Union Materials Stock Forecast - 8 Period Moving Average

047400 Stock   2,390  40.00  1.65%   
The 8 Period Moving Average forecasted value of Union Materials Corp on the next trading day is expected to be 2,373 with a mean absolute deviation of 70.19 and the sum of the absolute errors of 3,790. Union Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Union Materials stock prices and determine the direction of Union Materials Corp's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Union Materials' historical fundamentals, such as revenue growth or operating cash flow patterns.
  
An 8-period moving average forecast model for Union Materials is based on an artificially constructed time series of Union Materials daily prices in which the value for a trading day is replaced by the mean of that value and the values for 8 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

Union Materials 8 Period Moving Average Price Forecast For the 1st of December

Given 90 days horizon, the 8 Period Moving Average forecasted value of Union Materials Corp on the next trading day is expected to be 2,373 with a mean absolute deviation of 70.19, mean absolute percentage error of 7,373, and the sum of the absolute errors of 3,790.
Please note that although there have been many attempts to predict Union 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 Union Materials' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Union Materials Stock Forecast Pattern

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Union Materials Forecasted Value

In the context of forecasting Union Materials' 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. Union Materials' downside and upside margins for the forecasting period are 2,370 and 2,376, respectively. We have considered Union Materials' 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
2,390
2,373
Expected Value
2,376
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 8 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.
AICAkaike Information Criteria114.151
BiasArithmetic mean of the errors -26.0648
MADMean absolute deviation70.1852
MAPEMean absolute percentage error0.0305
SAESum of the absolute errors3790.0
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. Union Materials Corp 8-period moving average forecast can only be used reliably to predict one or two periods into the future.

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
LowEstimatedHigh
2,3872,3902,393
Details
Intrinsic
Valuation
LowRealHigh
1,9601,9622,629
Details
Bollinger
Band Projection (param)
LowMiddleHigh
2,2242,3462,469
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

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 Union Materials stock to make a market-neutral strategy. Peer analysis of Union Materials could also be used in its relative valuation, which is a method of valuing Union Materials by comparing valuation metrics with similar companies.
 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

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

Union Materials Risk Indicators

The analysis of Union Materials' 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 Union Materials' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting union 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.

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.
The ability to find closely correlated positions to Union Materials could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Union Materials when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Union Materials - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Union Materials Corp to buy it.
The correlation of Union Materials is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Union Materials moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Union Materials Corp moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Union Materials can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Other Information on Investing in Union Stock

Union Materials financial ratios help investors to determine whether Union Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Union with respect to the benefits of owning Union Materials security.