Bubble Valuation Signals
Use this file when: Assessing whether current asset valuations represent bubble conditions. Uses both historical ratio benchmarks and behavioral indicators.
Financial Assets / Total Assets Ratio
“USA financial assets as share of total assets: peaked at ~65% in 1929 stock market bubble and Dot-com bubble; fell to ~40% during WWII and 1970s devaluation; recovered to ~60%+ by 2020. Historical median ~50%.” — a-00027
This ratio is a long-run mean-reversion signal:
- High (>60%): Financial assets overrepresented; reversion toward hard assets likely. Historically coincided with 1929, 2000, 2008 peaks.
- Medium (~50%): Historical median; balanced.
- Low (<45%): Hard assets overrepresented; reversion toward financial assets likely. Coincided with 1970s stagflation nadir.
Current reading (~60%+ as of 2020): historically elevated. Consistent with the broader late-cycle pattern.
Bear Market Rally Trap
“After 50% decline [in 1929], rebound on ‘it’s over’ sentiment + recency bias. Stocks then fell another 60%. Post-bubble bear market rallies are structurally dangerous.” — a-00209
Post-crash rally pattern:
- Bubble pops → -50% decline
- Sentiment: “it’s over, stocks are cheap” → bear market rally
- Fundamental data starts deteriorating (earnings fall)
- Second leg down: -60%+ (the depression leg)
The 1930 bounce was driven by recency bias (1907 and 1920 downturns recovered quickly). The comparable 2001-2002 double-bottom and 2009 vs 2010-2011 patterns show the same structure.
2008 Housing Bubble Statistics
“From 2004 to 2006, home prices increased around 30% and had increased more than 80% since 2000, supported by increasingly liberal lending practices. That was the fastest pace of real housing price increases in a century, except for the immediate post-WWII period. The price rise was classically self-reinforcing.” — a-00215
Self-reinforcing bubble mechanics: higher prices → higher collateral → more lending → higher prices. The diagnostic is the self-reinforcing loop itself, not just the level.
For any bubble diagnosis, check:
- Is credit expansion driving the price rise? (Not income or real value creation)
- Is there a new narrative justifying “this time is different”?
- Is the appreciation pace historically extreme?
- Is leverage in the sector high and rising?
Dalio’s Transaction-Based Price Theory
“My approach to supply, demand, and price determination is different from the conventional approach in some simple but important ways that have proven invaluable to me… prices are set by actual transactions.” — a-00064
The practical implication: asset prices are set by: (1) how much money/credit is available to spend AND (2) how much is actually spent. When credit expands rapidly and targets a specific asset class (housing 2004-2006, tech 2020-2021), prices rise independent of fundamental value. The signal to exit is when credit expansion in that sector reverses — not when valuations are high.
All-Weather Framework as Bubble Screen
“Portfolio framework: Rising Growth Assets (equities) vs Falling Growth Assets (bonds); Rising Inflation Assets (commodities/gold) vs Falling Inflation Assets (nominal bonds).” — a-00021
A bubble in equities (overvalued, credit-driven) creates portfolio vulnerability on the growth side. Hedging: reduce growth exposure, increase inflation assets (gold, real assets) before credit contraction forces the rebalancing.
Inference Track the financial-assets-to-total-assets ratio as a long-run position indicator. When above 60%, systematically rotate toward hard/real assets. This is a 3-5 year horizon signal, not a short-term timing tool. Current reading (~60%+) justifies ongoing rotation toward real assets.