Regions Financial Preferred Stock Technical Analysis
| RF-PE Preferred Stock | USD 17.67 0.01 0.06% |
As of the 27th of February, Regions Financial holds the Semi Deviation of 0.1585, coefficient of variation of 550.08, and Risk Adjusted Performance of 0.1292. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Regions Financial, as well as the relationship between them. Please check Regions Financial treynor ratio, and the relationship between the variance and potential upside to decide if Regions Financial is priced some-what accurately, providing market reflects its current price of 17.67 per share. Given that Regions Financial has jensen alpha of 0.0423, we recommend you to check out Regions Financial's recent market performance to make sure the company can sustain itself at a future point.
Regions Financial Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Regions, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to RegionsRegions |
Regions Financial 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Regions Financial's preferred stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Regions Financial.
| 11/29/2025 |
| 02/27/2026 |
If you would invest 0.00 in Regions Financial on November 29, 2025 and sell it all today you would earn a total of 0.00 from holding Regions Financial or generate 0.0% return on investment in Regions Financial over 90 days. Regions Financial is related to or competes with Banco Santander, Woori Financial, Fifth Third, Grupo Cibest, Citizens Financial, East West, and Webster Financial. Regions Financial Corporation, a financial holding company, provides banking and bank-related services to individual and... More
Regions Financial Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Regions Financial's preferred stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Regions Financial upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.3744 | |||
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 1.72 | |||
| Value At Risk | (0.57) | |||
| Potential Upside | 0.7711 |
Regions Financial Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Regions Financial's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Regions Financial's standard deviation. In reality, there are many statistical measures that can use Regions Financial historical prices to predict the future Regions Financial's volatility.| Risk Adjusted Performance | 0.1292 | |||
| Jensen Alpha | 0.0423 | |||
| Total Risk Alpha | 0.0036 | |||
| Sortino Ratio | (0.13) | |||
| Treynor Ratio | 0.3551 |
Regions Financial February 27, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1292 | |||
| Market Risk Adjusted Performance | 0.3651 | |||
| Mean Deviation | 0.3135 | |||
| Semi Deviation | 0.1585 | |||
| Downside Deviation | 0.3744 | |||
| Coefficient Of Variation | 550.08 | |||
| Standard Deviation | 0.3955 | |||
| Variance | 0.1564 | |||
| Information Ratio | (0.13) | |||
| Jensen Alpha | 0.0423 | |||
| Total Risk Alpha | 0.0036 | |||
| Sortino Ratio | (0.13) | |||
| Treynor Ratio | 0.3551 | |||
| Maximum Drawdown | 1.72 | |||
| Value At Risk | (0.57) | |||
| Potential Upside | 0.7711 | |||
| Downside Variance | 0.1402 | |||
| Semi Variance | 0.0251 | |||
| Expected Short fall | (0.38) | |||
| Skewness | 0.024 | |||
| Kurtosis | (0.05) |
Regions Financial Backtested Returns
At this point, Regions Financial is very steady. Regions Financial maintains Sharpe Ratio (i.e., Efficiency) of 0.1, which implies the firm had a 0.1 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Regions Financial, which you can use to evaluate the volatility of the company. Please check Regions Financial's Coefficient Of Variation of 550.08, risk adjusted performance of 0.1292, and Semi Deviation of 0.1585 to confirm if the risk estimate we provide is consistent with the expected return of 0.0408%. Regions Financial has a performance score of 8 on a scale of 0 to 100. The company holds a Beta of 0.17, which implies not very significant fluctuations relative to the market. As returns on the market increase, Regions Financial's returns are expected to increase less than the market. However, during the bear market, the loss of holding Regions Financial is expected to be smaller as well. Regions Financial right now holds a risk of 0.39%. Please check Regions Financial jensen alpha, potential upside, accumulation distribution, as well as the relationship between the treynor ratio and expected short fall , to decide if Regions Financial will be following its historical price patterns.
Auto-correlation | 0.42 |
Average predictability
Regions Financial has average predictability. Overlapping area represents the amount of predictability between Regions Financial time series from 29th of November 2025 to 13th of January 2026 and 13th of January 2026 to 27th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Regions Financial price movement. The serial correlation of 0.42 indicates that just about 42.0% of current Regions Financial price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.42 | |
| Spearman Rank Test | -0.09 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Regions Financial technical preferred stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, preferred stock market cycles, or different charting patterns.
Regions Financial Technical Analysis
The output start index for this execution was fourteen with a total number of output elements of fourty-seven. The Normalized Average True Range is used to analyze tradable apportunities for Regions Financial across different markets.
About Regions Financial Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Regions Financial on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Regions Financial based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Regions Financial price pattern first instead of the macroeconomic environment surrounding Regions Financial. By analyzing Regions Financial's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Regions Financial's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Regions Financial specific price patterns or momentum indicators. Please read more on our technical analysis page.
Regions Financial February 27, 2026 Technical Indicators
Most technical analysis of Regions help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Regions from various momentum indicators to cycle indicators. When you analyze Regions charts, please remember that the event formation may indicate an entry point for a short seller, and look at different 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 |
| Risk Adjusted Performance | 0.1292 | |||
| Market Risk Adjusted Performance | 0.3651 | |||
| Mean Deviation | 0.3135 | |||
| Semi Deviation | 0.1585 | |||
| Downside Deviation | 0.3744 | |||
| Coefficient Of Variation | 550.08 | |||
| Standard Deviation | 0.3955 | |||
| Variance | 0.1564 | |||
| Information Ratio | (0.13) | |||
| Jensen Alpha | 0.0423 | |||
| Total Risk Alpha | 0.0036 | |||
| Sortino Ratio | (0.13) | |||
| Treynor Ratio | 0.3551 | |||
| Maximum Drawdown | 1.72 | |||
| Value At Risk | (0.57) | |||
| Potential Upside | 0.7711 | |||
| Downside Variance | 0.1402 | |||
| Semi Variance | 0.0251 | |||
| Expected Short fall | (0.38) | |||
| Skewness | 0.024 | |||
| Kurtosis | (0.05) |
Regions Financial February 27, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Regions stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 255.77 | ||
| Daily Balance Of Power | (0.10) | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 17.64 | ||
| Day Typical Price | 17.65 | ||
| Price Action Indicator | 0.03 |
Complementary Tools for Regions Preferred 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.
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