Global Net Stock Forecast - Simple Regression

GNL Stock  USD 7.28  0.01  0.14%   
The Simple Regression forecasted value of Global Net Lease, on the next trading day is expected to be 7.50 with a mean absolute deviation of 0.17 and the sum of the absolute errors of 10.39. Global Stock Forecast is based on your current time horizon. Although Global Net's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Global Net's systematic risk associated with finding meaningful patterns of Global Net fundamentals over time.
  
At this time, Global Net's Payables Turnover is quite stable compared to the past year. Fixed Asset Turnover is expected to rise to 7.02 this year, although the value of Inventory Turnover will most likely fall to (1.01). . The value of Common Stock Shares Outstanding is expected to slide to about 86.2 M. Net Loss is expected to rise to about (10.2 M) this year.
Simple Regression model is a single variable regression model that attempts to put a straight line through Global Net 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.

Global Net Simple Regression Price Forecast For the 23rd of November

Given 90 days horizon, the Simple Regression forecasted value of Global Net Lease, on the next trading day is expected to be 7.50 with a mean absolute deviation of 0.17, mean absolute percentage error of 0.04, and the sum of the absolute errors of 10.39.
Please note that although there have been many attempts to predict Global 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 Global Net's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Global Net Stock Forecast Pattern

Backtest Global NetGlobal Net Price PredictionBuy or Sell Advice 

Global Net Forecasted Value

In the context of forecasting Global Net'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. Global Net's downside and upside margins for the forecasting period are 6.20 and 8.80, respectively. We have considered Global Net'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
7.28
7.50
Expected Value
8.80
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 Global Net stock data series using in forecasting. Note that when a statistical model is used to represent Global Net 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 Criteria114.9777
BiasArithmetic mean of the errors None
MADMean absolute deviation0.1703
MAPEMean absolute percentage error0.0212
SAESum of the absolute errors10.3913
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 Global Net Lease, 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 Global Net

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Global Net Lease,. 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
6.007.308.60
Details
Intrinsic
Valuation
LowRealHigh
6.558.8610.16
Details
8 Analysts
Consensus
LowTargetHigh
12.0613.2514.71
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.000.000.00
Details

Other Forecasting Options for Global Net

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

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

Global Net Lease, 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 Global Net'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 Global Net's current price.

Global Net Market Strength Events

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

Global Net Risk Indicators

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

Building efficient market-beating portfolios requires time, education, and a lot of computing power!

The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.

Try AI Portfolio Architect
When determining whether Global Net Lease, is a strong investment it is important to analyze Global Net'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 Global Net's future performance. For an informed investment choice regarding Global Stock, refer to the following important reports:
Check out Historical Fundamental Analysis of Global Net to cross-verify your projections.
You can also try the Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Is Diversified REITs 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 Global Net. If investors know Global 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 Global Net 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
3.33
Dividend Share
1.258
Earnings Share
(0.78)
Revenue Per Share
3.524
Quarterly Revenue Growth
0.663
The market value of Global Net Lease, is measured differently than its book value, which is the value of Global that is recorded on the company's balance sheet. Investors also form their own opinion of Global Net's value that differs from its market value or its book value, called intrinsic value, which is Global Net'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 Global Net's market value can be influenced by many factors that don't directly affect Global Net'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 Global Net's value and its price as these two are different measures arrived at by different means. Investors typically determine if Global Net is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Global Net'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.