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S&P 500 Concentration and Forward Returns: Does a Top-Heavy Market Predict the Next Decade?

Across six decade starts, the sample correlation between starting top-10 concentration and the next 10-year S&P 500 price return was -0.72; excluding 1965 reduced it to -0.04.
By Lee BaileyPublished September 20, 2026Historical outcomes through June 30, 2025Version 1.06 non-overlapping 10-year observations
Concentration and forward returns

The apparent relationship depends heavily on the 1965 starting point.

Across six exact decade starts, the sample Pearson correlation between S&P 500 top-10 concentration and the following 10-year annualized price return is -0.72. Remove June 1965 and the correlation becomes -0.04. That sensitivity is the main result, not a forecast.

-0.72six-observation sample correlation
Starting top-10 concentration versus the next 10-year annualized S&P 500 price return.
-0.04correlation excluding June 1965
The apparent negative relationship nearly disappears when the highest-concentration start is removed.
12.53%highest subsequent annualized price return
June 1985 through June 1995.
Returns are S&P 500 price returns in USD and exclude dividends. The June 2025 concentration endpoint has no subsequent 10-year outcome yet, so it is not part of the six-observation sample.

Six starting points, six subsequent decades

The scatter plot uses only exact decade endpoints that can be reconstructed from S&P DJI's published table values. The x-axis is starting top-10 concentration. The y-axis is the annualized S&P 500 price return over the following 10 years.

Starting top-10 concentration vs. subsequent 10-year S&P 500 price return

Six non-overlapping decade starts from June 1965 through June 2015.
Units: X: top-10 index weight ยท Y: annualized price returnData: June 30, 2025

Six points compare starting S&P 500 top-10 concentration with the following decade's annualized price return. June 1965 is the highest-concentration start at 38.24% and is followed by the lowest return at 1.17%. The other five observations do not preserve a strong monotonic relationship.

Starting pointStarting top-10 weightForward periodAnnualized S&P 500 price return
June 30, 196538.24%1965-19751.17%
June 30, 197529.08%1975-198510.84%
June 30, 198519.47%1985-199512.53%
June 30, 199517.67%1995-200510.00%
June 30, 200520.92%2005-20155.46%
June 30, 201517.81%2015-202511.66%

The -0.72 correlation is not stable

The full six-point sample produces a correlation of -0.72. But the June 1965 start combines the sample's highest concentration, 38.24%, with its weakest subsequent annualized return, 1.17%. Removing that one point changes the correlation to -0.04.

The historical rows are still informative. The second-most concentrated start, June 1975 at 29.08%, was followed by a much stronger 10.84% annualized decade. The strongest decade in the sample, 12.53% annualized from 1985 to 1995, began with top-10 concentration of 19.47%.

Why this differs from S&P DJI's concentration-change result

S&P DJI describes a mildly positive statistical relationship between changes in concentration and index performance over its richer history. This study does not reproduce or reverse that statistic. It asks a different timing question: whether the starting concentration level at six decade endpoints was associated with the following 10-year return.

What this history does not prove

Returns exclude dividends and are not inflation-adjusted. The study does not control for starting valuation, interest rates, earnings growth, sector composition, changes in index membership, or the mechanism that caused concentration to rise or fall.

The June 2025 top-10 concentration endpoint is intentionally absent from the forward-return sample because its 2025-2035 outcome has not happened yet.

Methodology

  1. Start with the exact June 1965 top-10 concentration of 38.24%, reconstructed from the 10 company weights in S&P DJI's Exhibit 3.
  2. Add each decade's published change in top-10 weight from Exhibit 5 to reconstruct the next decade endpoint. Use the first six endpoints, June 1965 through June 2015, as starting observations.
  3. Pair each start with the annualized S&P 500 price return for the following 10-year period from Exhibit 5: 1.17%, 10.84%, 12.53%, 10.00%, 5.46%, and 11.66%.
  4. Calculate the ordinary Pearson correlation across the six concentration-return pairs, then repeat it after excluding June 1965 and in six leave-one-out samples.
  5. Do not digitize the quarterly concentration chart, add overlapping windows, or infer a return for the June 2025 starting point.

Primary source

Download the six forward-return observations

The CSV contains the six decade starts and subsequent 10-year annualized price returns. The JSON adds the sensitivity statistics, source boundaries, and reviewed source URL.

Research data

Public study files are available for verification and analysis. The Grizzly Bulls Data License covers these public downloads; third-party source records retain their own rights. Reuse terms โ†’
  • CSVCSV download
    Tabular public study data for spreadsheet analysis, independent checks, and new charts.
    Data snapshot June 30, 2025 ยท Reuse with attribution to the canonical study.
    Download CSV
  • JSONJSON download
    Structured public study data for programmatic verification while preserving the published field names and research context.
    Data snapshot June 30, 2025 ยท Reuse with attribution to the canonical study.
    Download JSON

Citation and reuse

Lee Bailey. โ€œS&P 500 Concentration and Forward Returns: Does a Top-Heavy Market Predict the Next Decade?: Across six decade starts, the sample correlation between starting top-10 concentration and the next 10-year S&P 500 price return was -0.72; excluding 1965 reduced it to -0.04.โ€ Grizzly Bulls, September 20, 2026. Version 1.0. Data snapshot June 30, 2025. https://grizzlybulls.com/research/sp500-concentration-forward-returns

When citing the correlation, describe it as a six-observation descriptive statistic using reconstructed decade starting concentrations and subsequent S&P 500 annualized price returns. Do not attribute the -0.72 value to S&P DJI.