Regions Financial Stock Market Value
| RF Stock | USD 19.55 0.20 1.03% |
| Symbol | Regions |
Regions Financial Price To Book Ratio
Is Regions Financial'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 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 0.92 | Earnings Share 1.85 | Revenue Per Share 7.293 | Quarterly Revenue Growth 0.156 | Return On Assets 0.0118 |
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.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Regions Financial on March 25, 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 30 days. Regions Financial is related to or competes with KeyCorp, Fifth Third, New York, Zions Bancorporation, Huntington Bancshares, PNC Financial, and Comerica. 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 | 1.75 | |||
| Information Ratio | (0) | |||
| Maximum Drawdown | 8.75 | |||
| Value At Risk | (2.63) | |||
| Potential Upside | 2.39 |
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 | 0.0413 | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.14) | |||
| Sortino Ratio | (0) | |||
| Treynor Ratio | 0.0581 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Regions Financial'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.
Regions Financial Backtested Returns
We consider Regions Financial very steady. Regions Financial maintains Sharpe Ratio (i.e., Efficiency) of 0.0323, which implies the firm had a 0.0323% 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 Semi Deviation of 1.69, coefficient of variation of 1772.68, and Risk Adjusted Performance of 0.0413 to confirm if the risk estimate we provide is consistent with the expected return of 0.0518%. Regions Financial has a performance score of 2 on a scale of 0 to 100. The company holds a Beta of 1.39, which implies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Regions Financial will likely underperform. Regions Financial right now holds a risk of 1.61%. Please check Regions Financial downside variance, and the relationship between the sortino ratio and accumulation distribution , to decide if Regions Financial will be following its historical price patterns.
Auto-correlation | -0.3 |
Weak reverse predictability
Regions Financial has weak reverse predictability. Overlapping area represents the amount of predictability between Regions Financial time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th of April 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 -0.3 indicates that nearly 30.0% of current Regions Financial price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.3 | |
| Spearman Rank Test | 0.01 | |
| Residual Average | 0.0 | |
| Price Variance | 0.26 |
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 |
Regions Financial Investors Sentiment
The influence of Regions Financial'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 Regions. 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 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.
Regions Financial'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 Regions Financial'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 Regions Financial's news discussions. The higher the estimated score, the more favorable is the investor's outlook on Regions Financial.
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 Regions Financial 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, Regions Financial's short interest history, or implied volatility extrapolated from Regions Financial options trading.
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When determining whether Regions Financial is a strong investment it is important to analyze Regions Financial'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 Regions Financial's future performance. For an informed investment choice regarding Regions Stock, refer to the following important reports: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.Note that the Regions Financial information on this page should be used as a complementary analysis to other Regions Financial'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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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.
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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.