Halliburton Stock Forecast - Simple Regression

HAL Stock  ARS 17,175  400.00  2.28%   
The Simple Regression forecasted value of Halliburton Co on the next trading day is expected to be 16,431 with a mean absolute deviation of 728.97 and the sum of the absolute errors of 45,196. Halliburton Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Halliburton stock prices and determine the direction of Halliburton Co's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Halliburton'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 Halliburton 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.

Halliburton Simple Regression Price Forecast For the 24th of January

Given 90 days horizon, the Simple Regression forecasted value of Halliburton Co on the next trading day is expected to be 16,431 with a mean absolute deviation of 728.97, mean absolute percentage error of 705,926, and the sum of the absolute errors of 45,196.
Please note that although there have been many attempts to predict Halliburton 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 Halliburton's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Halliburton Stock Forecast Pattern

Backtest HalliburtonHalliburton Price PredictionBuy or Sell Advice 

Halliburton Forecasted Value

In the context of forecasting Halliburton'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. Halliburton's downside and upside margins for the forecasting period are 16,429 and 16,434, respectively. We have considered Halliburton'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
17,175
16,429
Downside
16,431
Expected Value
16,434
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 Halliburton stock data series using in forecasting. Note that when a statistical model is used to represent Halliburton 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 Criteria133.4156
BiasArithmetic mean of the errors None
MADMean absolute deviation728.9682
MAPEMean absolute percentage error0.044
SAESum of the absolute errors45196.0274
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 Halliburton Co 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 Halliburton

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Halliburton. 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
17,17317,17517,177
Details
Intrinsic
Valuation
LowRealHigh
14,15714,15918,892
Details
Bollinger
Band Projection (param)
LowMiddleHigh
14,62316,27417,925
Details

Other Forecasting Options for Halliburton

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

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

Halliburton 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 Halliburton'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 Halliburton's current price.

Halliburton Market Strength Events

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

Halliburton Risk Indicators

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

Other Information on Investing in Halliburton Stock

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