MEG Energy Pink Sheet Forecast - 4 Period Moving Average

MEGEF Stock  USD 17.60  0.96  5.17%   
The 4 Period Moving Average forecasted value of MEG Energy Corp on the next trading day is expected to be 18.20 with a mean absolute deviation of 0.50 and the sum of the absolute errors of 28.52. MEG Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of MEG Energy's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A four-period moving average forecast model for MEG Energy 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.

MEG Energy 4 Period Moving Average Price Forecast For the 28th of November

Given 90 days horizon, the 4 Period Moving Average forecasted value of MEG Energy Corp on the next trading day is expected to be 18.20 with a mean absolute deviation of 0.50, mean absolute percentage error of 0.36, and the sum of the absolute errors of 28.52.
Please note that although there have been many attempts to predict MEG 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 MEG Energy's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

MEG Energy Pink Sheet Forecast Pattern

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MEG Energy Forecasted Value

In the context of forecasting MEG Energy's 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. MEG Energy's downside and upside margins for the forecasting period are 15.93 and 20.46, respectively. We have considered MEG Energy's 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
17.60
18.20
Expected Value
20.46
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 MEG Energy pink sheet data series using in forecasting. Note that when a statistical model is used to represent MEG Energy 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 Criteria109.7504
BiasArithmetic mean of the errors 9.0E-4
MADMean absolute deviation0.5004
MAPEMean absolute percentage error0.0266
SAESum of the absolute errors28.5225
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 MEG Energy. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for MEG Energy Corp and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for MEG Energy

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as MEG Energy Corp. 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 MEG Energy's 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
15.3317.6019.87
Details
Intrinsic
Valuation
LowRealHigh
14.7216.9919.26
Details
Bollinger
Band Projection (param)
LowMiddleHigh
17.4618.4919.53
Details

Other Forecasting Options for MEG Energy

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

MEG Energy 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 MEG Energy pink sheet to make a market-neutral strategy. Peer analysis of MEG Energy could also be used in its relative valuation, which is a method of valuing MEG Energy by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

MEG Energy Corp 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 MEG Energy's 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 MEG Energy's current price.

MEG Energy Market Strength Events

Market strength indicators help investors to evaluate how MEG Energy 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 MEG Energy shares will generate the highest return on investment. By undertsting and applying MEG Energy pink sheet market strength indicators, traders can identify MEG Energy Corp entry and exit signals to maximize returns.

MEG Energy Risk Indicators

The analysis of MEG Energy's 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 MEG Energy's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting meg 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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Other Information on Investing in MEG Pink Sheet

MEG Energy financial ratios help investors to determine whether MEG Pink Sheet 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 MEG with respect to the benefits of owning MEG Energy security.