Cullenfrost Bankers Stock Statistic Functions Beta

CFR Stock  USD 142.32  2.79  2.00%   
CullenFrost Bankers statistic functions tool provides the execution environment for running the Beta function and other technical functions against CullenFrost Bankers. CullenFrost Bankers value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of statistic functions indicators. As with most other technical indicators, the Beta function function is designed to identify and follow existing trends. CullenFrost Bankers statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period to run this model.

The output start index for this execution was three with a total number of output elements of fifty-eight. The Beta measures systematic risk based on how returns on CullenFrost Bankers correlated with the market. If Beta is less than 0 CullenFrost Bankers generally moves in the opposite direction as compared to the market. If CullenFrost Bankers Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one CullenFrost Bankers is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of CullenFrost Bankers is generally in the same direction as the market. If Beta > 1 CullenFrost Bankers moves generally in the same direction as, but more than the movement of the benchmark.

CullenFrost Bankers Technical Analysis Modules

Most technical analysis of CullenFrost Bankers 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 CullenFrost from various momentum indicators to cycle indicators. When you analyze CullenFrost charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

About CullenFrost Bankers Predictive Technical Analysis

Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of CullenFrost Bankers. We use our internally-developed statistical techniques to arrive at the intrinsic value of CullenFrost Bankers based on widely used predictive technical indicators. In general, we focus on analyzing CullenFrost Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build CullenFrost Bankers's daily price indicators and compare them against related drivers, such as statistic functions and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of CullenFrost Bankers's intrinsic value. In addition to deriving basic predictive indicators for CullenFrost Bankers, we also check how macroeconomic factors affect CullenFrost Bankers price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2021 2022 2023 2024 (projected)
Dividend Yield0.02440.02520.03360.021
Price To Sales Ratio5.8538.923.673.6
Hype
Prediction
LowEstimatedHigh
140.53142.82145.11
Details
Intrinsic
Valuation
LowRealHigh
132.02134.31156.55
Details
Naive
Forecast
LowNextHigh
137.35139.64141.93
Details
15 Analysts
Consensus
LowTargetHigh
100.95110.93123.13
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as CullenFrost Bankers. Your research has to be compared to or analyzed against CullenFrost Bankers' peers to derive any actionable benefits. When done correctly, CullenFrost Bankers' 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 CullenFrost Bankers.

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As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.

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CullenFrost Bankers pair trading

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 CullenFrost Bankers 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 CullenFrost Bankers will appreciate offsetting losses from the drop in the long position's value.

CullenFrost Bankers Pair Trading

CullenFrost Bankers Pair Trading Analysis

The ability to find closely correlated positions to CullenFrost Bankers could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace CullenFrost Bankers 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 CullenFrost Bankers - 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 CullenFrost Bankers to buy it.
The correlation of CullenFrost Bankers 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 CullenFrost Bankers moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if CullenFrost Bankers 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 CullenFrost Bankers 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

Additional Tools for CullenFrost Stock Analysis

When running CullenFrost Bankers' price analysis, check to measure CullenFrost Bankers' 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 CullenFrost Bankers is operating at the current time. Most of CullenFrost Bankers' value examination focuses on studying past and present price action to predict the probability of CullenFrost Bankers' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move CullenFrost Bankers' price. Additionally, you may evaluate how the addition of CullenFrost Bankers to your portfolios can decrease your overall portfolio volatility.