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).
FIHL’s FA Score shows that 1 FA rating(s) are green whileSLF’s FA Score has 1 green FA rating(s).
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.
FIHL’s TA Score shows that 3 TA indicator(s) are bullish while SLF’s TA Score has 7 bullish TA indicator(s).
FIHL (@Multi-Line Insurance) experienced а -1.58% price change this week, while SLF (@Multi-Line Insurance) price change was +1.77% for the same time period.
The average weekly price growth across all stocks in the @Multi-Line Insurance industry was -0.38%. For the same industry, the average monthly price growth was +16.61%, and the average quarterly price growth was +15.36%.
FIHL is expected to report earnings on Nov 18, 2024.
SLF is expected to report earnings on Nov 04, 2024.
A multi-line insurance contract bundles together exposures to risk and covers them under a single contract. For providers of such policies, the bundle is a potential risk diversification strategy since their exposure gets spread over several factors, which helps them mitigate a financial burden if a catastrophic event were to occur. Other potential benefits include getting more premiums from including more than one type of insurance in a bundle, and getting a competitive edge by procuring multiple insurance contracts with a customer. Examples of companies in this industry are Berkshire Hathaway (which owns several insurance companies), Chubb Limited, American International Group, Inc. and Sun Life Financial Inc.
FIHL | SLF | FIHL / SLF | |
Capitalization | 2.26B | 31.6B | 7% |
EBITDA | N/A | N/A | - |
Gain YTD | 44.468 | 6.305 | 705% |
P/E Ratio | 1.03 | 13.86 | 7% |
Revenue | 3.59B | 32.7B | 11% |
Total Cash | 4.01B | 27.5B | 15% |
Total Debt | 448M | 13.3B | 3% |
SLF | ||
---|---|---|
OUTLOOK RATING 1..100 | 26 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 27 Undervalued | |
PROFIT vs RISK RATING 1..100 | 50 | |
SMR RATING 1..100 | 98 | |
PRICE GROWTH RATING 1..100 | 43 | |
P/E GROWTH RATING 1..100 | 52 | |
SEASONALITY SCORE 1..100 | n/a |
Tickeron ratings are formulated such that a rating of 1 designates the most successful stocks in a given industry, while a rating of 100 points to the least successful stocks for that industry.
FIHL | SLF | |
---|---|---|
RSI ODDS (%) | 3 days ago50% | 3 days ago55% |
Stochastic ODDS (%) | 3 days ago80% | 3 days ago45% |
Momentum ODDS (%) | 3 days ago65% | 3 days ago54% |
MACD ODDS (%) | 3 days ago63% | 3 days ago36% |
TrendWeek ODDS (%) | 3 days ago59% | 3 days ago50% |
TrendMonth ODDS (%) | 3 days ago82% | 3 days ago45% |
Advances ODDS (%) | 9 days ago66% | 4 days ago47% |
Declines ODDS (%) | 11 days ago48% | N/A |
BollingerBands ODDS (%) | 3 days ago50% | 5 days ago60% |
Aroon ODDS (%) | 3 days ago55% | 3 days ago33% |
A.I.dvisor indicates that over the last year, FIHL has been loosely correlated with SLF. These tickers have moved in lockstep 35% of the time. This A.I.-generated data suggests there is some statistical probability that if FIHL jumps, then SLF could also see price increases.
Ticker / NAME | Correlation To FIHL | 1D Price Change % | ||
---|---|---|---|---|
FIHL | 100% | -1.15% | ||
SLF - FIHL | 35% Loosely correlated | -0.49% | ||
AIG - FIHL | 33% Loosely correlated | -3.72% | ||
ORI - FIHL | 27% Poorly correlated | -1.14% | ||
EQH - FIHL | 24% Poorly correlated | -1.29% | ||
ACGL - FIHL | 20% Poorly correlated | -0.99% | ||
More |
A.I.dvisor indicates that over the last year, SLF has been loosely correlated with HIG. These tickers have moved in lockstep 57% of the time. This A.I.-generated data suggests there is some statistical probability that if SLF jumps, then HIG could also see price increases.