Cohen Steers Fund Forecast - Polynomial Regression

LDP Fund  USD 21.29  0.02  0.09%   
The Polynomial Regression forecasted value of Cohen Steers Limited on the next trading day is expected to be 21.37 with a mean absolute deviation of 0.14 and the sum of the absolute errors of 8.63. Cohen Fund Forecast is based on your current time horizon.
  
Cohen Steers polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Cohen Steers Limited as well as the accuracy indicators are determined from the period prices.

Cohen Steers Polynomial Regression Price Forecast For the 4th of December

Given 90 days horizon, the Polynomial Regression forecasted value of Cohen Steers Limited on the next trading day is expected to be 21.37 with a mean absolute deviation of 0.14, mean absolute percentage error of 0.03, and the sum of the absolute errors of 8.63.
Please note that although there have been many attempts to predict Cohen Fund prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Cohen Steers' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Cohen Steers Fund Forecast Pattern

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Cohen Steers Forecasted Value

In the context of forecasting Cohen Steers' Fund value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Cohen Steers' downside and upside margins for the forecasting period are 20.70 and 22.03, respectively. We have considered Cohen Steers' daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
21.29
21.37
Expected Value
22.03
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Cohen Steers fund data series using in forecasting. Note that when a statistical model is used to represent Cohen Steers fund, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.
AICAkaike Information Criteria114.7291
BiasArithmetic mean of the errors None
MADMean absolute deviation0.1414
MAPEMean absolute percentage error0.0067
SAESum of the absolute errors8.6277
A single variable polynomial regression model attempts to put a curve through the Cohen Steers historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Cohen Steers

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Cohen Steers Limited. Regardless of method or technology, however, to accurately forecast the fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the fund market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Cohen Steers' 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
20.6421.3121.98
Details
Intrinsic
Valuation
LowRealHigh
20.5221.1921.86
Details
Bollinger
Band Projection (param)
LowMiddleHigh
20.8421.0421.24
Details

Other Forecasting Options for Cohen Steers

For every potential investor in Cohen, whether a beginner or expert, Cohen Steers' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Cohen Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Cohen. Basic forecasting techniques help filter out the noise by identifying Cohen Steers' price trends.

View Cohen Steers Related Equities

 Risk & Return  Correlation

Cohen Steers Limited Technical and Predictive Analytics

The fund market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Cohen Steers' price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Cohen Steers' current price.

Cohen Steers Market Strength Events

Market strength indicators help investors to evaluate how Cohen Steers fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Cohen Steers shares will generate the highest return on investment. By undertsting and applying Cohen Steers fund market strength indicators, traders can identify Cohen Steers Limited entry and exit signals to maximize returns.

Cohen Steers Risk Indicators

The analysis of Cohen Steers' basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Cohen Steers' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting cohen fund prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Pair Trading with Cohen Steers

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.

Moving together with Cohen Fund

  0.77ETJ Eaton Vance RiskPairCorr

Moving against Cohen Fund

  0.75GUT Gabelli Utility ClosedPairCorr
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 Limited 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 Limited 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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