Baikowski SASU Stock Forecast - 4 Period Moving Average

ALBKK Stock  EUR 16.40  0.20  1.20%   
The 4 Period Moving Average forecasted value of Baikowski SASU on the next trading day is expected to be 16.52 with a mean absolute deviation of 0.26 and the sum of the absolute errors of 14.88. Baikowski Stock Forecast is based on your current time horizon.
  
A four-period moving average forecast model for Baikowski SASU 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.

Baikowski SASU 4 Period Moving Average Price Forecast For the 24th of November

Given 90 days horizon, the 4 Period Moving Average forecasted value of Baikowski SASU on the next trading day is expected to be 16.52 with a mean absolute deviation of 0.26, mean absolute percentage error of 0.13, and the sum of the absolute errors of 14.88.
Please note that although there have been many attempts to predict Baikowski 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 Baikowski SASU's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Baikowski SASU Stock Forecast Pattern

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Baikowski SASU Forecasted Value

In the context of forecasting Baikowski SASU'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. Baikowski SASU's downside and upside margins for the forecasting period are 14.23 and 18.82, respectively. We have considered Baikowski SASU'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
16.40
16.52
Expected Value
18.82
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 Baikowski SASU stock data series using in forecasting. Note that when a statistical model is used to represent Baikowski SASU 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 Criteria110.5425
BiasArithmetic mean of the errors 0.0289
MADMean absolute deviation0.2565
MAPEMean absolute percentage error0.0153
SAESum of the absolute errors14.875
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 Baikowski SASU. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Baikowski SASU and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Baikowski SASU

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Baikowski SASU. 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
14.3116.6018.89
Details
Intrinsic
Valuation
LowRealHigh
11.7814.0718.26
Details
Bollinger
Band Projection (param)
LowMiddleHigh
16.1716.8517.53
Details

Other Forecasting Options for Baikowski SASU

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

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

Baikowski SASU 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 Baikowski SASU'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 Baikowski SASU's current price.

Baikowski SASU Market Strength Events

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

Baikowski SASU Risk Indicators

The analysis of Baikowski SASU'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 Baikowski SASU's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting baikowski 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 Baikowski Stock Analysis

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