Regions Financial Stock Forecast - Triple Exponential Smoothing

RF Stock  USD 26.74  0.48  1.83%   
The Triple Exponential Smoothing forecasted value of Regions Financial on the next trading day is expected to be 26.87 with a mean absolute deviation of 0.29 and the sum of the absolute errors of 17.41. Regions Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Regions Financial's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
At this time, Regions Financial's Fixed Asset Turnover is most likely to increase slightly in the upcoming years. The Regions Financial's current Asset Turnover is estimated to increase to 0.05, while Receivables Turnover is projected to decrease to 7.92. . The Regions Financial's current Net Income Applicable To Common Shares is estimated to increase to about 2.6 B, while Common Stock Shares Outstanding is projected to decrease to roughly 629.9 M.
Triple exponential smoothing for Regions Financial - 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 Regions Financial 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 Regions Financial price movement. However, neither of these exponential smoothing models address any seasonality of Regions Financial.

Regions Financial Triple Exponential Smoothing Price Forecast For the 23rd of November

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Regions Financial on the next trading day is expected to be 26.87 with a mean absolute deviation of 0.29, mean absolute percentage error of 0.21, and the sum of the absolute errors of 17.41.
Please note that although there have been many attempts to predict Regions 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 Regions Financial's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Regions Financial Stock Forecast Pattern

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Regions Financial Forecasted Value

In the context of forecasting Regions Financial'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. Regions Financial's downside and upside margins for the forecasting period are 24.97 and 28.76, respectively. We have considered Regions Financial'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
26.74
26.87
Expected Value
28.76
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 Regions Financial stock data series using in forecasting. Note that when a statistical model is used to represent Regions Financial 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 0.0483
MADMean absolute deviation0.2902
MAPEMean absolute percentage error0.0122
SAESum of the absolute errors17.4106
As with simple exponential smoothing, in triple exponential smoothing models past Regions Financial 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 Regions Financial observations.

Predictive Modules for Regions Financial

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Regions Financial. 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
24.6826.5628.44
Details
Intrinsic
Valuation
LowRealHigh
20.5422.4229.41
Details
Bollinger
Band Projection (param)
LowMiddleHigh
23.8225.7927.75
Details
25 Analysts
Consensus
LowTargetHigh
17.6119.3521.48
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Regions Financial. Your research has to be compared to or analyzed against Regions Financial's peers to derive any actionable benefits. When done correctly, Regions Financial'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 Regions Financial.

Other Forecasting Options for Regions Financial

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

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

Regions Financial 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 Regions Financial'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 Regions Financial's current price.

Regions Financial Market Strength Events

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

Regions Financial Risk Indicators

The analysis of Regions Financial'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 Regions Financial's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting regions 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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Check out Historical Fundamental Analysis of Regions Financial to cross-verify your projections.
For more detail on how to invest in Regions Stock please use our How to Invest in Regions Financial guide.
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Is Regional Banks 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 Regions Financial. If investors know Regions 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 Regions Financial listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Dividend Share
0.97
Earnings Share
1.77
Revenue Per Share
7.124
Quarterly Revenue Growth
0.156
Return On Assets
0.0113
The market value of Regions Financial is measured differently than its book value, which is the value of Regions that is recorded on the company's balance sheet. Investors also form their own opinion of Regions Financial's value that differs from its market value or its book value, called intrinsic value, which is Regions Financial'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 Regions Financial's market value can be influenced by many factors that don't directly affect Regions Financial'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 Regions Financial's value and its price as these two are different measures arrived at by different means. Investors typically determine if Regions Financial is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Regions Financial'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.