Cna Financial Stock Technical Analysis
| CNA Stock | USD 47.78 0.08 0.17% |
As of the 1st of February, CNA Financial owns the coefficient of variation of 1048.27, and Market Risk Adjusted Performance of 0.4909. CNA Financial technical analysis gives you the methodology to make use of past data patterns to determine a pattern that approximates the direction of the firm's future prices.
CNA Financial Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as CNA, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CNACNA Financial's Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.CNA Financial Analyst Consensus
| Target Price | Advice | # of Analysts | |
| 44.0 | Hold | 1 | Odds |
Most CNA analysts issue ratings four times a year, at intervals of three months. Ratings are usually accompanied by a target price to helps potential investors understand CNA stock's fair price compared to its market value. Analysts arrive at stock ratings after researching public financial statements of CNA Financial, talking to its executives and customers, or listening to CNA conference calls.
Is Property & Casualty Insurance space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of CNA Financial. Projected growth potential of CNA fundamentally drives upward valuation adjustments. The financial industry is built on trying to define current growth potential and future valuation accurately. Comprehensive CNA Financial assessment requires weighing all these inputs, though not all factors influence outcomes equally.
Quarterly Earnings Growth 0.423 | Dividend Share 1.82 | Earnings Share 3.66 | Revenue Per Share | Quarterly Revenue Growth 0.055 |
Understanding CNA Financial requires distinguishing between market price and book value, where the latter reflects CNA's accounting equity. The concept of intrinsic value—what CNA Financial's is actually worth based on fundamentals—guides informed investors toward better entry and exit points. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Market sentiment, economic cycles, and investor behavior can push CNA Financial's price substantially above or below its fundamental value.
It's important to distinguish between CNA Financial's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding CNA Financial should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. In contrast, CNA Financial's trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.
CNA Financial 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to CNA Financial's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of CNA Financial.
| 11/03/2025 |
| 02/01/2026 |
If you would invest 0.00 in CNA Financial on November 3, 2025 and sell it all today you would earn a total of 0.00 from holding CNA Financial or generate 0.0% return on investment in CNA Financial over 90 days. CNA Financial is related to or competes with American Financial, Kinsale Capital, Renaissancere Holdings, Reinsurance Group, First Horizon, Unum, and Aegon NV. CNA Financial Corporation provides commercial property and casualty insurance products primarily in the United States More
CNA Financial Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure CNA Financial's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess CNA Financial upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.03 | |||
| Information Ratio | 0.0513 | |||
| Maximum Drawdown | 4.93 | |||
| Value At Risk | (1.80) | |||
| Potential Upside | 1.62 |
CNA Financial Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for CNA Financial's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as CNA Financial's standard deviation. In reality, there are many statistical measures that can use CNA Financial historical prices to predict the future CNA Financial's volatility.| Risk Adjusted Performance | 0.0719 | |||
| Jensen Alpha | 0.081 | |||
| Total Risk Alpha | 0.038 | |||
| Sortino Ratio | 0.0506 | |||
| Treynor Ratio | 0.4809 |
CNA Financial February 1, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0719 | |||
| Market Risk Adjusted Performance | 0.4909 | |||
| Mean Deviation | 0.7736 | |||
| Semi Deviation | 0.8701 | |||
| Downside Deviation | 1.03 | |||
| Coefficient Of Variation | 1048.27 | |||
| Standard Deviation | 1.02 | |||
| Variance | 1.04 | |||
| Information Ratio | 0.0513 | |||
| Jensen Alpha | 0.081 | |||
| Total Risk Alpha | 0.038 | |||
| Sortino Ratio | 0.0506 | |||
| Treynor Ratio | 0.4809 | |||
| Maximum Drawdown | 4.93 | |||
| Value At Risk | (1.80) | |||
| Potential Upside | 1.62 | |||
| Downside Variance | 1.07 | |||
| Semi Variance | 0.7571 | |||
| Expected Short fall | (0.82) | |||
| Skewness | (0.04) | |||
| Kurtosis | 0.2718 |
CNA Financial Backtested Returns
At this point, CNA Financial is very steady. CNA Financial retains Efficiency (Sharpe Ratio) of 0.15, which signifies that the company had a 0.15 % return per unit of risk over the last 3 months. We have found thirty technical indicators for CNA Financial, which you can use to evaluate the volatility of the firm. Please confirm CNA Financial's coefficient of variation of 1048.27, and Market Risk Adjusted Performance of 0.4909 to double-check if the risk estimate we provide is consistent with the expected return of 0.15%. CNA Financial has a performance score of 12 on a scale of 0 to 100. The firm owns a Beta (Systematic Risk) of 0.18, which signifies not very significant fluctuations relative to the market. As returns on the market increase, CNA Financial's returns are expected to increase less than the market. However, during the bear market, the loss of holding CNA Financial is expected to be smaller as well. CNA Financial at this time owns a risk of 0.99%. Please confirm CNA Financial mean deviation, standard deviation, treynor ratio, as well as the relationship between the downside deviation and total risk alpha , to decide if CNA Financial will be following its current price history.
Auto-correlation | -0.38 |
Poor reverse predictability
CNA Financial has poor reverse predictability. Overlapping area represents the amount of predictability between CNA Financial time series from 3rd of November 2025 to 18th of December 2025 and 18th of December 2025 to 1st of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of CNA Financial price movement. The serial correlation of -0.38 indicates that just about 38.0% of current CNA Financial price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.38 | |
| Spearman Rank Test | -0.16 | |
| Residual Average | 0.0 | |
| Price Variance | 0.5 |
CNA Financial technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
CNA Financial Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of CNA Financial volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About CNA Financial Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of CNA Financial on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of CNA Financial based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on CNA Financial price pattern first instead of the macroeconomic environment surrounding CNA Financial. By analyzing CNA Financial's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of CNA Financial's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to CNA Financial specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2024 | 2025 | 2026 (projected) | Dividend Yield | 0.0781 | 0.0703 | 0.0738 | Price To Sales Ratio | 0.94 | 0.84 | 0.6 |
CNA Financial February 1, 2026 Technical Indicators
Most technical analysis of CNA help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for CNA from various momentum indicators to cycle indicators. When you analyze CNA charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0719 | |||
| Market Risk Adjusted Performance | 0.4909 | |||
| Mean Deviation | 0.7736 | |||
| Semi Deviation | 0.8701 | |||
| Downside Deviation | 1.03 | |||
| Coefficient Of Variation | 1048.27 | |||
| Standard Deviation | 1.02 | |||
| Variance | 1.04 | |||
| Information Ratio | 0.0513 | |||
| Jensen Alpha | 0.081 | |||
| Total Risk Alpha | 0.038 | |||
| Sortino Ratio | 0.0506 | |||
| Treynor Ratio | 0.4809 | |||
| Maximum Drawdown | 4.93 | |||
| Value At Risk | (1.80) | |||
| Potential Upside | 1.62 | |||
| Downside Variance | 1.07 | |||
| Semi Variance | 0.7571 | |||
| Expected Short fall | (0.82) | |||
| Skewness | (0.04) | |||
| Kurtosis | 0.2718 |
CNA Financial February 1, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as CNA stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.01 | ||
| Daily Balance Of Power | (0.16) | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 47.64 | ||
| Day Typical Price | 47.69 | ||
| Price Action Indicator | 0.10 | ||
| Market Facilitation Index | 0.50 |
Complementary Tools for CNA Stock analysis
When running CNA Financial's price analysis, check to measure CNA Financial's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy CNA Financial is operating at the current time. Most of CNA Financial's value examination focuses on studying past and present price action to predict the probability of CNA Financial's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move CNA Financial's price. Additionally, you may evaluate how the addition of CNA Financial to your portfolios can decrease your overall portfolio volatility.
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