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ATT Stock Forecast - 4 Period Moving Average

<div class='circular--portrait' style='background:#8A0CCF;color: white;font-size:3em;padding-top: 40px;;'>ATT</div>
T -- USA Stock  

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ATT Stock Forecast is based on your current time horizon. Investors can use this prediction interface to forecast ATT historic stock prices and determine the direction of ATT future trends based on various well-known forecasting models. However, looking at historical price movement exclusively is usually misleading. Macroaxis recommends to always use this module together with analysis of ATT historical fundamentals such as revenue growth or operating cash flow patterns. Although ATT naive historical forecasting may sometimes provide an important future outlook for the firm we recommend to always cross-verify it against solid analysis of ATT systematic risks associated with finding meaningful patterns of ATT fundamentals over time. Additionally, take a look at Historical Fundamental Analysis of ATT to cross-verify your projections.
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ATT Receivables Turnover is comparatively stable at the moment as compared to the last year. ATT reported Receivables Turnover of 7.38 in 2019. Accounts Payable Turnover is likely to grow to 7.33 in 2020, whereas PPandE Turnover is likely to drop 1.26 in 2020. . Weighted Average Shares is likely to drop to about 7.3 B in 2020. Also, weighted Average Shares Diluted is likely to drop to about 6.4 B in 2020.
A four-period moving average forecast model for ATT 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.
Given 30 days horizon, the forecasted value of ATT on the next trading day is expected to be  29.67  with a mean absolute deviation of  0.92 , mean absolute percentage error of  1.95 , and the sum of the absolute errors of  52.39 
 29.67 

ATT Stock Forecast Pattern

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ATT Forecasted Value

Market Value
29.84
March 28, 2020
29.67
Expected Value
39.72
Upside

Model Predictive Factors

AICAkaike Information Criteria111.4277
BiasArithmetic mean of the errors 0.4123
MADMean absolute deviation0.9191
MAPEMean absolute percentage error0.0278
SAESum of the absolute errors52.3875
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 ATT. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for ATT and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Volatility Measures

ATT Risk Indicators

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Additionally, take a look at Historical Fundamental Analysis of ATT to cross-verify your projections. Please also try Financial Widgets module to easily integrated macroaxis content with over 30 different plug-and-play financial widgets.
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