Regions Financial Poration Bond Technical Analysis
| 7591EPAQ3 | 95.78 0.11 0.00% |
As of the 18th of April 2024, REGIONS holds the coefficient of variation of (863.18), and Risk Adjusted Performance of (0.07). In respect to fundamental indicators, the technical analysis model allows you to check helpful technical drivers of REGIONS, as well as the relationship between them. Put it differently, you can use this information to find out if the bond will indeed mirror its model of past market data, or the prices will eventually revert. We were able to analyze thirteen technical drivers for REGIONS FINANCIAL, which can be compared to its competitors. Please check REGIONS FINANCIAL treynor ratio, value at risk, and the relationship between the information ratio and maximum drawdown to decide if REGIONS FINANCIAL is priced fairly, providing market reflects its current price of 92.23 per share.
REGIONS 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 technical bond 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, bond market cycles, or different charting patterns.
REGIONS FINANCIAL Trend Analysis
Use this graph to draw trend lines for REGIONS FINANCIAL PORATION. You can use it to identify possible trend reversals for REGIONS as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual REGIONS price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.REGIONS Best Fit Change Line
The following chart estimates an ordinary least squares regression model for REGIONS FINANCIAL PORATION applied against its price change over selected period. The best fit line has a slop of 0.01 , which may suggest that REGIONS FINANCIAL PORATION market price will keep on failing further. It has 122 observation points and a regression sum of squares at 8.33, which is the sum of squared deviations for the predicted REGIONS price change compared to its average price change.About REGIONS 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 PORATION 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 PORATION based on its technical analysis. In general, a bottom-up approach, as applied to this corporate bond, focuses on REGIONS FINANCIAL price pattern first instead of the macroeconomic environment surrounding REGIONS FINANCIAL. By analyzing REGIONS'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'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 specific price patterns or momentum indicators. Please read more on our technical analysis page.
REGIONS April 18, 2024 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 | (0.07) | |||
| Market Risk Adjusted Performance | 1.67 | |||
| Mean Deviation | 0.2619 | |||
| Coefficient Of Variation | (863.18) | |||
| Standard Deviation | 0.5944 | |||
| Variance | 0.3533 | |||
| Information Ratio | (0.21) | |||
| Jensen Alpha | (0.08) | |||
| Total Risk Alpha | (0.12) | |||
| Treynor Ratio | 1.66 | |||
| Maximum Drawdown | 1.36 | |||
| Value At Risk | (0.59) | |||
| Potential Upside | 0.3646 | |||
| Skewness | (5.71) | |||
| Kurtosis | 38.89 |
Check out World Market Map to better understand how to build diversified portfolios, which includes a position in REGIONS FINANCIAL PORATION. Also, note that the market value of any corporate bond could be tightly coupled with the direction of predictive economic indicators such as signals in nation. Note that the REGIONS FINANCIAL information on this page should be used as a complementary analysis to other REGIONS'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 Money Managers module to screen money managers from public funds and ETFs managed around the world.