Bubble Tracker

About Bubble Tracker

Bubble Tracker is an open, data-driven research platform that puts consumer prices, asset valuations, and monetary conditions on the same timeline. Inflation is not one thing: it is a collection of price dynamics operating across different markets, at different speeds, measured by indices that each embed specific methodological choices. Our goal is to make those dynamics visible and let users draw their own conclusions.

Our mission

Transparency across price domains

CPI is a well-constructed index for its intended purpose: measuring the cost of a representative consumption basket for urban households. But every price index embeds choices about scope (what goes in the basket), weighting (geometric vs. arithmetic means), quality adjustment (hedonic regression, substitution effects), and coverage (CPI excludes investment assets by design; PCE uses a different weighting methodology and broader scope). These are defensible choices, not flaws, but they mean CPI captures one particular slice of the price landscape. Understanding what CPI measures, and what it does not, is the starting point for reading this site.

Monetary policy operates through multiple channels simultaneously: short-term rates, long-term yields, term premia, bank balance sheets, credit conditions, portfolio rebalancing, and expectations. The transmission speeds differ: financial asset prices can respond within hours; housing markets adjust over quarters; official shelter CPI, which relies on lagged rent surveys and imputed owner-equivalent rent, takes 12-18 months to reflect market conditions. Bubble Tracker puts these different price domains on the same timeline so users can inspect co-movement, divergence, and lag structure for themselves.

We do not claim CPI understates 'true' inflation, nor do we propose a single alternative number. Instead, we present multiple price series transparently: consumer prices, asset prices, and the monetary aggregates that may link them, alongside the statistical uncertainty inherent in each relationship.

What we do

Four pillars of analysis

Equity Valuations

Interactive charts for Shiller CAPE, Price-to-Book, and Forward P/E. CAPE has historically been more useful for medium- to long-horizon return prospects than short-term timing. P/B is informative in asset-heavy sectors but less reliable where intangible capital dominates. Forward P/E reflects both earnings expectations and discount rates.

Equities

Inflation Dashboard

Decompose CPI into its components: headline, core, and shelter. See how official shelter CPI lags private market-rent measures, and how broad money growth has historically correlated with CPI at varying lags. Synced zoom across all charts.

Prices Dashboard

M2 Elasticity Research

Reduced-form estimates of how each asset class co-moves with broad money growth. Log-log regressions with Newey-West standard errors, cross-validated across sample windows, block-bootstrapped confidence intervals, and out-of-sample backtesting. These are associations, not a complete causal model.

Cantillon Chapter

Transmission Price Index™

A five-channel decomposition of U.S. consumer-price pressure. Decomposes CPI into trend core, housing, goods, services, and monetary channels with 12-month forecasts.

TPI Page

The mechanism

Channels of monetary transmission

Fed balance sheetRates & creditBroad money (M2)Asset pricesHousing & rentsConsumer prices
1

Fed balance sheet changes (QE/QT) → alters reserve balances, long-term yields, and term premia.

2

Rates and credit conditions shift → affects bank lending, portfolio rebalancing, and expectations.

3

Broad money (M2) may expand → driven by bank balance sheets, fiscal transfers, deposit demand, and regulatory factors (not just QE).

4

Asset prices respond → equities, bonds, and real estate reflect changed discount rates and risk appetite.

5

Housing market adjusts → home values shift, but official shelter CPI lags because rents and OER reset slowly.

6

Consumer prices adjust with variable lags → the money-growth/inflation link is stronger in high-inflation regimes (BIS, 2023).

Research context

Distributional effects of monetary policy

Richard Cantillon observed in the 1700s that whoever is closest to the source of new money benefits most. The modern central-bank literature on distributional effects is more nuanced: easier policy can lift asset values and benefit households with larger asset holdings, but employment and income channels can partially offset that effect.

We estimate reduced-form elasticities of each asset class to M2 money supply. In our baseline sample, equity prices show a substantially higher estimated elasticity than CPI. This is consistent with the idea that financial markets respond more quickly to monetary conditions than consumer prices.

These estimates should be read as reduced-form associations, not as a literal accounting of where every new dollar went. Trending macro series can generate misleadingly high R² and t-statistics if unit roots and cointegration are not handled carefully, which is why we report bootstrap intervals, cross-validation, rolling windows, and out-of-sample backtests alongside point estimates.

The perennial question

Are financial markets overvalued?

Whether markets are “overvalued“ depends on both the lens and the horizon. Different ratios ask different questions: P/B measures how far price stands above recorded equity; Forward P/E asks how dearly investors are paying for expected near-term profits; CAPE compares price with a long-run, cycle-smoothed notion of earnings power.

Equity valuations move with expected cash flows, discount rates, and risk premia. A constant-growth sketch: P/E ≈ 1 ÷ (r − g). When real yields fall, (r − g) shrinks and the same profit stream is worth more today. If multiples rise without EPS upgrades, valuation is being driven by rates rather than fundamentals.

Campbell-Shiller's work supports valuation ratios as useful for multi-year return outlooks, while short-run returns are dominated by flows, risk appetite, and macro shocks.

  • P/B is sensitive to sector mix and intangible capital, which is only partly reflected on balance sheets.
  • Forward P/E reflects both earnings expectations and discount rates; multiple expansion without EPS upgrades is a sign the advance is rate-driven.
  • CAPE smooths the cycle and aligns better with long-horizon returns than with short-term timing.

Measurement & scope

What 'inflation' does and doesn't measure

The word 'inflation' is used loosely in public discourse but refers to several distinct phenomena. CPI inflation measures changes in the cost of a consumption basket: it is a cost-of-living concept. Asset-price inflation (rising equity valuations, home prices, bond prices) reflects changes in discount rates, risk premia, and expected cash flows: it is a wealth concept. These can move in opposite directions: a period of low CPI inflation with rising asset prices is not a contradiction; it is two different channels of monetary transmission operating at different speeds.

CPI itself involves non-trivial methodological choices. Hedonic quality adjustment (e.g., for electronics, vehicles) attempts to separate price changes from quality changes, reasonable in principle but consequential in practice. The substitution effect (consumers switching to cheaper alternatives when prices rise) means the Laspeyres-type CPI can overstate cost-of-living inflation, while the BLS's geometric mean formula partially corrects this. Owner's Equivalent Rent, roughly 25% of CPI, imputes housing costs for homeowners using rental survey data rather than actual home prices or mortgage costs, creating a significant measurement lag and a conceptual gap between lived experience and the index.

PCE (Personal Consumption Expenditures), the Fed's preferred measure, uses chain-weighted Fisher indices and broader coverage including employer-provided health insurance. PCE typically runs 0.3-0.5 percentage points below CPI. Neither is 'right'; they answer slightly different questions. We primarily use CPI because it has longer history and monthly frequency, but the choice of index matters for interpretation.

  • Lower real rates → higher present values → richer multiples. This is a valuation channel, not 'inflation' in the CPI sense, but it affects wealth and purchasing power for asset holders.
  • OER methodology means CPI shelter lags market rents by 12-18 months, a measurement artifact, not an economic mystery. This lag is one of the most stable empirical regularities we track.
  • M2–CPI correlations are regime-dependent: strong during high-inflation episodes (2021–23), weak in the low-inflation 2010s. The BIS (2023) confirms that money growth carried useful information post-pandemic but was much less informative in the prior decade.

Getting started

How to use Bubble Tracker

The site is designed to be explored, not just read. Every chart is interactive: zoom, pan, and compare. Charts on the same page sync their x-axis, so zooming one zooms them all.

Transparency

Data sources & methodology

Consumer Prices

BLS (CPI-U, Core CPI, Shelter CPI)

Monetary

FRED (M2SL, WALCL, interest rates)

Housing

FRED (Case-Shiller CSUSHPISA)

Valuations

Shiller, S&P Global, Refinitiv/Yardeni

Every data source is cited. Every computation is reproducible. When series diverge, we present it as evidence to interpret, not as proof of a single mechanical law.

All data is cached locally (SQLite + CSV write-through) and refreshed daily via automated cron.

Reference

Glossary

Go deeper

Further reading & sources

For primary data, academic context, and alternative perspectives:

S&P® and S&P 500® are trademarks of S&P Dow Jones Indices LLC. This site is educational only and not investment advice.

Attribution

How to Cite

If you reference Bubble Tracker in an article, paper, dashboard, or report, please use the citation below and link back to bubble-tracker.com.

Koziol, T. (2026). “Bubble Tracker: Monetary Transmission, Valuations & Price Development.” bubble-tracker.com

Screenshots are welcome with attribution.For CSV/API access or commercial use, please contact us.