John Bean Stock Forecast - Naive Prediction

JBT Stock  USD 128.38  3.28  2.49%   
The Naive Prediction forecasted value of John Bean Technologies on the next trading day is expected to be 128.75 with a mean absolute deviation of 2.53 and the sum of the absolute errors of 154.52. John Stock Forecast is based on your current time horizon.
  
At this time, John Bean's Inventory Turnover is comparatively stable compared to the past year. Payables Turnover is likely to gain to 8.81 in 2024, whereas Receivables Turnover is likely to drop 4.46 in 2024. . Net Income Applicable To Common Shares is likely to gain to about 157.8 M in 2024, whereas Common Stock Shares Outstanding is likely to drop slightly above 33.2 M in 2024.
Forecasting cash, or other financial indicators, requires analysts to apply different statistical methods, techniques, and algorithms to find hidden patterns within the John Bean's financial statements to predict how it will affect future prices.
 
Cash  
First Reported
2007-12-31
Previous Quarter
474.3 M
Current Value
534.5 M
Quarterly Volatility
118.6 M
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
A naive forecasting model for John Bean is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of John Bean Technologies value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

John Bean Naive Prediction Price Forecast For the 30th of December

Given 90 days horizon, the Naive Prediction forecasted value of John Bean Technologies on the next trading day is expected to be 128.75 with a mean absolute deviation of 2.53, mean absolute percentage error of 10.73, and the sum of the absolute errors of 154.52.
Please note that although there have been many attempts to predict John 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 John Bean's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

John Bean Stock Forecast Pattern

Backtest John BeanJohn Bean Price PredictionBuy or Sell Advice 

John Bean Forecasted Value

In the context of forecasting John Bean'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. John Bean's downside and upside margins for the forecasting period are 125.81 and 131.70, respectively. We have considered John Bean'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
128.38
125.81
Downside
128.75
Expected Value
131.70
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of John Bean stock data series using in forecasting. Note that when a statistical model is used to represent John Bean 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 Criteria120.4833
BiasArithmetic mean of the errors None
MADMean absolute deviation2.5331
MAPEMean absolute percentage error0.0223
SAESum of the absolute errors154.5219
This model is not at all useful as a medium-long range forecasting tool of John Bean Technologies. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict John Bean. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for John Bean

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as John Bean Technologies. 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
125.72128.66131.60
Details
Intrinsic
Valuation
LowRealHigh
118.98121.92141.22
Details
6 Analysts
Consensus
LowTargetHigh
111.93123.00136.53
Details
Earnings
Estimates (0)
LowProjected EPSHigh
1.281.851.32
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as John Bean. Your research has to be compared to or analyzed against John Bean's peers to derive any actionable benefits. When done correctly, John Bean'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 John Bean Technologies.

Other Forecasting Options for John Bean

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

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

John Bean Technologies 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 John Bean'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 John Bean's current price.

John Bean Market Strength Events

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

John Bean Risk Indicators

The analysis of John Bean'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 John Bean's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting john 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.
Explore Investing Ideas  

Additional Tools for John Stock Analysis

When running John Bean's price analysis, check to measure John Bean'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 John Bean is operating at the current time. Most of John Bean's value examination focuses on studying past and present price action to predict the probability of John Bean's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move John Bean's price. Additionally, you may evaluate how the addition of John Bean to your portfolios can decrease your overall portfolio volatility.