Financial Exchanges & Data
Financial Exchanges & Data is gaining market weight. Gained weight for 1 consecutive month.
Most of this industry's gains came from a few companies.
Where did the weight change come from?
12-month contribution in universe percentage points · contributions add to the industry change
The three largest same-direction contributors explain 99% of gross gains. Opposing contributions can make an individual company’s change larger than the industry’s net change.
How has it moved through history?
Share of matched S&P 500 members
Jan 2018 – Feb 2019 · market weight (%)
Relative performance
Industry return versus ACWI · no future data shown
Is participation broad or concentrated?
Actual constituent counts at this date, not the legacy synthetic breadth proxy
This is size concentration, not contribution to the 12-month change. The attribution above measures the latter.
Evidence can disagree
Independent dimensions · no combined score or bullish/bearish verdict
Other evidence and availability
Valuation data: unavailable; shown as zero placeholder.
Attention data: unavailable; shown as zero placeholder.
Actual fund flows: unavailable. No ETF, mutual-fund or institutional flow feed is connected.
Volume / turnover: unavailable in this dataset.
Follow the contribution to individual companies
Sorted by absolute 12-month weight contribution, not investment merit
| Company | Sub-industry | Country | Universe weight | 12M contribution | 12M price return | Revisions |
|---|---|---|---|---|---|---|
| MSCI → MSCI | Financial Exchanges & Data | United States | 0.090% | +0.090 pp | +32.2% | 0.0 |
| Cboe Global Markets → CBOE | Financial Exchanges & Data | United States | 0.062% | -0.014 pp | -13.1% | 0.0 |
| CME Group → CME | Financial Exchanges & Data | United States | 0.070% | +0.004 pp | +12.3% | 0.0 |
| S&P Global → SPGI | Financial Exchanges & Data | United States | 0.273% | -0.003 pp | +5.6% | 0.0 |
| Nasdaq, Inc. → NDAQ | Financial Exchanges & Data | United States | 0.029% | +0.002 pp | +15.6% | 0.0 |
| Moody's Corporation → MCO | Financial Exchanges & Data | United States | 0.192% | +0.001 pp | +4.9% | 0.0 |
| Intercontinental Exchange → ICE | Financial Exchanges & Data | United States | 0.254% | -0.001 pp | +6.9% | 0.0 |
Underlying monthly industry observations
| Month | Weight | 1M change | 3M change | 6M change | 12M change | Relative return · 12M |
|---|---|---|---|---|---|---|
| Feb 2019 | 0.971% | +0.437 pp | +0.426 pp | +0.418 pp | +0.080 pp | +6.9% |
| Jan 2019 | 0.534% | -0.006 pp | -0.001 pp | -0.427 pp | -0.309 pp | +11.0% |
| Dec 2018 | 0.540% | -0.005 pp | +0.017 pp | -0.469 pp | -0.303 pp | +11.8% |
| Nov 2018 | 0.545% | +0.009 pp | -0.008 pp | -0.439 pp | -0.298 pp | +12.4% |
| Oct 2018 | 0.535% | +0.013 pp | -0.425 pp | -0.441 pp | -0.307 pp | +9.8% |
| Sep 2018 | 0.523% | -0.030 pp | -0.486 pp | -0.381 pp | -0.320 pp | +5.2% |
| Aug 2018 | 0.553% | -0.408 pp | -0.431 pp | -0.338 pp | -0.290 pp | +10.4% |
| Jul 2018 | 0.961% | -0.048 pp | -0.016 pp | +0.118 pp | +0.118 pp | +6.3% |
| Jun 2018 | 1.009% | +0.025 pp | +0.105 pp | +0.166 pp | +0.166 pp | +10.6% |
| May 2018 | 0.984% | +0.007 pp | +0.093 pp | +0.141 pp | +0.141 pp | +7.1% |
| Apr 2018 | 0.977% | +0.073 pp | +0.134 pp | +0.134 pp | +0.134 pp | +5.2% |
| Mar 2018 | 0.904% | +0.013 pp | +0.061 pp | +0.061 pp | +0.061 pp | +6.6% |
| Feb 2018 | 0.891% | +0.048 pp | +0.048 pp | +0.048 pp | +0.048 pp | +5.8% |
| Jan 2018 | 0.843% | +0.000 pp | +0.000 pp | +0.000 pp | +0.000 pp | +0.0% |
How are these descriptive states defined?
Gaining / losing: 12-month weight change above +0.005pp / below −0.005pp. Direction and speed are separate dimensions, not mutually exclusive recommendations.
Accelerating / slowing: compare the most recent 3M change with the preceding 3M change. Accelerating means a positive change speeds up by >0.02pp. Slowing means the magnitude of movement declines by >0.02pp. A falling industry can also slow.
Reversing: the last two 3M changes have opposite signs, outside a ±0.005pp tolerance. Persistence counts consecutive same-direction monthly changes.
Broad / concentrated: company attribution, not a market-cap concentration shortcut. Concentrated means the three largest same-direction contributors account for ≥70% of gross same-direction changes; otherwise broad requires ≥60% of constituents moving with the industry. Other cases are mixed.
Weights use matched S&P 500 members’ market-cap estimates, based on SEC-reported shares available by each month-end and monthly closing prices. Companies without a matched price or share record are omitted, so the denominator is the matched sample rather than every index member. These are not official float-adjusted S&P weights. Flow is not measured.