Union Materials Stock Forecast - 4 Period Moving Average

A four-period moving average forecast model for Union Materials Corp 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.

Union Materials 4 Period Moving Average Price Forecast For the 28th of November

Given 90 days horizon, the 4 Period Moving Average forecasted value of Union Materials Corp on the next trading day is expected to be 2,396 with a mean absolute deviation of 62.13, mean absolute percentage error of 6,058, and the sum of the absolute errors of 3,604.

Union Materials Stock Forecast Pattern

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Union Materials Price Prediction

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Union Materials Forecasted Value

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 Union Materials stock data series using in forecasting. Note that when a statistical model is used to represent Union Materials 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. 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 Union Materials. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Union Materials Corp and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Union Materials

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Union Materials Corp. 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 Low Estimated High 2,452 2,455 2,458 Details

Intrinsic Valuation Low Real High 2,366 2,369 2,700 Details

Other Forecasting Options for Union Materials

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

Union Materials Related Equities

Risk & Return

Correlation

Union Materials Corp 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 Union Materials' 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 Union Materials' current price.

Union Materials Market Strength Events

Union Materials Risk Indicators

Pair Trading with Union Materials

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Union Materials position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Union Materials will appreciate offsetting losses from the drop in the long position's value.

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