Bjorn Borg Stock Forecast - 4 Period Moving Average

BORG Stock  SEK 54.80  0.37  0.67%   
The 4 Period Moving Average forecasted value of Bjorn Borg AB on the next trading day is expected to be 55.23 with a mean absolute deviation of 0.96 and the sum of the absolute errors of 54.62. Bjorn Stock Forecast is based on your current time horizon.
  
A four-period moving average forecast model for Bjorn Borg AB is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

Bjorn Borg 4 Period Moving Average Price Forecast For the 24th of November

Given 90 days horizon, the 4 Period Moving Average forecasted value of Bjorn Borg AB on the next trading day is expected to be 55.23 with a mean absolute deviation of 0.96, mean absolute percentage error of 1.78, and the sum of the absolute errors of 54.62.
Please note that although there have been many attempts to predict Bjorn 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 Bjorn Borg's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Bjorn Borg Stock Forecast Pattern

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Bjorn Borg Forecasted Value

In the context of forecasting Bjorn Borg'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. Bjorn Borg's downside and upside margins for the forecasting period are 53.38 and 57.08, respectively. We have considered Bjorn Borg'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
54.80
55.23
Expected Value
57.08
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Bjorn Borg stock data series using in forecasting. Note that when a statistical model is used to represent Bjorn Borg 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 Criteria111.3367
BiasArithmetic mean of the errors 0.2392
MADMean absolute deviation0.9583
MAPEMean absolute percentage error0.0165
SAESum of the absolute errors54.6225
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of Bjorn Borg. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Bjorn Borg AB and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Bjorn Borg

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Bjorn Borg AB. 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
52.9554.8056.65
Details
Intrinsic
Valuation
LowRealHigh
54.7656.6158.46
Details
Bollinger
Band Projection (param)
LowMiddleHigh
54.5754.9255.27
Details

Other Forecasting Options for Bjorn Borg

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

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

Bjorn Borg AB 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 Bjorn Borg'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 Bjorn Borg's current price.

Bjorn Borg Market Strength Events

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

Bjorn Borg Risk Indicators

The analysis of Bjorn Borg'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 Bjorn Borg's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting bjorn 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.

Thematic Opportunities

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Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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Additional Tools for Bjorn Stock Analysis

When running Bjorn Borg's price analysis, check to measure Bjorn Borg'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 Bjorn Borg is operating at the current time. Most of Bjorn Borg's value examination focuses on studying past and present price action to predict the probability of Bjorn Borg's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Bjorn Borg's price. Additionally, you may evaluate how the addition of Bjorn Borg to your portfolios can decrease your overall portfolio volatility.