Jones Lang Stock Forecast - Polynomial Regression

JLL Stock  USD 349.16  13.32  3.97%   
The Polynomial Regression forecasted value of Jones Lang LaSalle on the next trading day is expected to be 348.91 with a mean absolute deviation of 6.80 and the sum of the absolute errors of 414.91. Jones Stock Forecast is based on your current time horizon.
The relative strength index (RSI) of Jones Lang's share price is above 70 as of now. This indicates that the stock is becoming overbought or overvalued. The idea behind Relative Strength Index (RSI) is that it helps to track how fast people are buying or selling Jones, making its price go up or down.

Momentum 77

 Buy Stretched

 
Oversold
 
Overbought
The successful prediction of Jones Lang's future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of Jones Lang and does not consider all of the tangible or intangible factors available from Jones Lang's fundamental data. We analyze noise-free headlines and recent hype associated with Jones Lang LaSalle, which may create opportunities for some arbitrage if properly timed.
Using Jones Lang hype-based prediction, you can estimate the value of Jones Lang LaSalle from the perspective of Jones Lang response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of Jones Lang LaSalle on the next trading day is expected to be 348.91 with a mean absolute deviation of 6.80 and the sum of the absolute errors of 414.91.

Jones Lang after-hype prediction price

    
  USD 345.51  
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of Jones Lang to cross-verify your projections.

Jones Lang Additional Predictive Modules

Most predictive techniques to examine Jones price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Jones using various technical indicators. When you analyze Jones charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
Jones Lang polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Jones Lang LaSalle as well as the accuracy indicators are determined from the period prices.

Jones Lang Polynomial Regression Price Forecast For the 6th of January

Given 90 days horizon, the Polynomial Regression forecasted value of Jones Lang LaSalle on the next trading day is expected to be 348.91 with a mean absolute deviation of 6.80, mean absolute percentage error of 73.38, and the sum of the absolute errors of 414.91.
Please note that although there have been many attempts to predict Jones 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 Jones Lang's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Jones Lang Stock Forecast Pattern

Backtest Jones LangJones Lang Price PredictionBuy or Sell Advice 

Jones Lang Forecasted Value

In the context of forecasting Jones Lang'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. Jones Lang's downside and upside margins for the forecasting period are 347.17 and 350.65, respectively. We have considered Jones Lang'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
349.16
347.17
Downside
348.91
Expected Value
350.65
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 Jones Lang stock data series using in forecasting. Note that when a statistical model is used to represent Jones Lang 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 Criteria122.4062
BiasArithmetic mean of the errors None
MADMean absolute deviation6.8018
MAPEMean absolute percentage error0.0219
SAESum of the absolute errors414.9104
A single variable polynomial regression model attempts to put a curve through the Jones Lang 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 Jones Lang

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Jones Lang LaSalle. 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
343.80345.51347.22
Details
Intrinsic
Valuation
LowRealHigh
311.55356.90358.61
Details
Bollinger
Band Projection (param)
LowMiddleHigh
332.99342.73352.47
Details

Other Forecasting Options for Jones Lang

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

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

Jones Lang LaSalle 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 Jones Lang'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 Jones Lang's current price.

Jones Lang Market Strength Events

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

Jones Lang Risk Indicators

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

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When determining whether Jones Lang LaSalle is a strong investment it is important to analyze Jones Lang's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Jones Lang's future performance. For an informed investment choice regarding Jones Stock, refer to the following important reports:
Check out Historical Fundamental Analysis of Jones Lang to cross-verify your projections.
You can also try the Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
Is Real Estate Management & Development 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 Jones Lang. If investors know Jones 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 Jones Lang listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Jones Lang LaSalle is measured differently than its book value, which is the value of Jones that is recorded on the company's balance sheet. Investors also form their own opinion of Jones Lang's value that differs from its market value or its book value, called intrinsic value, which is Jones Lang'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 Jones Lang's market value can be influenced by many factors that don't directly affect Jones Lang'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 Jones Lang's value and its price as these two are different measures arrived at by different means. Investors typically determine if Jones Lang is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Jones Lang'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.