Loblaw Companies Stock Forecast - 8 Period Moving Average

L8G Stock  EUR 121.00  1.00  0.83%   
The 8 Period Moving Average forecasted value of Loblaw Companies Limited on the next trading day is expected to be 120.12 with a mean absolute deviation of 1.85 and the sum of the absolute errors of 98.13. Loblaw Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Loblaw Companies' historical fundamentals, such as revenue growth or operating cash flow patterns.
  
An 8-period moving average forecast model for Loblaw Companies is based on an artificially constructed time series of Loblaw Companies 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.

Loblaw Companies 8 Period Moving Average Price Forecast For the 28th of November

Given 90 days horizon, the 8 Period Moving Average forecasted value of Loblaw Companies Limited on the next trading day is expected to be 120.12 with a mean absolute deviation of 1.85, mean absolute percentage error of 6.52, and the sum of the absolute errors of 98.13.
Please note that although there have been many attempts to predict Loblaw 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 Loblaw Companies' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Loblaw Companies Stock Forecast Pattern

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Loblaw Companies Forecasted Value

In the context of forecasting Loblaw Companies' 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. Loblaw Companies' downside and upside margins for the forecasting period are 118.67 and 121.58, respectively. We have considered Loblaw Companies' 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
121.00
118.67
Downside
120.12
Expected Value
121.58
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 Loblaw Companies stock data series using in forecasting. Note that when a statistical model is used to represent Loblaw Companies 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 Criteria105.2821
BiasArithmetic mean of the errors -0.2952
MADMean absolute deviation1.8514
MAPEMean absolute percentage error0.0156
SAESum of the absolute errors98.1263
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. Loblaw Companies Limited 8-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Loblaw Companies

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Loblaw Companies. 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
118.55120.00121.45
Details
Intrinsic
Valuation
LowRealHigh
116.61118.06132.00
Details
Bollinger
Band Projection (param)
LowMiddleHigh
113.39119.58125.77
Details

Other Forecasting Options for Loblaw Companies

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

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

Loblaw Companies 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 Loblaw Companies' 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 Loblaw Companies' current price.

Loblaw Companies Market Strength Events

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

Loblaw Companies Risk Indicators

The analysis of Loblaw Companies' 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 Loblaw Companies' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting loblaw 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.

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Other Information on Investing in Loblaw Stock

Loblaw Companies financial ratios help investors to determine whether Loblaw 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 Loblaw with respect to the benefits of owning Loblaw Companies security.