BAE Systems Pink Sheet Forecast - 4 Period Moving Average

BAESY Stock  USD 62.44  2.75  4.22%   
The 4 Period Moving Average forecasted value of BAE Systems PLC on the next trading day is expected to be 63.79 with a mean absolute deviation of 1.43 and the sum of the absolute errors of 81.26. BAE Pink Sheet Forecast is based on your current time horizon.
  
A four-period moving average forecast model for BAE Systems PLC 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.

BAE Systems 4 Period Moving Average Price Forecast For the 3rd of December

Given 90 days horizon, the 4 Period Moving Average forecasted value of BAE Systems PLC on the next trading day is expected to be 63.79 with a mean absolute deviation of 1.43, mean absolute percentage error of 3.40, and the sum of the absolute errors of 81.26.
Please note that although there have been many attempts to predict BAE Pink Sheet 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 BAE Systems' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

BAE Systems Pink Sheet Forecast Pattern

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BAE Systems Forecasted Value

In the context of forecasting BAE Systems' Pink Sheet 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. BAE Systems' downside and upside margins for the forecasting period are 62.03 and 65.55, respectively. We have considered BAE Systems' 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
62.44
63.79
Expected Value
65.55
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 BAE Systems pink sheet data series using in forecasting. Note that when a statistical model is used to represent BAE Systems pink sheet, 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 Criteria111.9839
BiasArithmetic mean of the errors 0.1724
MADMean absolute deviation1.4256
MAPEMean absolute percentage error0.0212
SAESum of the absolute errors81.2575
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 BAE Systems. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for BAE Systems PLC and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for BAE Systems

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as BAE Systems PLC. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of BAE Systems' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
60.6862.4464.20
Details
Intrinsic
Valuation
LowRealHigh
58.1859.9468.68
Details
Bollinger
Band Projection (param)
LowMiddleHigh
61.4766.7472.00
Details

Other Forecasting Options for BAE Systems

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

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 Risk & Return  Correlation

BAE Systems PLC Technical and Predictive Analytics

The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of BAE Systems' 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 BAE Systems' current price.

BAE Systems Market Strength Events

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

BAE Systems Risk Indicators

The analysis of BAE Systems' 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 BAE Systems' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting bae pink sheet 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 BAE Pink Sheet Analysis

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