Life & Health Insurance
Life & Health Insurance is losing market weight. Lost weight for 1 consecutive month.
Most of this industry's losses 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 95% of gross losses. 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 – May 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 |
|---|---|---|---|---|---|---|
| Prudential Financial → PRU | Life & Health Insurance | United States | 0.218% | -0.028 pp | -0.7% | 0.0 |
| MetLife → MET | Life & Health Insurance | United States | 0.256% | -0.028 pp | +4.3% | 0.0 |
| Principal Financial Group → PFG | Life & Health Insurance | United States | 0.084% | -0.013 pp | -2.8% | 0.0 |
| Aflac → AFL | Life & Health Insurance | United States | 0.223% | +0.011 pp | +16.4% | 0.0 |
| Globe Life → GL | Life & Health Insurance | United States | 0.055% | -0.004 pp | +1.6% | 0.0 |
Underlying monthly industry observations
| Month | Weight | 1M change | 3M change | 6M change | 12M change | Relative return · 12M |
|---|---|---|---|---|---|---|
| May 2019 | 0.835% | -0.003 pp | +0.005 pp | +0.366 pp | -0.062 pp | +5.9% |
| Apr 2019 | 0.839% | +0.041 pp | +0.367 pp | +0.378 pp | -0.016 pp | -1.9% |
| Mar 2019 | 0.798% | -0.032 pp | +0.334 pp | +0.315 pp | -0.034 pp | -4.5% |
| Feb 2019 | 0.830% | +0.359 pp | +0.361 pp | +0.353 pp | -0.001 pp | -0.2% |
| Jan 2019 | 0.471% | +0.008 pp | +0.010 pp | -0.412 pp | -0.374 pp | -1.7% |
| Dec 2018 | 0.464% | -0.005 pp | -0.018 pp | -0.394 pp | -0.382 pp | -3.6% |
| Nov 2018 | 0.469% | +0.008 pp | -0.008 pp | -0.428 pp | -0.377 pp | -2.6% |
| Oct 2018 | 0.461% | -0.021 pp | -0.423 pp | -0.394 pp | -0.385 pp | -6.3% |
| Sep 2018 | 0.482% | +0.005 pp | -0.375 pp | -0.350 pp | -0.364 pp | -3.5% |
| Aug 2018 | 0.477% | -0.407 pp | -0.421 pp | -0.354 pp | -0.369 pp | -5.3% |
| Jul 2018 | 0.884% | +0.027 pp | +0.029 pp | +0.038 pp | +0.038 pp | -4.0% |
| Jun 2018 | 0.857% | -0.040 pp | +0.026 pp | +0.011 pp | +0.011 pp | -7.8% |
| May 2018 | 0.897% | +0.043 pp | +0.067 pp | +0.052 pp | +0.052 pp | -4.1% |
| Apr 2018 | 0.855% | +0.023 pp | +0.009 pp | +0.009 pp | +0.009 pp | +0.9% |
| Mar 2018 | 0.832% | +0.001 pp | -0.014 pp | -0.014 pp | -0.014 pp | -1.3% |
| Feb 2018 | 0.830% | -0.015 pp | -0.015 pp | -0.015 pp | -0.015 pp | -1.3% |
| Jan 2018 | 0.846% | +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.