Magnora ASA Stock Forecast - Simple Regression

MGN Stock   25.90  1.05  4.23%   
The Simple Regression forecasted value of Magnora ASA on the next trading day is expected to be 24.76 with a mean absolute deviation of 0.67 and the sum of the absolute errors of 41.80. Magnora Stock Forecast is based on your current time horizon.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through Magnora ASA 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.

Magnora ASA Simple Regression Price Forecast For the 14th of December 2024

Given 90 days horizon, the Simple Regression forecasted value of Magnora ASA on the next trading day is expected to be 24.76 with a mean absolute deviation of 0.67, mean absolute percentage error of 0.62, and the sum of the absolute errors of 41.80.
Please note that although there have been many attempts to predict Magnora 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 Magnora ASA's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Magnora ASA Stock Forecast Pattern

Backtest Magnora ASAMagnora ASA Price PredictionBuy or Sell Advice 

Magnora ASA Forecasted Value

In the context of forecasting Magnora ASA's Stock 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. Magnora ASA's downside and upside margins for the forecasting period are 22.78 and 26.74, respectively. We have considered Magnora ASA'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
25.90
24.76
Expected Value
26.74
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 Magnora ASA stock data series using in forecasting. Note that when a statistical model is used to represent Magnora ASA 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 Criteria119.4769
BiasArithmetic mean of the errors None
MADMean absolute deviation0.6742
MAPEMean absolute percentage error0.0286
SAESum of the absolute errors41.8016
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 Magnora ASA 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 Magnora ASA

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Magnora ASA. 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
23.9225.9027.88
Details
Intrinsic
Valuation
LowRealHigh
23.0024.9826.96
Details

Other Forecasting Options for Magnora ASA

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

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

Magnora ASA Technical and Predictive Analytics

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

Magnora ASA Market Strength Events

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

Magnora ASA Risk Indicators

The analysis of Magnora ASA'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 Magnora ASA's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting magnora 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.

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Other Information on Investing in Magnora Stock

Magnora ASA financial ratios help investors to determine whether Magnora 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 Magnora with respect to the benefits of owning Magnora ASA security.