SilverBow Resources Stock Forecast - Polynomial Regression

The Polynomial Regression forecasted value of SilverBow Resources on the next trading day is expected to be 19.94 with a mean absolute deviation of 3.38 and the sum of the absolute errors of 206.39. SilverBow Stock Forecast is based on your current time horizon.
  
SilverBow Resources polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for SilverBow Resources as well as the accuracy indicators are determined from the period prices.

SilverBow Resources Polynomial Regression Price Forecast For the 27th of November

Given 90 days horizon, the Polynomial Regression forecasted value of SilverBow Resources on the next trading day is expected to be 19.94 with a mean absolute deviation of 3.38, mean absolute percentage error of 29.79, and the sum of the absolute errors of 206.39.
Please note that although there have been many attempts to predict SilverBow 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 SilverBow Resources' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

SilverBow Resources Stock Forecast Pattern

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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 SilverBow Resources stock data series using in forecasting. Note that when a statistical model is used to represent SilverBow Resources 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 Criteria121.5048
BiasArithmetic mean of the errors None
MADMean absolute deviation3.3834
MAPEMean absolute percentage error9.223372036854776E14
SAESum of the absolute errors206.3872
A single variable polynomial regression model attempts to put a curve through the SilverBow Resources 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 SilverBow Resources

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SilverBow Resources. 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
0.000.000.00
Details
Intrinsic
Valuation
LowRealHigh
0.000.000.00
Details
Bollinger
Band Projection (param)
LowMiddleHigh
3.3331.7160.09
Details

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SilverBow Resources Risk Indicators

The analysis of SilverBow Resources' 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 SilverBow Resources' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting silverbow 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.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
Check out World Market Map 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 persons.
You can also try the Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.

Other Consideration for investing in SilverBow Stock

If you are still planning to invest in SilverBow Resources 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 SilverBow Resources' history and understand the potential risks before investing.
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