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CINF vs MKL
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 CINF is a Buy and MKL 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).
CINF’s FA Score shows that 2 FA rating(s) are green whileMKL’s FA Score has 2 green FA rating(s).
- CINF’s FA Score: 2 green, 3 red.
- MKL’s FA Score: 2 green, 3 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.
CINF’s TA Score shows that 6 TA indicator(s) are bullish while MKL’s TA Score has 5 bullish TA indicator(s).
- CINF’s TA Score: 6 bullish, 4 bearish.
- MKL’s TA Score: 5 bullish, 5 bearish.
Price Growth
CINF (@Property/Casualty Insurance) experienced а +0.15% price change this week, while MKL (@Property/Casualty Insurance) price change was -0.09% for the same time period.
The average weekly price growth across all stocks in the @Property/Casualty Insurance industry was -1.16%. For the same industry, the average monthly price growth was +5.74%, and the average quarterly price growth was +10.24%.
Reported Earning Dates
CINF is expected to report earnings on Jul 23, 2025.
MKL is expected to report earnings on Aug 05, 2025.
Industries' Descriptions
@Property/Casualty Insurance (-1.16% weekly)Property and casualty companies insure against accidents of non-physical harm, such as lawsuits, damage to personal assets, car crashes and more. Progressive Corporation, Travelers Companies, Inc. and Allstate Corporation are some of the biggest providers of such products.
| CINF | MKL | CINF / MKL | |
| Capitalization | 19.5B | 19.8B | 98% |
| EBITDA | N/A | N/A | - |
| Gain YTD | 2.575 | 8.013 | 32% |
| P/E Ratio | 10.48 | 10.27 | 102% |
| Revenue | 10B | 15.7B | 64% |
| Total Cash | 14.7B | 10.2B | 144% |
| Total Debt | 874M | 3.78B | 23% |
CINF | MKL | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 22 | 18 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 50 Fair valued | 93 Overvalued | |
PROFIT vs RISK RATING 1..100 | 24 | 15 | |
SMR RATING 1..100 | 100 | 100 | |
PRICE GROWTH RATING 1..100 | 44 | 47 | |
P/E GROWTH RATING 1..100 | 8 | 15 | |
SEASONALITY SCORE 1..100 | 50 | 50 |
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.
CINF's Valuation (50) in the Property Or Casualty Insurance industry is somewhat better than the same rating for MKL (93) in the Specialty Insurance industry. This means that CINF’s stock grew somewhat faster than MKL’s over the last 12 months.
MKL's Profit vs Risk Rating (15) in the Specialty Insurance industry is in the same range as CINF (24) in the Property Or Casualty Insurance industry. This means that MKL’s stock grew similarly to CINF’s over the last 12 months.
MKL's SMR Rating (100) in the Specialty Insurance industry is in the same range as CINF (100) in the Property Or Casualty Insurance industry. This means that MKL’s stock grew similarly to CINF’s over the last 12 months.
CINF's Price Growth Rating (44) in the Property Or Casualty Insurance industry is in the same range as MKL (47) in the Specialty Insurance industry. This means that CINF’s stock grew similarly to MKL’s over the last 12 months.
CINF's P/E Growth Rating (8) in the Property Or Casualty Insurance industry is in the same range as MKL (15) in the Specialty Insurance industry. This means that CINF’s stock grew similarly to MKL’s over the last 12 months.
| CINF | MKL | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 57% | 2 days ago 47% |
| Stochastic ODDS (%) | 2 days ago 61% | 2 days ago 56% |
| Momentum ODDS (%) | 2 days ago 68% | 2 days ago 49% |
| MACD ODDS (%) | 2 days ago 58% | 2 days ago 52% |
| TrendWeek ODDS (%) | 2 days ago 61% | 2 days ago 47% |
| TrendMonth ODDS (%) | 2 days ago 64% | 2 days ago 51% |
| Advances ODDS (%) | 4 days ago 60% | 4 days ago 56% |
| Declines ODDS (%) | 2 days ago 53% | 2 days ago 56% |
| BollingerBands ODDS (%) | 2 days ago 53% | 2 days ago 55% |
| Aroon ODDS (%) | 2 days ago 56% | 2 days ago 51% |
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CINF and
Correlation & Price change
A.I.dvisor indicates that over the last year, CINF has been closely correlated with L. These tickers have moved in lockstep 84% of the time. This A.I.-generated data suggests there is a high statistical probability that if CINF jumps, then L could also see price increases.
| Ticker / NAME | Correlation To CINF | 1D Price Change % | ||
|---|---|---|---|---|
| CINF | 100% | -2.43% | ||
| L - CINF | 84% Closely correlated | -1.35% | ||
| CNA - CINF | 78% Closely correlated | -1.37% | ||
| HIG - CINF | 77% Closely correlated | -1.21% | ||
| THG - CINF | 76% Closely correlated | -1.42% | ||
| TRV - CINF | 76% Closely correlated | -0.94% | ||
More | ||||
MKL and
Correlation & Price change
A.I.dvisor indicates that over the last year, MKL has been closely correlated with L. These tickers have moved in lockstep 71% of the time. This A.I.-generated data suggests there is a high statistical probability that if MKL jumps, then L could also see price increases.