary and summing the scores gives you a composite reading that captures the net liquidity environment.
The lead time between liquidity changes and asset price responses varies. Some channels are fast (RRP changes can affect markets within days) while others are slow (the full effect of a Fed balance sheet reduction takes months to propagate through the financial system). Using a combination of fast and slow liquidity measures helps capture both the immediate and the lagging effects.
One practical consideration: central bank data release schedules differ. The Fed reports weekly, the ECB monthly, the BOJ less frequently. This means the composite updates are not synchronized, and some components may be more current than others. Weighting recent data more heavily or flagging when a component is stale helps maintain the accuracy of the composite signal.