SEB SA Stock Forecast - Simple Regression

0MGS Stock   89.53  2.60  2.99%   
The Simple Regression forecasted value of SEB SA on the next trading day is expected to be 95.14 with a mean absolute deviation of 3.44 and the sum of the absolute errors of 209.89. SEB Stock Forecast is based on your current time horizon.
  
At this time, SEB SA's Cash is comparatively stable compared to the past year. Cash And Short Term Investments is likely to gain to about 2.9 B in 2024, whereas Short and Long Term Debt Total is likely to drop slightly above 2.2 B in 2024.
Simple Regression model is a single variable regression model that attempts to put a straight line through SEB SA 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.

SEB SA Simple Regression Price Forecast For the 25th of November

Given 90 days horizon, the Simple Regression forecasted value of SEB SA on the next trading day is expected to be 95.14 with a mean absolute deviation of 3.44, mean absolute percentage error of 17.02, and the sum of the absolute errors of 209.89.
Please note that although there have been many attempts to predict SEB 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 SEB SA's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

SEB SA Stock Forecast Pattern

Backtest SEB SASEB SA Price PredictionBuy or Sell Advice 

SEB SA Forecasted Value

In the context of forecasting SEB SA'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. SEB SA's downside and upside margins for the forecasting period are 93.14 and 97.14, respectively. We have considered SEB SA'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
89.53
95.14
Expected Value
97.14
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 SEB SA stock data series using in forecasting. Note that when a statistical model is used to represent SEB SA 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 Criteria120.9451
BiasArithmetic mean of the errors None
MADMean absolute deviation3.4408
MAPEMean absolute percentage error0.0359
SAESum of the absolute errors209.8913
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 SEB SA 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 SEB SA

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SEB SA. 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
85.4187.4189.41
Details
Intrinsic
Valuation
LowRealHigh
75.0577.0596.14
Details
Bollinger
Band Projection (param)
LowMiddleHigh
85.6987.9590.22
Details

Other Forecasting Options for SEB SA

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

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

SEB SA 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 SEB SA'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 SEB SA's current price.

SEB SA Market Strength Events

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

SEB SA Risk Indicators

The analysis of SEB SA'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 SEB SA's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting seb 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.

Additional Tools for SEB Stock Analysis

When running SEB SA's price analysis, check to measure SEB SA's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy SEB SA is operating at the current time. Most of SEB SA's value examination focuses on studying past and present price action to predict the probability of SEB SA's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SEB SA's price. Additionally, you may evaluate how the addition of SEB SA to your portfolios can decrease your overall portfolio volatility.