Cullenfrost Bankers Stock Overlap Studies Kaufman Adaptive Moving Average
| CFR Stock | USD 142.91 1.01 0.70% |
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The output start index for this execution was four with a total number of output elements of fifty-seven. The Kaufman Adaptive Moving Average allows the user to define CullenFrost Bankers range across which they want the smoothing.
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.| Cycle Indicators | ||
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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 overlap studies 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 Yield | 0.0244 | 0.0252 | 0.0336 | 0.021 | Price To Sales Ratio | 5.85 | 38.92 | 3.67 | 3.6 |
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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.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.