Comerica Stock Market Value
| CMA Stock | USD 52.64 0.03 0.06% |
| Symbol | Comerica |
Comerica Price To Book Ratio
Is Comerica'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 Comerica. If investors know Comerica 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 Comerica 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 (0.59) | Dividend Share 2.84 | Earnings Share 5.03 | Revenue Per Share 25.061 | Quarterly Revenue Growth (0.20) |
The market value of Comerica is measured differently than its book value, which is the value of Comerica that is recorded on the company's balance sheet. Investors also form their own opinion of Comerica's value that differs from its market value or its book value, called intrinsic value, which is Comerica'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 Comerica's market value can be influenced by many factors that don't directly affect Comerica'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 Comerica's value and its price as these two are different measures arrived at by different means. Investors typically determine if Comerica is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Comerica'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.
Comerica '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 Comerica'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 Comerica.
| 01/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Comerica on January 25, 2024 and sell it all today you would earn a total of 0.00 from holding Comerica or generate 0.0% return on investment in Comerica over 90 days. Comerica is related to or competes with HMN Financial, Lake Shore, and Rhinebeck Bancorp. Comerica Incorporated, through its subsidiaries, provides various financial products and services More
Comerica 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 Comerica'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 Comerica upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.3 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 9.93 | |||
| Value At Risk | (3.33) | |||
| Potential Upside | 2.56 |
Comerica Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Comerica's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Comerica's standard deviation. In reality, there are many statistical measures that can use Comerica historical prices to predict the future Comerica's volatility.| Risk Adjusted Performance | 0.0224 | |||
| Jensen Alpha | (0.10) | |||
| Total Risk Alpha | (0.22) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0224 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Comerica'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.
Comerica Backtested Returns
Comerica secures Sharpe Ratio (or Efficiency) of -0.0132, which signifies that the company had a -0.0132% return per unit of risk over the last 3 months. Comerica exposes twenty-eight different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Comerica's Risk Adjusted Performance of 0.0224, mean deviation of 1.5, and Downside Deviation of 2.3 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 1.79, which signifies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Comerica will likely underperform. Comerica has an expected return of -0.0269%. Please make sure to confirm Comerica treynor ratio, downside variance, and the relationship between the total risk alpha and value at risk , to decide if Comerica performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.27 |
Weak reverse predictability
Comerica has weak reverse predictability. Overlapping area represents the amount of predictability between Comerica time series from 25th of January 2024 to 10th of March 2024 and 10th of March 2024 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 Comerica price movement. The serial correlation of -0.27 indicates that nearly 27.0% of current Comerica price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.27 | |
| Spearman Rank Test | -0.08 | |
| Residual Average | 0.0 | |
| Price Variance | 2.44 |
Comerica lagged returns against current returns
Autocorrelation, which is Comerica 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 Comerica's stock expected returns. We can calculate the autocorrelation of Comerica returns to help us make a trade decision. For example, suppose you find that Comerica 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 |
Comerica 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 Comerica stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Comerica stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Comerica stock over time.
Current vs Lagged Prices |
| Timeline |
Comerica Lagged Returns
When evaluating Comerica's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Comerica stock have on its future price. Comerica 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, Comerica autocorrelation shows the relationship between Comerica stock current value and its past values and can show if there is a momentum factor associated with investing in Comerica.
Regressed Prices |
| Timeline |
Pair Trading with Comerica
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 Comerica 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 Comerica will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Comerica could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Comerica 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 Comerica - 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 Comerica to buy it.
The correlation of Comerica 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 Comerica moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Comerica 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 Comerica 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.Check out Comerica Correlation, Comerica Volatility and Comerica Alpha and Beta module to complement your research on Comerica. For information on how to trade Comerica Stock refer to our How to Trade Comerica Stock guide.You can also try the Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
Complementary Tools for Comerica Stock analysis
When running Comerica's price analysis, check to measure Comerica'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 Comerica is operating at the current time. Most of Comerica's value examination focuses on studying past and present price action to predict the probability of Comerica's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Comerica's price. Additionally, you may evaluate how the addition of Comerica to your portfolios can decrease your overall portfolio volatility.
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Comerica 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.