Build A Stock Forecast - 4 Period Moving Average

BBW Stock  USD 38.19  1.49  4.06%   
The 4 Period Moving Average forecasted value of Build A Bear Workshop on the next trading day is expected to be 37.34 with a mean absolute deviation of 0.94 and the sum of the absolute errors of 53.72. Build Stock Forecast is based on your current time horizon.
  
At this time, Build A's Inventory Turnover is fairly stable compared to the past year. Fixed Asset Turnover is likely to climb to 4.86 in 2024, whereas Payables Turnover is likely to drop 7.11 in 2024. . Common Stock Shares Outstanding is likely to climb to about 17.5 M in 2024. Net Income Applicable To Common Shares is likely to climb to about 57.9 M in 2024.
A four-period moving average forecast model for Build A Bear Workshop 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.

Build A 4 Period Moving Average Price Forecast For the 26th of November

Given 90 days horizon, the 4 Period Moving Average forecasted value of Build A Bear Workshop on the next trading day is expected to be 37.34 with a mean absolute deviation of 0.94, mean absolute percentage error of 1.32, and the sum of the absolute errors of 53.72.
Please note that although there have been many attempts to predict Build 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 Build A's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Build A Stock Forecast Pattern

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Build A Forecasted Value

In the context of forecasting Build A'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. Build A's downside and upside margins for the forecasting period are 34.06 and 40.62, respectively. We have considered Build A'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
38.19
37.34
Expected Value
40.62
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 Build A stock data series using in forecasting. Note that when a statistical model is used to represent Build A 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 Criteria111.0348
BiasArithmetic mean of the errors -0.2059
MADMean absolute deviation0.9425
MAPEMean absolute percentage error0.0271
SAESum of the absolute errors53.725
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 Build A. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Build A Bear Workshop and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Build A

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Build A Bear. 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
34.3637.6240.88
Details
Intrinsic
Valuation
LowRealHigh
30.3233.5842.01
Details
Bollinger
Band Projection (param)
LowMiddleHigh
36.2937.6939.10
Details
3 Analysts
Consensus
LowTargetHigh
36.1039.6744.03
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Build A. Your research has to be compared to or analyzed against Build A's peers to derive any actionable benefits. When done correctly, Build A'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 Build A Bear.

Other Forecasting Options for Build A

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

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 Risk & Return  Correlation

Build A Bear 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 Build A'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 Build A's current price.

Build A Market Strength Events

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

Build A Risk Indicators

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

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