JB Hunt Stock Forecast - Simple Regression

JBHT Stock  USD 181.57  0.01  0.01%   
The Simple Regression forecasted value of JB Hunt Transport on the next trading day is expected to be 185.77 with a mean absolute deviation of 3.73 and the sum of the absolute errors of 227.49. JBHT Stock Forecast is based on your current time horizon.
  
Inventory Turnover is likely to drop to 141.53 in 2024. Payables Turnover is likely to drop to 8.25 in 2024. Common Stock Shares Outstanding is likely to gain to about 107.5 M in 2024. Net Income Applicable To Common Shares is likely to gain to about 1.2 B in 2024.
Simple Regression model is a single variable regression model that attempts to put a straight line through JB Hunt 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.

JB Hunt Simple Regression Price Forecast For the 23rd of November

Given 90 days horizon, the Simple Regression forecasted value of JB Hunt Transport on the next trading day is expected to be 185.77 with a mean absolute deviation of 3.73, mean absolute percentage error of 25.90, and the sum of the absolute errors of 227.49.
Please note that although there have been many attempts to predict JBHT 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 JB Hunt's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

JB Hunt Stock Forecast Pattern

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JB Hunt Forecasted Value

In the context of forecasting JB Hunt'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. JB Hunt's downside and upside margins for the forecasting period are 184.11 and 187.42, respectively. We have considered JB Hunt'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
181.57
184.11
Downside
185.77
Expected Value
187.42
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 JB Hunt stock data series using in forecasting. Note that when a statistical model is used to represent JB Hunt 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 Criteria121.3646
BiasArithmetic mean of the errors None
MADMean absolute deviation3.7293
MAPEMean absolute percentage error0.0212
SAESum of the absolute errors227.4869
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 JB Hunt Transport 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 JB Hunt

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as JB Hunt Transport. 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
180.01181.65183.29
Details
Intrinsic
Valuation
LowRealHigh
163.41190.37192.01
Details
Bollinger
Band Projection (param)
LowMiddleHigh
176.34186.60196.87
Details
24 Analysts
Consensus
LowTargetHigh
181.71199.68221.64
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as JB Hunt. Your research has to be compared to or analyzed against JB Hunt's peers to derive any actionable benefits. When done correctly, JB Hunt'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 JB Hunt Transport.

Other Forecasting Options for JB Hunt

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

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

JB Hunt Transport 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 JB Hunt'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 JB Hunt's current price.

JB Hunt Market Strength Events

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

JB Hunt Risk Indicators

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

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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Additional Tools for JBHT Stock Analysis

When running JB Hunt's price analysis, check to measure JB Hunt's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy JB Hunt is operating at the current time. Most of JB Hunt's value examination focuses on studying past and present price action to predict the probability of JB Hunt's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move JB Hunt's price. Additionally, you may evaluate how the addition of JB Hunt to your portfolios can decrease your overall portfolio volatility.