Regions Financial Stock Market Value
| RF Stock | USD 26.74 0.48 1.83% |
| Symbol | Regions |
Regions Financial Price To Book Ratio
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.
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 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.
| 05/26/2024 |
| 11/22/2024 |
If you would invest 0.00 in Regions Financial on May 26, 2024 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 180 days. Regions Financial is related to or competes with Waterstone Financial, Mid Penn, ST Bancorp, Republic Bancorp, Southern Missouri, IF Bancorp, and Colony Bankcorp. 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 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 | 1.2 | |||
| Information Ratio | 0.119 | |||
| Maximum Drawdown | 14.81 | |||
| Value At Risk | (1.66) | |||
| Potential Upside | 2.82 |
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 | 0.1339 | |||
| Jensen Alpha | 0.327 | |||
| Total Risk Alpha | 0.0959 | |||
| Sortino Ratio | 0.1857 | |||
| Treynor Ratio | (1.45) |
Regions Financial Backtested Returns
Regions Financial appears to be very steady, given 3 months investment horizon. Regions Financial maintains Sharpe Ratio (i.e., Efficiency) of 0.15, which implies the firm had a 0.15% 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 evaluate Regions Financial's Semi Deviation of 0.9205, risk adjusted performance of 0.1339, and Coefficient Of Variation of 588.93 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Regions Financial holds a performance score of 12. The company holds a Beta of -0.21, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Regions Financial are expected to decrease at a much lower rate. During the bear market, Regions Financial is likely to outperform the market. Please check Regions Financial's downside variance, and the relationship between the sortino ratio and accumulation distribution , to make a quick decision on whether Regions Financial's historical price patterns will revert.
Auto-correlation | 0.67 |
Good predictability
Regions Financial has good predictability. Overlapping area represents the amount of predictability between Regions Financial time series from 26th of May 2024 to 24th of August 2024 and 24th of August 2024 to 22nd of November 2024. 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 0.67 indicates that around 67.0% of current Regions Financial price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.67 | |
| Spearman Rank Test | 0.7 | |
| Residual Average | 0.0 | |
| Price Variance | 1.79 |
Regions Financial lagged returns against current returns
Autocorrelation, which is Regions Financial stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Regions Financial's stock expected returns. We can calculate the autocorrelation of Regions Financial returns to help us make a trade decision. For example, suppose you find that Regions Financial has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Regions Financial regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Regions Financial stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Regions Financial stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Regions Financial stock over time.
Current vs Lagged Prices |
| Timeline |
Regions Financial Lagged Returns
When evaluating Regions Financial's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Regions Financial stock have on its future price. Regions Financial autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Regions Financial autocorrelation shows the relationship between Regions Financial stock current value and its past values and can show if there is a momentum factor associated with investing in Regions Financial.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Check out Regions Financial Correlation, Regions Financial Volatility and Regions Financial Alpha and Beta module to complement your research on Regions Financial. For more detail on how to invest in Regions Stock please use our How to Invest in Regions Financial guide.You can also try the Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.
Regions Financial technical 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, stock market cycles, or different charting patterns.