Cna Financial Stock Market Value

CNA Stock  USD 44.19  0.37  0.83%   
CNA Financial's market value is the price at which a share of CNA Financial trades on a public exchange. It measures the collective expectations of CNA Financial investors about its performance. CNA Financial is trading at 44.19 as of the 24th of April 2024, a -0.83 percent decrease since the beginning of the trading day. The stock's open price was 44.56.
With this module, you can estimate the performance of a buy and hold strategy of CNA Financial and determine expected loss or profit from investing in CNA Financial over a given investment horizon. Check out CNA Financial Correlation, CNA Financial Volatility and CNA Financial Alpha and Beta module to complement your research on CNA Financial.
For information on how to trade CNA Stock refer to our How to Trade CNA Stock guide.
Symbol

CNA Financial Price To Book Ratio

Is CNA Financial's industry 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. If investors know CNA will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about CNA Financial listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
0.532
Dividend Share
1.68
Earnings Share
4.43
Revenue Per Share
49.02
Quarterly Revenue Growth
0.127
The market value of CNA Financial is measured differently than its book value, which is the value of CNA that is recorded on the company's balance sheet. Investors also form their own opinion of CNA Financial's value that differs from its market value or its book value, called intrinsic value, which is CNA Financial's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because CNA Financial's market value can be influenced by many factors that don't directly affect CNA Financial's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between CNA Financial's value and its price as these two are different measures arrived at by different means. Investors typically determine if CNA Financial is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, CNA Financial's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

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.
0.00
05/05/2022
No Change 0.00  0.0 
In 1 year 11 months and 21 days
04/24/2024
0.00
If you would invest  0.00  in CNA Financial on May 5, 2022 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 720 days. CNA Financial is related to or competes with Thrivent High, Morningstar Unconstrained, Via Renewables, T Rowe, and 70082LAB3. 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.

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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of CNA Financial's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
42.7144.1945.67
Details
Intrinsic
Valuation
LowRealHigh
41.7643.2444.72
Details
3 Analysts
Consensus
LowTargetHigh
38.2242.0046.62
Details
Earnings
Estimates (0)
LowProjected EPSHigh
1.321.391.44
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as CNA Financial. Your research has to be compared to or analyzed against CNA Financial's peers to derive any actionable benefits. When done correctly, CNA Financial's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in CNA Financial.

CNA Financial Backtested Returns

We consider CNA Financial very steady. CNA Financial retains Efficiency (Sharpe Ratio) of 0.0122, which signifies that the company had a 0.0122% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for CNA Financial, which you can use to evaluate the volatility of the firm. Please confirm CNA Financial's market risk adjusted performance of 0.3376, and Coefficient Of Variation of 1880.79 to double-check if the risk estimate we provide is consistent with the expected return of 0.018%. The firm owns a Beta (Systematic Risk) of 0.21, 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 1.48%. Please confirm CNA Financial information ratio, treynor ratio, and the relationship between the downside deviation and total risk alpha , to decide if CNA Financial will be following its current price history.

Auto-correlation

    
  -0.04  

Very weak reverse predictability

CNA Financial has very weak reverse predictability. Overlapping area represents the amount of predictability between CNA Financial time series from 5th of May 2022 to 30th of April 2023 and 30th of April 2023 to 24th of April 2024. 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 -0.04 indicates that only as little as 4.0% of current CNA Financial price fluctuation can be explain by its past prices.
Correlation Coefficient-0.04
Spearman Rank Test-0.21
Residual Average0.0
Price Variance7.26

CNA Financial lagged returns against current returns

Autocorrelation, which is CNA Financial stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting CNA Financial's stock expected returns. We can calculate the autocorrelation of CNA Financial returns to help us make a trade decision. For example, suppose you find that CNA Financial has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
   Current and Lagged Values   
       Timeline  

CNA Financial regressed lagged prices vs. current prices

Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If CNA Financial stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if CNA Financial stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in CNA Financial stock over time.
   Current vs Lagged Prices   
       Timeline  

CNA Financial Lagged Returns

When evaluating CNA Financial's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of CNA Financial stock have on its future price. CNA Financial autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, CNA Financial autocorrelation shows the relationship between CNA Financial stock current value and its past values and can show if there is a momentum factor associated with investing in CNA Financial.
   Regressed Prices   
       Timeline  

CNA Financial Investors Sentiment

The influence of CNA Financial's investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in CNA. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock market does not have solid backing from leading economists and market statisticians.
Investor biases related to CNA Financial's public news can be used to forecast risks associated with an investment in CNA. The trend in average sentiment can be used to explain how an investor holding CNA can time the market purely based on public headlines and social activities around CNA Financial. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
CNA Financial's market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for CNA Financial's and other traded tickers. The bigger the bubble, the more accurate is the estimated score. Higher bars for a given day show more participation in the average CNA Financial's news discussions. The higher the estimated score, the more favorable is the investor's outlook on CNA Financial.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards CNA Financial in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, CNA Financial's short interest history, or implied volatility extrapolated from CNA Financial options trading.

Pair Trading with CNA Financial

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if CNA Financial position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in CNA Financial will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to CNA Financial could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace CNA Financial when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back CNA Financial - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling CNA Financial to buy it.
The correlation of CNA Financial is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as CNA Financial moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if CNA Financial moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for CNA Financial can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching
When determining whether CNA Financial offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of CNA Financial's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Cna Financial Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Cna Financial Stock:
Check out CNA Financial Correlation, CNA Financial Volatility and CNA Financial Alpha and Beta module to complement your research on CNA Financial.
For information on how to trade CNA Stock refer to our How to Trade CNA Stock guide.
You can also try the Equity Search module to search for actively traded equities including funds and ETFs from over 30 global markets.

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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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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.
A focus of CNA Financial technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of CNA Financial trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...