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The Market Valuation Guide: Is the Market in a Bubble?

By Yuriy Matso · The Trading ToolsUpdated July 13, 202612 min read

Guide. Every number on this page is computed point-in-time from primary sources (Fed Z.1 & H.8, BEA, FINRA, Shiller's dataset) — values count only after their publication date, so historical scores contain no hindsight. Maintained and reviewed by Yuriy Matso; see our methodology and how we use AI.

Every cycle someone screams "bubble" and someone answers "this time it’s justified" — and both point at charts. This guide is a framework for settling it honestly: which valuation gauges have actually mattered, how to score them against their own published history with no hindsight, what the identical framework read at the 2000, 2007 and 2021–22 peaks, and — the part valuation can never give you — why a maxed-out score still says nothing about timing. Today’s score is live at the top.

Market valuation asks one question — how expensive are stocks relative to the economy, earnings, bonds and the cash behind them — and answers a different one than most people expect: it predicts the decade, not the top.

  • Live answer: yes — by this framework the market is in bubble territory: 8 of 10 scored gauges and 3 of 3 pillars at historical extremes (full scorecard).
  • The fingerprint today most resembles the 2000 peak — extreme against GDP and allocation measures; the earnings- and rates-based anchors are less stretched.
  • Calibration, same framework, no hindsight: 2000 peak 10/10, 2007 peak 2/10 (a credit bubble, not a valuation bubble), 2021–22 peak 5/10.
  • The honesty clause: months this stretched still averaged +7.9% over the NEXT year — the damage historically arrived over 3–10 years (-1.8% average 3-year return, -35.9% average max drawdown).
Live nowData as of 2026-07-13

What valuation can — and can't — tell you

Valuation is the most abused word in market commentary because it gets asked to do a job it has never done: call tops. It can't. The record is unambiguous — the gauges on this page were screaming in 1997, three years and a Nasdaq triple before the 2000 peak, and our own framework read maxed-out scores through most of 1998–2000. Anyone who sold on valuation alone left the best part of the bubble on the table.

What valuation has done, reliably, is set the odds for the years that follow. Start-point valuation is among the best predictors of 10-year forward returns anywhere in finance, and the outcome table below shows the same result on our own score history: expensive starting points produced weak multi-year returns and much deeper drawdowns, cheap ones produced the generational entries. Read this entire guide with that frame — conditions, not timing — and every chart on it becomes useful instead of terrifying.

The anchors: price vs the economy, vs earnings, vs bonds

Every serious valuation argument reduces to a choice of denominator. Price relative to the economy: the Buffett Indicator (public equity market value ÷ GDP) reads 250% today against a long-run median near 84% — far past its 2000-peak reading. Price relative to earnings: the cap-to-profits multiple reads 20.2× versus 30× at the 2000 record — much less alarming, because corporate profits have boomed. And price relative to ten years of real earnings: the Shiller CAPE at 41.4×, within a few points of its all-time December-1999 record of 44.2.

The gap between the GDP anchor and the earnings anchors is the modern valuation debate: if today's record profit margins persist, the earnings-based reads are the honest ones; if margins mean-revert, the earnings anchors snap up to meet the GDP anchor. There is no data that settles it in advance — which is why the framework scores all of them rather than letting you pick your favorite.

The fourth anchor answers the objection you've already thought of: don't low rates justify this? Shiller's Excess CAPE Yield — the CAPE earnings yield minus the real 10-year Treasury yield, published in the same dataset since 1881 — measures what stocks offer over bonds. It went negative at the 2000 peak (stocks were priced to return less than TIPS), stayed comfortably positive through the zero-rate 2021 top, and reads 1.39% today (77th bubble percentile). When the rates rebuttal is testable, it stops being a rebuttal and becomes a gauge.

Allocation & cash: how invested is everyone already?

Valuation ratios describe prices; allocation gauges describe people. The single best long-horizon predictor in the basket is household equity allocation — the share of household financial assets in stocks, 45.8% today and at records. Its logic is supply and demand at civilizational scale: when everyone is already fully invested, the marginal buyer is gone.

Its mirror is cash. The sideline cash ratio — money-fund assets plus bank deposits relative to the market value of all US equities — sits near its 2000 record low (96th bubble percentile), and household cash allocation reads 14.5%. Beware the “record cash on the sidelines” headline you'll see arguing the opposite: in dollars the cash pile always grows; relative to the market it is supposed to support, it has rarely been thinner. In aggregate, cash cannot “flow into” stocks at all — every buyer hands their cash to a seller — a myth we take apart in its own essay.

Leverage: the accelerant

Valuation extremes funded with cash deflate; valuation extremes funded with borrowed money deleverage — violently. That is why the framework gives leverage its own pillar. Margin debt is watched two ways: the flow (excess leverage — margin growth minus market growth, 25.4 pp today; sustained readings above +20pp marked the late stages of 2000, 2007 and 2021) and the stock (margin debt as a share of M2, 6.1% — the highest share since March 2000, which printed the identical figure). When both are extreme at once, the rally is being carried on borrowed money.

The score — replayed at every peak, with no hindsight

Any basket of gauges can be tuned to look scary today. The test that matters is what the identical framework would have printed at prior peaks, using only data published by those dates. That discipline — release-aware, expanding percentiles, a 20-year rolling cross-check, five years of history before a gauge may vote — is the Bubble Tracker's core, and it produces this calibration:

DateScorePillars extremeWhat it meant
Today8/103/3The current read — see the full scorecard for every gauge
2000 peak (Mar 24)10/103/3Every gauge extreme — the only full-basket max in the record
2007 peak (Oct 9)2/101/3Only the leverage pair — the bubble lived in credit and housing
2021–22 peak (Jan 3)5/102/3Stretched, but rates kept the bond-relative anchor calm
Point-in-time scores: gauges past the 90th bubble percentile of their own published history, under both the full-history and rolling-20-year tests. Live from the Bubble Tracker.

The 2007 row is the framework's credential. A valuation basket that lights up at every top is a fear generator, not a measurement. This one read almost nothing in October 2007 — correctly, because equity valuations were mid-range then — while its context gauges (real home prices, the Baa credit spread) show exactly where that cycle's excess actually lived.

What happened next — the outcome table

The claim “valuation predicts the decade, not the top” is testable on our own score history, monthly since 1997, joined to SPY's forward returns:

Score that monthMonthsFwd 1yFwd 3yFwd 5yAvg max DD (3y)
Bubble zone (70%+)52+7.9%-1.8%-9.5%-35.9%
Elevated (40–69%)43+8.9%+31.7%+30.8%-26.1%
Low share (<40%)95+5.8%+27.6%+49.2%-31.0%
None extreme (0%)164+11.0%+29.0%+52.1%-22.3%
Average SPY price return after each month, grouped by the share of live gauges at extremes that month. Overlapping windows; high-score months cluster in 1998–2000 and 2021+; recent months lack complete long horizons. Live from the Bubble Tracker.

Read the first return column, then the rest. Over the next year, the bands barely differ — that is the timing honesty, in the data. Over three to five years, the bubble-zone months turn negative while the zero-extreme months compound at their best rates, and the average worst drawdown deepens by a third. Valuation is a position-sizing input and a decade forecast; it is not a sell signal.

The breadth modifier

Two markets with the same valuation score can be very different animals. Extremes with broad participation — the average stock making highs alongside the index — have historically run longer than extremes carried by a narrow leadership. The framework keeps breadth out of the score (it measures confirmation, not valuation) and reads it as a modifier via the Hidden Bear Index and Bear Market Breadth. The historically dangerous combination is a high score with deteriorating breadth underneath — covered in depth in the Market Breadth guide.

False positives & honest limits

Where valuation frameworks embarrass their users
  • 1997–2000: the framework maxed out three years early. Anyone treating a high score as a sell signal missed a Nasdaq triple. The score is a regime description, not a trigger.
  • “This time” is sometimes partly right: in 2021, zero rates genuinely did justify part of the premium — the Excess CAPE Yield stayed healthy and the framework scored 2021 well below 2000. Blanket bearishness would have missed that nuance.
  • Trending denominators: gauges like margin/M2 or the top-1% wealth share drift structurally, which is why every gauge must clear its threshold on BOTH full history and the trailing 20 years before it votes.
  • Survivorship in the storytelling: the famous calls (Shiller 2000, Burry 2007) are remembered; the identical calls made in 1996, 2013 and 2017 are not. Score the framework, not the anecdotes.
How to actually use a valuation read
  • Let it set position size and expectations, not entries and exits — expensive starting points earn smaller sizing and humbler return assumptions.
  • Pair the score with breadth and credit — the tactical tools that actually move on tops-in-progress.
  • Re-read it quarterly, when the Z.1 gauges refresh — valuation moves at glacier speed, and checking it daily only builds anxiety.
  • When the score is at zero (2009-style), remember the table works in reverse — those months preceded the best returns in the study.

The valuation toolkit

The frameworkIs the market in a bubble?

  • Bubble Trackerthe full point-in-time scorecard, fingerprint heatmap and outcome study

Direct valuationHow expensive is the market?

  • Shiller CAPEprice vs ten years of real earnings, monthly since 1881, with the Excess CAPE Yield
  • Buffett Indicatorprice vs the economy — market cap to GDP since the 1950s
  • Market Cap to Profitsprice vs current earnings — the margin-debate cross-check

Allocation & cashHow invested is everyone already?

Leverage & contextWhat's carrying the rally?

  • Margin Debtexcess leverage (the flow) and margin as a share of M2 (the stock)
  • Wealth Distributionthe top-1% share — secular context for the allocation gauges
  • Real Home Priceswhere the 2007 bubble actually lived
  • Credit Spreadsthe bond market's risk pricing — tightest right before 2007 broke

The Market Breadth guide covers the confirmation side — whether the average stock is participating in what the valuation gauges are pricing. The Volatility & Risk guide covers the fast side of risk that actually moves at turns. For the cash-on-the-sidelines myth in full, read There's $8 Trillion Sitting in Money Market Funds, and for the macro backdrop, the Economy section's valuation category holds every underlying series with full history and CSV downloads.

Frequently asked questions

Is the stock market in a bubble right now?

The live answer is at the top of this page and on the Bubble Tracker, backed by an auditable score: ten valuation, allocation and leverage gauges, each scored point-in-time against its own published history, with the identical method replayed at the 2000, 2007 and 2021 peaks for calibration. As of the latest data the framework reads most gauges at historical extremes — conditions it has only matched at major cycle peaks.

What is the single best valuation indicator?

There isn't one, and that's the point of using a basket. Household equity allocation has the best record on 10-year forward returns; the Shiller CAPE has the longest history; the Buffett Indicator is the cleanest price-vs-economy read; the Excess CAPE Yield is the only one that answers the interest-rate objection. They disagree at the margins — the disagreement is the information.

Does an expensive market mean a crash is coming?

No. High valuation scores have said little about the following 12 months — the framework's own outcome table shows bubble-zone months still averaged positive next-year returns. What high scores reliably preceded is weaker 3-to-10-year returns and deeper drawdowns. Valuation sets the odds for the decade, not the date of the turn.

Why didn't these gauges flag 2007?

Because 2007 was not an equity-valuation bubble. Replayed point-in-time at the October 2007 peak, the framework read roughly 2 of 10 gauges extreme — both of them leverage gauges — while every valuation anchor sat mid-range. The excess lived in credit and housing, which is exactly what the context gauges show. A framework that flags every top is worthless.

Doesn't high valuation just reflect low interest rates?

Sometimes — and the framework tests for it. Shiller's Excess CAPE Yield (the CAPE earnings yield minus the real 10-year Treasury yield) went negative at the 2000 peak but stayed healthy through the zero-rate 2021 top, correctly refusing to call 2021 a rates-adjusted extreme. Where it sits today is on the page, updated with every release.

How often does this guide update?

The live readings, score and tables update with every underlying release — daily for market-based gauges, monthly for FINRA margin and Shiller data, quarterly for the Fed's Z.1. The framework itself (thresholds, pillars, point-in-time rules) is versioned and documented on the Bubble Tracker.

Sources. Federal Reserve Z.1 financial accounts and H.8 bank data plus BEA national accounts (via FRED), FINRA margin statistics, Robert Shiller's dataset (shillerdata.com), and our own daily price history. All scores are computed point-in-time — values count only after their publication date — with methodology documented on the Bubble Tracker.

Spot an error? Email info@thetrading.tools — we correct on the page and bump the date. Educational content, not financial advice.