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).
AIG’s FA Score shows that 1 FA rating(s) are green whileCMS’s FA Score has 0 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.
AIG’s TA Score shows that 3 TA indicator(s) are bullish while CMS’s TA Score has 3 bullish TA indicator(s).
AIG (@Multi-Line Insurance) experienced а -3.61% price change this week, while CMS (@Electric Utilities) price change was -5.39% for the same time period.
The average weekly price growth across all stocks in the @Multi-Line Insurance industry was -1.52%. For the same industry, the average monthly price growth was -4.60%, and the average quarterly price growth was -0.22%.
The average weekly price growth across all stocks in the @Electric Utilities industry was -1.17%. For the same industry, the average monthly price growth was -2.69%, and the average quarterly price growth was +6.42%.
AIG is expected to report earnings on Aug 05, 2026.
CMS is expected to report earnings on Jul 23, 2026.
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.
@Electric Utilities (-1.17% weekly)Electric utilities companies generate, transmit and distribute electricity to businesses/offices and residences. Companies may be owned by the government or investors or public shareholders, or a combination thereof. The industry also includes firms that buy and sell electricity. Companies in this industry typically require significant investments in infrastructure. Many firms in this industry pay substantial and regular dividends to shareholders. However, changes in interest rates (and their impact on debt burdens), natural disasters and changing commodity prices could be factors affecting energy utilities’ profit margins. NextEra Energy, Inc., Duke Energy Corporation, Dominion Energy Inc. and Southern Company are among U.S. electric utilities companies with the largest market capitalizations.
| AIG | CMS | AIG / CMS | |
| Capitalization | 38.5B | 21.7B | 177% |
| EBITDA | N/A | 3.4B | - |
| Gain YTD | -14.696 | 1.952 | -753% |
| P/E Ratio | 12.77 | 19.43 | 66% |
| Revenue | 26.6B | 8.82B | 302% |
| Total Cash | 34.9B | 175M | 19,943% |
| Total Debt | 9.16B | 19.1B | 48% |
AIG | CMS | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 56 | 61 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 41 Fair valued | 62 Fair valued | |
PROFIT vs RISK RATING 1..100 | 26 | 53 | |
SMR RATING 1..100 | 92 | 64 | |
PRICE GROWTH RATING 1..100 | 60 | 58 | |
P/E GROWTH RATING 1..100 | 86 | 58 | |
SEASONALITY SCORE 1..100 | 65 | 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.
AIG's Valuation (41) in the Multi Line Insurance industry is in the same range as CMS (62) in the Electric Utilities industry. This means that AIG’s stock grew similarly to CMS’s over the last 12 months.
AIG's Profit vs Risk Rating (26) in the Multi Line Insurance industry is in the same range as CMS (53) in the Electric Utilities industry. This means that AIG’s stock grew similarly to CMS’s over the last 12 months.
CMS's SMR Rating (64) in the Electric Utilities industry is in the same range as AIG (92) in the Multi Line Insurance industry. This means that CMS’s stock grew similarly to AIG’s over the last 12 months.
CMS's Price Growth Rating (58) in the Electric Utilities industry is in the same range as AIG (60) in the Multi Line Insurance industry. This means that CMS’s stock grew similarly to AIG’s over the last 12 months.
CMS's P/E Growth Rating (58) in the Electric Utilities industry is in the same range as AIG (86) in the Multi Line Insurance industry. This means that CMS’s stock grew similarly to AIG’s over the last 12 months.
| AIG | CMS | |
|---|---|---|
| RSI ODDS (%) | N/A | N/A |
| Stochastic ODDS (%) | 1 day ago 71% | 1 day ago 56% |
| Momentum ODDS (%) | 1 day ago 51% | 1 day ago 37% |
| MACD ODDS (%) | 1 day ago 56% | 1 day ago 52% |
| TrendWeek ODDS (%) | 1 day ago 51% | 1 day ago 38% |
| TrendMonth ODDS (%) | 1 day ago 46% | 1 day ago 36% |
| Advances ODDS (%) | 15 days ago 60% | 14 days ago 49% |
| Declines ODDS (%) | 4 days ago 50% | 4 days ago 39% |
| BollingerBands ODDS (%) | N/A | 1 day ago 65% |
| Aroon ODDS (%) | 7 days ago 62% | 1 day ago 23% |
A.I.dvisor indicates that over the last year, AIG has been closely correlated with ORI. These tickers have moved in lockstep 71% of the time. This A.I.-generated data suggests there is a high statistical probability that if AIG jumps, then ORI could also see price increases.
| Ticker / NAME | Correlation To AIG | 1D Price Change % | ||
|---|---|---|---|---|
| AIG | 100% | -1.69% | ||
| ORI - AIG | 71% Closely correlated | -0.24% | ||
| HIG - AIG | 52% Loosely correlated | -0.97% | ||
| ACGL - AIG | 51% Loosely correlated | +0.33% | ||
| EQH - AIG | 51% Loosely correlated | -4.18% | ||
| PLGO - AIG | 35% Loosely correlated | -1.72% | ||
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A.I.dvisor indicates that over the last year, CMS has been closely correlated with DTE. These tickers have moved in lockstep 85% of the time. This A.I.-generated data suggests there is a high statistical probability that if CMS jumps, then DTE could also see price increases.