Wal-Mart Stock Forecast - Naive Prediction

4GNB Stock  EUR 2.70  0.08  3.05%   
The Naive Prediction forecasted value of Wal Mart de Mxico on the next trading day is expected to be 2.43 with a mean absolute deviation of 0.20 and the sum of the absolute errors of 12.26. Wal-Mart Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Wal-Mart's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A naive forecasting model for Wal-Mart is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Wal Mart de Mxico value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Wal-Mart Naive Prediction Price Forecast For the 13th of December 2024

Given 90 days horizon, the Naive Prediction forecasted value of Wal Mart de Mxico on the next trading day is expected to be 2.43 with a mean absolute deviation of 0.20, mean absolute percentage error of 0.08, and the sum of the absolute errors of 12.26.
Please note that although there have been many attempts to predict Wal-Mart 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 Wal-Mart's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Wal-Mart Stock Forecast Pattern

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Wal-Mart Forecasted Value

In the context of forecasting Wal-Mart's 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. Wal-Mart's downside and upside margins for the forecasting period are 0.03 and 15.43, respectively. We have considered Wal-Mart'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
2.70
2.43
Expected Value
15.43
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Wal-Mart stock data series using in forecasting. Note that when a statistical model is used to represent Wal-Mart 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 Criteria115.5312
BiasArithmetic mean of the errors None
MADMean absolute deviation0.2009
MAPEMean absolute percentage error0.162
SAESum of the absolute errors12.2555
This model is not at all useful as a medium-long range forecasting tool of Wal Mart de Mxico. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Wal-Mart. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Wal-Mart

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Wal Mart de. 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
0.142.7015.71
Details
Intrinsic
Valuation
LowRealHigh
0.142.7515.76
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Wal-Mart. Your research has to be compared to or analyzed against Wal-Mart's peers to derive any actionable benefits. When done correctly, Wal-Mart's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Wal Mart de.

Other Forecasting Options for Wal-Mart

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

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

Wal Mart de 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 Wal-Mart'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 Wal-Mart's current price.

Wal-Mart Market Strength Events

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

Wal-Mart Risk Indicators

The analysis of Wal-Mart'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 Wal-Mart's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting wal-mart 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.

Currently Active Assets on Macroaxis

Other Information on Investing in Wal-Mart Stock

Wal-Mart financial ratios help investors to determine whether Wal-Mart 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 Wal-Mart with respect to the benefits of owning Wal-Mart security.