Hess Stock Forecast - Polynomial Regression

HESDelisted Stock  USD 148.97  0.00  0.00%   
The Polynomial Regression forecasted value of Hess Corporation on the next trading day is expected to be 151.28 with a mean absolute deviation of 2.26 and the sum of the absolute errors of 137.65. Hess Stock Forecast is based on your current time horizon.
  
Hess polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Hess Corporation as well as the accuracy indicators are determined from the period prices.

Hess Polynomial Regression Price Forecast For the 26th of July

Given 90 days horizon, the Polynomial Regression forecasted value of Hess Corporation on the next trading day is expected to be 151.28 with a mean absolute deviation of 2.26, mean absolute percentage error of 6.89, and the sum of the absolute errors of 137.65.
Please note that although there have been many attempts to predict Hess 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 Hess' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Hess Stock Forecast Pattern

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Hess Forecasted Value

In the context of forecasting Hess' 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. Hess' downside and upside margins for the forecasting period are 149.89 and 152.68, respectively. We have considered Hess' 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
148.97
149.89
Downside
151.28
Expected Value
152.68
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Hess stock data series using in forecasting. Note that when a statistical model is used to represent Hess 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 Criteria120.0407
BiasArithmetic mean of the errors None
MADMean absolute deviation2.2565
MAPEMean absolute percentage error0.0163
SAESum of the absolute errors137.6454
A single variable polynomial regression model attempts to put a curve through the Hess historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Hess

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Hess. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Hess' 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
147.58148.97150.36
Details
Intrinsic
Valuation
LowRealHigh
121.76123.15163.87
Details
Bollinger
Band Projection (param)
LowMiddleHigh
126.29139.75153.20
Details

Other Forecasting Options for Hess

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

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

Hess 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 Hess' 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 Hess' current price.

Hess Market Strength Events

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

Hess Risk Indicators

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

Thematic Opportunities

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Check out Historical Fundamental Analysis of Hess to cross-verify your projections.
You can also try the ETFs module to find actively traded Exchange Traded Funds (ETF) from around the world.

Other Consideration for investing in Hess Stock

If you are still planning to invest in Hess check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Hess' history and understand the potential risks before investing.
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