BHFAO vs PFF
To compare these two companies we present long-term analysis, their fundamental ratings and make comparative short-term technical analysis which are presented below. The conclusion is BHFAO is a StrongBuy and PFF is a Buy.
Long-Term Analysis
It is best to consider a long-term outlook for a ticker by using Fundamental Analysis (FA) ratings. The rating of 1 to 100, where 1 is best and 100 is worst, is divided into thirds. The first third (a green rating of 1-33) indicates that the ticker is undervalued; the second third (a grey number between 34 and 66) means that the ticker is valued fairly; and the last third (red number of 67 to 100) reflects that the ticker is undervalued. We use an FA Score to show how many ratings show the ticker to be undervalued (green) or overvalued (red).
BHFAO’s FA Score shows that 1 FA rating(s) are green while.
- BHFAO’s FA Score: 1 green, 4 red.
Short-Term Analysis
It is best to consider a short-term outlook for a ticker by using Technical Analysis (TA) indicators. We use Odds of Success as the percentage of outcomes which confirm successful trade signals in the past.
If the Odds of Success (the likelihood of the continuation of a trend) for each indicator are greater than 50%, then the generated signal is confirmed. A green percentage from 90% to 51% indicates that the ticker is in a bullish trend. A red percentage from 90% - 51% indicates that the ticker is in a bearish trend. All grey percentages are below 50% and are considered not to confirm the trend signal.
BHFAO’s TA Score shows that 3 TA indicator(s) are bullish.
- BHFAO’s TA Score: 3 bullish, 5 bearish.
Price Growth
BHFAO (@Life/Health Insurance) experienced а -0.86% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Life/Health Insurance industry was +1.38%. For the same industry, the average monthly price growth was +9.73%, and the average quarterly price growth was +2.02%.
Industries' Descriptions
@Life/Health Insurance (+1.38% weekly)Life insurance companies mainly sell policies that pay a death benefit as a lump sum upon the death of the insured to their beneficiaries. Life insurance policies may be sold as term life, (which guarantees payment of a stated death benefit and expires at the end of a specified term) or permanent /typically whole life (which is more expensive but lasts a lifetime and carries a cash accumulation component). Life insurance firms may also sell long-term disability policies that help to replace the insured individual’s income if they become sick or disabled. Health insurance, on the other hand, helps pay for medical expenses. Anthem, Inc., MetLife, Inc. and Aflac Incorporated are some of the largest U.S. companies in this industry.
| BHFAO | PFF | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 43% | 1 day ago 79% |
| Stochastic ODDS (%) | 1 day ago 39% | 1 day ago 62% |
| Momentum ODDS (%) | 1 day ago 36% | 1 day ago 68% |
| MACD ODDS (%) | 1 day ago 36% | 1 day ago 67% |
| TrendWeek ODDS (%) | 1 day ago 41% | 1 day ago 66% |
| TrendMonth ODDS (%) | 1 day ago 34% | 1 day ago 63% |
| Advances ODDS (%) | 10 days ago 34% | 2 days ago 69% |
| Declines ODDS (%) | 3 days ago 42% | 8 days ago 71% |
| BollingerBands ODDS (%) | 1 day ago 35% | 1 day ago 71% |
| Aroon ODDS (%) | 1 day ago 44% | 1 day ago 85% |
BHFAO and
Correlation & Price change
A.I.dvisor indicates that over the last year, BHFAO has been closely correlated with BHFAP. These tickers have moved in lockstep 81% of the time. This A.I.-generated data suggests there is a high statistical probability that if BHFAO jumps, then BHFAP could also see price increases.
| Ticker / NAME | Correlation To BHFAO | 1D Price Change % | ||
|---|---|---|---|---|
| BHFAO | 100% | -2.15% | ||
| BHFAP - BHFAO | 81% Closely correlated | -0.51% | ||
| BHFAM - BHFAO | 73% Closely correlated | -1.27% | ||
| BHFAN - BHFAO | 54% Loosely correlated | -1.20% | ||
| LNC - BHFAO | 32% Poorly correlated | -1.82% | ||
| BHF - BHFAO | 30% Poorly correlated | -0.89% | ||
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PFF and
Correlation & Price change
A.I.dvisor indicates that over the last year, PFF has been closely correlated with ACGLO. These tickers have moved in lockstep 73% of the time. This A.I.-generated data suggests there is a high statistical probability that if PFF jumps, then ACGLO could also see price increases.
| Ticker / NAME | Correlation To PFF | 1D Price Change % | ||
|---|---|---|---|---|
| PFF | 100% | -0.03% | ||
| ACGLO - PFF | 73% Closely correlated | +0.10% | ||
| NTRSO - PFF | 73% Closely correlated | -0.71% | ||
| HBANP - PFF | 73% Closely correlated | -0.50% | ||
| ACGLN - PFF | 72% Closely correlated | -0.47% | ||
| FITBO - PFF | 69% Closely correlated | -0.09% | ||
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