SSAB AB Pink Sheet Forecast - Simple Regression

SSAAF Stock  USD 5.07  0.00  0.00%   
The Simple Regression forecasted value of SSAB AB on the next trading day is expected to be 5.06 with a mean absolute deviation of 0.25 and the sum of the absolute errors of 15.02. SSAB Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of SSAB AB's 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 SSAB AB 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.

SSAB AB Simple Regression Price Forecast For the 29th of November

Given 90 days horizon, the Simple Regression forecasted value of SSAB AB on the next trading day is expected to be 5.06 with a mean absolute deviation of 0.25, mean absolute percentage error of 0.09, and the sum of the absolute errors of 15.02.
Please note that although there have been many attempts to predict SSAB Pink Sheet 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 SSAB AB's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

SSAB AB Pink Sheet Forecast Pattern

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SSAB AB Forecasted Value

In the context of forecasting SSAB AB's Pink Sheet 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. SSAB AB's downside and upside margins for the forecasting period are 1.92 and 8.20, respectively. We have considered SSAB AB's 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
5.07
5.06
Expected Value
8.20
Upside

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 SSAB AB pink sheet data series using in forecasting. Note that when a statistical model is used to represent SSAB AB pink sheet, 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 Criteria115.71
BiasArithmetic mean of the errors None
MADMean absolute deviation0.2463
MAPEMean absolute percentage error0.05
SAESum of the absolute errors15.0244
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 SSAB AB 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 SSAB AB

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SSAB AB. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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
1.935.078.21
Details
Intrinsic
Valuation
LowRealHigh
1.624.767.90
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as SSAB AB. Your research has to be compared to or analyzed against SSAB AB's peers to derive any actionable benefits. When done correctly, SSAB AB's 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 SSAB AB.

Other Forecasting Options for SSAB AB

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

SSAB AB 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 SSAB AB pink sheet to make a market-neutral strategy. Peer analysis of SSAB AB could also be used in its relative valuation, which is a method of valuing SSAB AB by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

SSAB AB Technical and Predictive Analytics

The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of SSAB AB's 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 SSAB AB's current price.

SSAB AB Market Strength Events

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

SSAB AB Risk Indicators

The analysis of SSAB AB's 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 SSAB AB's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ssab pink sheet 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.

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Other Information on Investing in SSAB Pink Sheet

SSAB AB financial ratios help investors to determine whether SSAB Pink Sheet 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 SSAB with respect to the benefits of owning SSAB AB security.