FLEX LNG Stock Forecast - Polynomial Regression

FLNG Stock  USD 26.32  0.14  0.53%   
The Polynomial Regression forecasted value of FLEX LNG on the next trading day is expected to be 26.64 with a mean absolute deviation of 0.49 and the sum of the absolute errors of 29.98. FLEX Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of FLEX LNG's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
At this time, FLEX LNG's Fixed Asset Turnover is most likely to increase slightly in the upcoming years. . The FLEX LNG's current Net Income Applicable To Common Shares is estimated to increase to about 227.1 M, while Common Stock Shares Outstanding is projected to decrease to roughly 30.8 M.
FLEX LNG polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for FLEX LNG as well as the accuracy indicators are determined from the period prices.

FLEX LNG Polynomial Regression Price Forecast For the 23rd of November

Given 90 days horizon, the Polynomial Regression forecasted value of FLEX LNG on the next trading day is expected to be 26.64 with a mean absolute deviation of 0.49, mean absolute percentage error of 0.38, and the sum of the absolute errors of 29.98.
Please note that although there have been many attempts to predict FLEX 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 FLEX LNG's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

FLEX LNG Stock Forecast Pattern

Backtest FLEX LNGFLEX LNG Price PredictionBuy or Sell Advice 

FLEX LNG Forecasted Value

In the context of forecasting FLEX LNG'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. FLEX LNG's downside and upside margins for the forecasting period are 25.02 and 28.27, respectively. We have considered FLEX LNG'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
26.32
26.64
Expected Value
28.27
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 FLEX LNG stock data series using in forecasting. Note that when a statistical model is used to represent FLEX LNG 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 Criteria117.139
BiasArithmetic mean of the errors None
MADMean absolute deviation0.4914
MAPEMean absolute percentage error0.0194
SAESum of the absolute errors29.9751
A single variable polynomial regression model attempts to put a curve through the FLEX LNG 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 FLEX LNG

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as FLEX LNG. 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
24.5626.1827.80
Details
Intrinsic
Valuation
LowRealHigh
23.5629.2930.91
Details
Bollinger
Band Projection (param)
LowMiddleHigh
22.8624.8026.73
Details
2 Analysts
Consensus
LowTargetHigh
30.0333.0036.63
Details

Other Forecasting Options for FLEX LNG

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

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

FLEX LNG 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 FLEX LNG'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 FLEX LNG's current price.

FLEX LNG Market Strength Events

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

FLEX LNG Risk Indicators

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

Currently Active Assets on Macroaxis

When determining whether FLEX LNG is a strong investment it is important to analyze FLEX LNG'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 FLEX LNG's future performance. For an informed investment choice regarding FLEX Stock, refer to the following important reports:
Check out Historical Fundamental Analysis of FLEX LNG to cross-verify your projections.
For more detail on how to invest in FLEX Stock please use our How to Invest in FLEX LNG guide.
You can also try the Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
Is Marine Transportation 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 FLEX LNG. If investors know FLEX 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 FLEX LNG 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
(0.62)
Dividend Share
3
Earnings Share
1.69
Revenue Per Share
6.741
Quarterly Revenue Growth
(0.04)
The market value of FLEX LNG is measured differently than its book value, which is the value of FLEX that is recorded on the company's balance sheet. Investors also form their own opinion of FLEX LNG's value that differs from its market value or its book value, called intrinsic value, which is FLEX LNG'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 FLEX LNG's market value can be influenced by many factors that don't directly affect FLEX LNG'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 FLEX LNG's value and its price as these two are different measures arrived at by different means. Investors typically determine if FLEX LNG is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, FLEX LNG'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.