Babcock Wilcox Stock Forecast - Naive Prediction

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BW -- USA Stock  

USD 2.26  0.01  0.44%

Babcock Wilcox Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Babcock Wilcox historical stock prices and determine the direction of Babcock Wilcox Enterprises's future trends based on various well-known forecasting models. However, solely looking at the historical price movement is usually misleading. Macroaxis recommends to always use this module together with analysis of Babcock Wilcox historical fundamentals such as revenue growth or operating cash flow patterns. Although Babcock Wilcox naive historical forecasting may sometimes provide an important future outlook for the firm we recommend to always cross-verify it against solid analysis of Babcock Wilcox Enterprises systematic risk associated with finding meaningful patterns of Babcock Wilcox fundamentals over time. Continue to Historical Fundamental Analysis of Babcock Wilcox to cross-verify your projections.

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Babcock Wilcox PPandE Turnover is fairly stable at the moment as compared to the past year. Babcock Wilcox reported PPandE Turnover of 10.50 in 2019. Receivables Turnover is likely to grow to 4.76 in 2020, whereas Inventory Turnover is likely to drop 14.49 in 2020. . Babcock Wilcox Weighted Average Shares is fairly stable at the moment as compared to the past year. Babcock Wilcox reported Weighted Average Shares of 31.51 Million in 2019. Weighted Average Shares Diluted is likely to grow to about 34 M in 2020, whereas Issuance Purchase of Equity Shares is likely to drop slightly above 41.3 M in 2020.
A naive forecasting model for Babcock Wilcox is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Babcock Wilcox Enterprises value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Babcock Wilcox Naive Prediction Price Forecast For the 13th of July 2020

Given 30 days horizon, the forecasted value of Babcock Wilcox Enterprises on the next trading day is expected to be  2.46  with a mean absolute deviation of  0.13 , mean absolute percentage error of  0.028595 , and the sum of the absolute errors of  7.65 

Babcock Wilcox Stock Forecast Pattern

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Babcock Wilcox Forecasted Value

Market Value
12th of July 2020
Expected Value

Model Predictive Factors

AICAkaike Information Criteria114.556
BiasArithmetic mean of the errors None
MADMean absolute deviation0.1254
MAPEMean absolute percentage error0.0801
SAESum of the absolute errors7.6519
This model is not at all useful as a medium-long range forecasting tool of Babcock Wilcox Enterprises. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Babcock Wilcox. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Babcock Wilcox

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Babcock Wilcox Enter. 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.
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Babcock Wilcox Pair Correlation

Equities Pair Trading Analysis

Correlation analysis and pair trading evaluation for Babcock Wilcox and Bloom Energy. Pair trading can be used as a hedging technique within a particular sector or industry or even over random equities to generate better risk-adjusted return
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Continue to Historical Fundamental Analysis of Babcock Wilcox to cross-verify your projections. Please also try Pattern Recognition module to use different pattern recognition models to time the market across multiple global exchanges.
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