SFL Stock Forecast - Triple Exponential Smoothing

SFL Stock  USD 12.60  0.04  0.32%   
The Triple Exponential Smoothing forecasted value of SFL Corporation on the next trading day is expected to be 12.58 with a mean absolute deviation of  0.13  and the sum of the absolute errors of 7.41. SFL Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast SFL stock prices and determine the direction of SFL Corporation's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of SFL's historical fundamentals, such as revenue growth or operating cash flow patterns. Although SFL's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of SFL's systematic risk associated with finding meaningful patterns of SFL fundamentals over time.
Check out Historical Fundamental Analysis of SFL to cross-verify your projections.
  
Receivables Turnover is expected to rise to 19.60 this year, although the value of Inventory Turnover will most likely fall to 41.13. . The value of Common Stock Shares Outstanding is expected to slide to about 100.5 M. The value of Net Income Applicable To Common Shares is expected to slide to about 111.3 M.

Open Interest Against 2024-04-19 SFL Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast SFL's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in SFL's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for SFL stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current SFL's open interest, investors have to compare it to SFL's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of SFL is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in SFL. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Most investors in SFL cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the SFL's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets SFL's price structures and extracts relationships that further increase the generated results' accuracy.
Triple exponential smoothing for SFL - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When SFL prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any trend in SFL price movement. However, neither of these exponential smoothing models address any seasonality of SFL Corporation.

SFL Triple Exponential Smoothing Price Forecast For the 19th of April

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of SFL Corporation on the next trading day is expected to be 12.58 with a mean absolute deviation of 0.13, mean absolute percentage error of 0.03, and the sum of the absolute errors of 7.41.
Please note that although there have been many attempts to predict SFL 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 SFL's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

SFL Stock Forecast Pattern

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SFL Forecasted Value

In the context of forecasting SFL'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. SFL's downside and upside margins for the forecasting period are 11.23 and 13.93, respectively. We have considered SFL'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
12.60
12.58
Expected Value
13.93
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of SFL stock data series using in forecasting. Note that when a statistical model is used to represent SFL 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 CriteriaHuge
BiasArithmetic mean of the errors 0.0308
MADMean absolute deviation0.1257
MAPEMean absolute percentage error0.0099
SAESum of the absolute errors7.414
As with simple exponential smoothing, in triple exponential smoothing models past SFL observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older SFL Corporation observations.

Predictive Modules for SFL

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SFL Corporation. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SFL's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
11.2512.6013.95
Details
Intrinsic
Valuation
LowRealHigh
11.1912.5413.89
Details
Bollinger
Band Projection (param)
LowMiddleHigh
12.3912.9613.53
Details
5 Analysts
Consensus
LowTargetHigh
10.4711.5012.77
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as SFL. Your research has to be compared to or analyzed against SFL's peers to derive any actionable benefits. When done correctly, SFL'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 SFL Corporation.

Other Forecasting Options for SFL

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

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

SFL Corporation 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 SFL'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 SFL's current price.

SFL Market Strength Events

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

SFL Risk Indicators

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

SFL Investors Sentiment

The influence of SFL's investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in SFL. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock market does not have solid backing from leading economists and market statisticians.
Investor biases related to SFL's public news can be used to forecast risks associated with an investment in SFL. The trend in average sentiment can be used to explain how an investor holding SFL can time the market purely based on public headlines and social activities around SFL Corporation. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
SFL's market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for SFL's and other traded tickers. The bigger the bubble, the more accurate is the estimated score. Higher bars for a given day show more participation in the average SFL's news discussions. The higher the estimated score, the more favorable is the investor's outlook on SFL.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards SFL in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, SFL's short interest history, or implied volatility extrapolated from SFL options trading.

Currently Active Assets on Macroaxis

When determining whether SFL Corporation is a strong investment it is important to analyze SFL'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 SFL's future performance. For an informed investment choice regarding SFL Stock, refer to the following important reports:
Check out Historical Fundamental Analysis of SFL to cross-verify your projections.
Note that the SFL Corporation information on this page should be used as a complementary analysis to other SFL's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.

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When running SFL's price analysis, check to measure SFL'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 SFL is operating at the current time. Most of SFL's value examination focuses on studying past and present price action to predict the probability of SFL's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SFL's price. Additionally, you may evaluate how the addition of SFL to your portfolios can decrease your overall portfolio volatility.
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Is SFL's industry 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 SFL. If investors know SFL 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 SFL 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
(0.39)
Dividend Share
0.99
Earnings Share
0.66
Revenue Per Share
5.896
Quarterly Revenue Growth
0.057
The market value of SFL Corporation is measured differently than its book value, which is the value of SFL that is recorded on the company's balance sheet. Investors also form their own opinion of SFL's value that differs from its market value or its book value, called intrinsic value, which is SFL'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 SFL's market value can be influenced by many factors that don't directly affect SFL'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 SFL's value and its price as these two are different measures arrived at by different means. Investors typically determine if SFL is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SFL'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.