Arch Resources Stock Forecast - Simple Regression

ACCA Stock  EUR 130.20  0.00  0.00%   
The Simple Regression forecasted value of Arch Resources on the next trading day is expected to be 144.46 with a mean absolute deviation of 11.24 and the sum of the absolute errors of 685.90. Arch Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Arch Resources' historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through Arch Resources price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Arch Resources Simple Regression Price Forecast For the 24th of January

Given 90 days horizon, the Simple Regression forecasted value of Arch Resources on the next trading day is expected to be 144.46 with a mean absolute deviation of 11.24, mean absolute percentage error of 154.74, and the sum of the absolute errors of 685.90.
Please note that although there have been many attempts to predict Arch 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 Arch Resources' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Arch Resources Stock Forecast Pattern

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Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Arch Resources stock data series using in forecasting. Note that when a statistical model is used to represent Arch 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 Criteria123.1523
BiasArithmetic mean of the errors None
MADMean absolute deviation11.2443
MAPEMean absolute percentage error0.0777
SAESum of the absolute errors685.9049
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Arch Resources historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Arch 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 Arch 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
130.20130.20130.20
Details
Intrinsic
Valuation
LowRealHigh
117.18139.05139.05
Details
Bollinger
Band Projection (param)
LowMiddleHigh
121.83146.68171.52
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Arch Resources. Your research has to be compared to or analyzed against Arch Resources' peers to derive any actionable benefits. When done correctly, Arch Resources' competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Arch Resources.

Arch Resources Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Arch Resources stock to make a market-neutral strategy. Peer analysis of Arch Resources could also be used in its relative valuation, which is a method of valuing Arch Resources by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Arch Resources Market Strength Events

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

Currently Active Assets on Macroaxis

Other Information on Investing in Arch Stock

Arch Resources financial ratios help investors to determine whether Arch Stock 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 Arch with respect to the benefits of owning Arch Resources security.