Cohen Steers Reit Fund Statistic Functions Beta

RNP Fund  USD 22.87  0.09  0.39%   
Cohen Steers statistic functions tool provides the execution environment for running the Beta function and other technical functions against Cohen Steers. Cohen Steers 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. Cohen Steers 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.

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The function did not generate any output. Please change time horizon or modify your input parameters. The output start index for this execution was one with a total number of output elements of sixty. The Beta measures systematic risk based on how returns on Cohen Steers Reit correlated with the market. If Beta is less than 0 Cohen Steers generally moves in the opposite direction as compared to the market. If Cohen Steers Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Cohen Steers Reit is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Cohen Steers is generally in the same direction as the market. If Beta > 1 Cohen Steers moves generally in the same direction as, but more than the movement of the benchmark.

Cohen Steers Technical Analysis Modules

Most technical analysis of Cohen Steers 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 Cohen from various momentum indicators to cycle indicators. When you analyze Cohen 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 Cohen Steers 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 Cohen Steers Reit. We use our internally-developed statistical techniques to arrive at the intrinsic value of Cohen Steers Reit based on widely used predictive technical indicators. In general, we focus on analyzing Cohen Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Cohen Steers'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 Cohen Steers's intrinsic value. In addition to deriving basic predictive indicators for Cohen Steers, we also check how macroeconomic factors affect Cohen Steers price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
21.8122.8823.95
Details
Intrinsic
Valuation
LowRealHigh
21.8522.9223.99
Details

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Cohen Steers Reit 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 Cohen Steers 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 Cohen Steers will appreciate offsetting losses from the drop in the long position's value.

Cohen Steers Pair Trading

Cohen Steers Reit Pair Trading Analysis

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

Other Information on Investing in Cohen Fund

Cohen Steers financial ratios help investors to determine whether Cohen Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Cohen with respect to the benefits of owning Cohen Steers security.
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