Huntsman Stock Forecast - Simple Regression

HUN Stock  USD 19.73  0.11  0.56%   
The Simple Regression forecasted value of Huntsman on the next trading day is expected to be 20.76 with a mean absolute deviation of 1.25 and the sum of the absolute errors of 76.32. Huntsman Stock Forecast is based on your current time horizon. Although Huntsman's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Huntsman's systematic risk associated with finding meaningful patterns of Huntsman fundamentals over time.
  
At this time, Huntsman's Inventory Turnover is very stable compared to the past year. As of the 25th of November 2024, Payables Turnover is likely to grow to 9.25, while Receivables Turnover is likely to drop 6.10. . As of the 25th of November 2024, Common Stock Shares Outstanding is likely to grow to about 240.6 M, while Net Income Applicable To Common Shares is likely to drop about 453.5 M.
Simple Regression model is a single variable regression model that attempts to put a straight line through Huntsman 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.

Huntsman Simple Regression Price Forecast For the 26th of November

Given 90 days horizon, the Simple Regression forecasted value of Huntsman on the next trading day is expected to be 20.76 with a mean absolute deviation of 1.25, mean absolute percentage error of 1.87, and the sum of the absolute errors of 76.32.
Please note that although there have been many attempts to predict Huntsman 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 Huntsman's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Huntsman Stock Forecast Pattern

Backtest HuntsmanHuntsman Price PredictionBuy or Sell Advice 

Huntsman Forecasted Value

In the context of forecasting Huntsman'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. Huntsman's downside and upside margins for the forecasting period are 18.98 and 22.53, respectively. We have considered Huntsman'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
19.73
20.76
Expected Value
22.53
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 Huntsman stock data series using in forecasting. Note that when a statistical model is used to represent Huntsman 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 Criteria118.7371
BiasArithmetic mean of the errors None
MADMean absolute deviation1.2512
MAPEMean absolute percentage error0.0569
SAESum of the absolute errors76.3246
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 Huntsman 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 Huntsman

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Huntsman. 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 Huntsman's 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
17.9719.7521.53
Details
Intrinsic
Valuation
LowRealHigh
17.7624.5126.29
Details
Bollinger
Band Projection (param)
LowMiddleHigh
19.5919.6919.80
Details
16 Analysts
Consensus
LowTargetHigh
25.6028.1331.22
Details

Other Forecasting Options for Huntsman

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

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

Huntsman 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 Huntsman'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 Huntsman's current price.

Huntsman Market Strength Events

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

Huntsman Risk Indicators

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

Pair Trading with Huntsman

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Huntsman position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Huntsman will appreciate offsetting losses from the drop in the long position's value.

Moving together with Huntsman Stock

  0.87CE CelanesePairCorr

Moving against Huntsman Stock

  0.64WLKP Westlake ChemicalPairCorr
  0.49CMC Commercial MetalsPairCorr
  0.46RS Reliance Steel AluminumPairCorr
The ability to find closely correlated positions to Huntsman could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Huntsman when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Huntsman - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Huntsman to buy it.
The correlation of Huntsman is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Huntsman moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Huntsman moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Huntsman can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching
When determining whether Huntsman offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Huntsman's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Huntsman Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Huntsman Stock:
Check out Historical Fundamental Analysis of Huntsman to cross-verify your projections.
To learn how to invest in Huntsman Stock, please use our How to Invest in Huntsman guide.
You can also try the Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
Is Diversified Chemicals space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Huntsman. If investors know Huntsman will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Huntsman listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
0.206
Dividend Share
0.988
Earnings Share
(0.60)
Revenue Per Share
34.793
Quarterly Revenue Growth
0.023
The market value of Huntsman is measured differently than its book value, which is the value of Huntsman that is recorded on the company's balance sheet. Investors also form their own opinion of Huntsman's value that differs from its market value or its book value, called intrinsic value, which is Huntsman's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Huntsman's market value can be influenced by many factors that don't directly affect Huntsman's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Huntsman's value and its price as these two are different measures arrived at by different means. Investors typically determine if Huntsman is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Huntsman'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.