Regions Financial Stock Price Prediction
| RF Stock | USD 24.69 0.15 0.60% |
Momentum 71
Buy Stretched
Oversold | Overbought |
EPS Estimate Next Quarter 0.5608 | EPS Estimate Current Year 2.2383 | EPS Estimate Next Year 2.444 | Wall Street Target Price 24.2046 | EPS Estimate Current Quarter 0.5075 |
Using Regions Financial hype-based prediction, you can estimate the value of Regions Financial from the perspective of Regions Financial response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Regions Financial using Regions Financial's stock options and short interest. It helps to benchmark the overall future attitude of investors towards Regions using crowd psychology based on the activity and movement of Regions Financial's stock price.
Regions Financial Short Interest
A significant increase or decrease in Regions Financial's short interest from the previous month could be a good indicator of investor sentiment towards Regions. Short interest can provide insight into the potential direction of Regions Financial stock and how bullish or bearish investors feel about the market overall.
200 Day MA 23.1308 | Short Percent 0.0571 | Short Ratio 5.89 | Shares Short Prior Month 51.8 M | 50 Day MA 22.29 |
Regions Financial Hype to Price Pattern
Investor biases related to Regions Financial's public news can be used to forecast risks associated with an investment in Regions. The trend in average sentiment can be used to explain how an investor holding Regions can time the market purely based on public headlines and social activities around Regions Financial. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of Regions Financial's market sentiment to its price can help taders to make decisions based on the overall investors consensus about Regions Financial.
Regions Financial Implied Volatility | 0.6 |
Regions Financial's implied volatility exposes the market's sentiment of Regions Financial stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Regions Financial's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Regions Financial stock will not fluctuate a lot when Regions Financial's options are near their expiration.
The fear of missing out, i.e., FOMO, can cause potential investors in Regions Financial to buy its stock at a price that has no basis in reality. In that case, they are not buying Regions because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
Regions Financial after-hype prediction price | USD 24.79 |
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.
Prediction based on Rule 16 of the current Regions contract
Based on the Rule 16, the options market is currently suggesting that Regions Financial will have an average daily up or down price movement of about 0.0375% per day over the life of the 2025-08-15 option contract. With Regions Financial trading at USD 24.69, that is roughly USD 0.009259 . If you think that the market is fully incorporating Regions Financial's daily price movement you should consider acquiring Regions Financial options at the current volatility level of 0.6%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
Check out Regions Financial Basic Forecasting Models to cross-verify your projections. Regions Financial After-Hype Price Prediction Density Analysis
As far as predicting the price of Regions Financial at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Regions Financial or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Regions Financial, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Regions Financial Estimiated After-Hype Price Volatility
In the context of predicting Regions Financial's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Regions Financial's historical news coverage. Regions Financial's after-hype downside and upside margins for the prediction period are 23.25 and 26.33, respectively. We have considered Regions Financial's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Regions Financial is very steady at this time. Analysis and calculation of next after-hype price of Regions Financial is based on 3 months time horizon.
Regions Financial Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Regions Financial is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Regions Financial backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Regions Financial, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.43 | 1.54 | 0.10 | 0.19 | 12 Events / Month | 4 Events / Month | In about 12 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
24.69 | 24.79 | 0.41 |
|
Regions Financial Hype Timeline
As of July 13, 2025 Regions Financial is listed for 24.69. The entity has historical hype elasticity of 0.1, and average elasticity to hype of competition of 0.19. Regions is forecasted to increase in value after the next headline, with the price projected to jump to 24.79 or above. The average volatility of media hype impact on the company the price is over 100%. The price rise on the next news is projected to be 0.41%, whereas the daily expected return is at this time at 0.43%. The volatility of related hype on Regions Financial is about 349.01%, with the expected price after the next announcement by competition of 24.88. The company generated the yearly revenue of 9.37 B. Reported Net Income was 1.89 B with gross profit of 6.66 B. Allowing for the 90-day total investment horizon the next forecasted press release will be in about 12 days. Check out Regions Financial Basic Forecasting Models to cross-verify your projections.Regions Financial Related Hype Analysis
Having access to credible news sources related to Regions Financial's direct competition is more important than ever and may enhance your ability to predict Regions Financial's future price movements. Getting to know how Regions Financial's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Regions Financial may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| HBAN | Huntington Bancshares Incorporated | (0.16) | 7 per month | 1.29 | 0.13 | 3.11 | (1.67) | 15.67 | |
| FITB | Fifth Third Bancorp | 0.41 | 8 per month | 1.39 | 0.09 | 3.19 | (2.45) | 12.74 | |
| MTB | MT Bank | 1.31 | 10 per month | 1.34 | 0.09 | 2.62 | (2.16) | 13.41 | |
| CFG | Citizens Financial Group, | 0.22 | 8 per month | 1.56 | 0.12 | 3.65 | (2.04) | 16.06 | |
| FHN | First Horizon National | 0.03 | 9 per month | 1.42 | 0.10 | 3.36 | (2.85) | 15.64 | |
| KEY | KeyCorp | 0.09 | 7 per month | 1.38 | 0.12 | 2.79 | (2.86) | 15.10 | |
| CMA | Comerica | 1.49 | 11 per month | 1.71 | 0.06 | 2.48 | (3.19) | 16.17 | |
| PNC | PNC Financial Services | 0.14 | 8 per month | 1.09 | 0.1 | 2.88 | (2.00) | 12.03 |
Regions Financial Additional Predictive Modules
Most predictive techniques to examine Regions price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Regions using various technical indicators. When you analyze Regions 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.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About Regions Financial Predictive Indicators
The successful prediction of Regions Financial stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as Regions Financial, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of Regions Financial based on analysis of Regions Financial hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Regions Financial's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Regions Financial's related companies. | 2022 | 2023 | 2025 (projected) | Dividend Yield | 0.0378 | 0.0488 | 0.0448 | Price To Sales Ratio | 2.69 | 1.98 | 1.5 |
Story Coverage note for Regions Financial
The number of cover stories for Regions Financial depends on current market conditions and Regions Financial's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Regions Financial is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Regions Financial's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Contributor Headline
Latest Perspective From Macroaxis
Regions Financial Short Properties
Regions Financial's future price predictability will typically decrease when Regions Financial's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Regions Financial often depends not only on the future outlook of the potential Regions Financial's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Regions Financial's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 918 M | |
| Cash And Short Term Investments | 34.2 B |
Complementary Tools for Regions Stock analysis
When running Regions Financial's price analysis, check to measure Regions Financial'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 Regions Financial is operating at the current time. Most of Regions Financial's value examination focuses on studying past and present price action to predict the probability of Regions Financial's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Regions Financial's price. Additionally, you may evaluate how the addition of Regions Financial to your portfolios can decrease your overall portfolio volatility.
| Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
| Bond Analysis Evaluate and analyze corporate bonds as a potential investment for your portfolios. | |
| Earnings Calls Check upcoming earnings announcements updated hourly across public exchanges | |
| Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes | |
| Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
| FinTech Suite Use AI to screen and filter profitable investment opportunities | |
| Sign In To Macroaxis Sign in to explore Macroaxis' wealth optimization platform and fintech modules | |
| Idea Optimizer Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio | |
| Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated |