Walmart Stock Forecast - Simple Regression

WALM34 Stock  BRL 34.86  0.99  2.76%   
The Simple Regression forecasted value of Walmart on the next trading day is expected to be 36.76 with a mean absolute deviation of 0.77 and the sum of the absolute errors of 47.09. Walmart Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Walmart stock prices and determine the direction of Walmart's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Walmart's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through Walmart price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Walmart Simple Regression Price Forecast For the 24th of December

Given 90 days horizon, the Simple Regression forecasted value of Walmart on the next trading day is expected to be 36.76 with a mean absolute deviation of 0.77, mean absolute percentage error of 0.86, and the sum of the absolute errors of 47.09.
Please note that although there have been many attempts to predict Walmart 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 Walmart's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Walmart Stock Forecast Pattern

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Walmart Forecasted Value

In the context of forecasting Walmart'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. Walmart's downside and upside margins for the forecasting period are 35.25 and 38.26, respectively. We have considered Walmart'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
34.86
36.76
Expected Value
38.26
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Walmart stock data series using in forecasting. Note that when a statistical model is used to represent Walmart 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 Criteria117.9594
BiasArithmetic mean of the errors None
MADMean absolute deviation0.772
MAPEMean absolute percentage error0.0243
SAESum of the absolute errors47.091
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Walmart historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Walmart

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Walmart. 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
33.3534.8636.37
Details
Intrinsic
Valuation
LowRealHigh
31.3739.5241.03
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Walmart. Your research has to be compared to or analyzed against Walmart's peers to derive any actionable benefits. When done correctly, Walmart'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 Walmart.

Other Forecasting Options for Walmart

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

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

Walmart 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 Walmart'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 Walmart's current price.

Walmart Market Strength Events

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

Walmart Risk Indicators

The analysis of Walmart'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 Walmart's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting walmart 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.

Also Currently Popular

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 Information and Resources on Investing in Walmart Stock

When determining whether Walmart is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Walmart Stock is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Walmart Stock. Highlighted below are key reports to facilitate an investment decision about Walmart Stock:
Check out Historical Fundamental Analysis of Walmart to cross-verify your projections.
For information on how to trade Walmart Stock refer to our How to Trade Walmart Stock guide.
You can also try the Equity Valuation module to check real value of public entities based on technical and fundamental data.
Please note, there is a significant difference between Walmart's value and its price as these two are different measures arrived at by different means. Investors typically determine if Walmart is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Walmart's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.