Corenergy Infras Stock Forecast - Polynomial Regression

CORRDelisted Stock  USD 1.16  0.05  4.13%   
The Polynomial Regression forecasted value of Corenergy Infras on the next trading day is expected to be 1.11 with a mean absolute deviation of 0.04 and the sum of the absolute errors of 2.29. Corenergy Stock Forecast is based on your current time horizon.
  
Corenergy Infras polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Corenergy Infras as well as the accuracy indicators are determined from the period prices.

Corenergy Infras Polynomial Regression Price Forecast For the 5th of December

Given 90 days horizon, the Polynomial Regression forecasted value of Corenergy Infras on the next trading day is expected to be 1.11 with a mean absolute deviation of 0.04, mean absolute percentage error of 0, and the sum of the absolute errors of 2.29.
Please note that although there have been many attempts to predict Corenergy Stock 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 Corenergy Infras' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Corenergy Infras Stock Forecast Pattern

Backtest Corenergy InfrasCorenergy Infras Price PredictionBuy or Sell Advice 

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 Corenergy Infras stock data series using in forecasting. Note that when a statistical model is used to represent Corenergy Infras stock, 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 Criteria111.9469
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0375
MAPEMean absolute percentage error0.0342
SAESum of the absolute errors2.2856
A single variable polynomial regression model attempts to put a curve through the Corenergy Infras 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 Corenergy Infras

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Corenergy Infras. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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.
Hype
Prediction
LowEstimatedHigh
1.161.161.16
Details
Intrinsic
Valuation
LowRealHigh
0.960.961.28
Details

View Corenergy Infras Related Equities

 Risk & Return  Correlation

Corenergy Infras Market Strength Events

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

Corenergy Infras Risk Indicators

The analysis of Corenergy Infras' 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 Corenergy Infras' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting corenergy stock 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 Corenergy Infras

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 Corenergy Infras 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 Corenergy Infras will appreciate offsetting losses from the drop in the long position's value.

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The ability to find closely correlated positions to Corenergy Infras could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Corenergy Infras 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 Corenergy Infras - 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 Corenergy Infras to buy it.
The correlation of Corenergy Infras 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 Corenergy Infras moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Corenergy Infras 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 Corenergy Infras 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
Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in metropolitan statistical area.
You can also try the Portfolio File Import module to quickly import all of your third-party portfolios from your local drive in csv format.

Other Consideration for investing in Corenergy Stock

If you are still planning to invest in Corenergy Infras check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Corenergy Infras' history and understand the potential risks before investing.
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