Enterprise Financial Services Preferred Stock Probability of Future Preferred Stock Price Finishing Under 19.35
| EFSCP Preferred Stock | USD 19.10 0.28 1.44% |
Enterprise |
Enterprise Financial Target Price Odds to finish below 19.35
The tendency of Enterprise Preferred Stock price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
| Current Price | Horizon | Target Price | Odds to stay under $ 19.35 after 90 days |
| 19.10 | 90 days | 19.35 | about 85.31 |
Based on a normal probability distribution, the odds of Enterprise Financial to stay under $ 19.35 after 90 days from now is about 85.31 (This Enterprise Financial Services probability density function shows the probability of Enterprise Preferred Stock to fall within a particular range of prices over 90 days) . Probability of Enterprise Financial price to stay between its current price of $ 19.10 and $ 19.35 at the end of the 90-day period is about 5.88 .
Assuming the 90 days horizon Enterprise Financial has a beta of 0.11 suggesting as returns on the market go up, Enterprise Financial average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Enterprise Financial Services will be expected to be much smaller as well. Additionally Enterprise Financial Services has an alpha of 0.1628, implying that it can generate a 0.16 percent excess return over NYSE Composite after adjusting for the inherited market risk (beta). Enterprise Financial Price Density |
| Price |
Predictive Modules for Enterprise Financial
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Enterprise Financial. Regardless of method or technology, however, to accurately forecast the preferred stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the preferred stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Enterprise 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.
Enterprise Financial Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Enterprise Financial is not an exception. The market had few large corrections towards the Enterprise Financial's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold Enterprise Financial Services, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Enterprise Financial within the framework of very fundamental risk indicators.α | Alpha over NYSE Composite | 0.16 | |
β | Beta against NYSE Composite | 0.11 | |
σ | Overall volatility | 1.09 | |
Ir | Information ratio | 0.05 |
Enterprise Financial Price Density Drivers
Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of Enterprise Preferred Stock often depends not only on the future outlook of the current and potential Enterprise 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. Enterprise Financial's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 37.3 M |
Enterprise Financial Technical Analysis
Enterprise Financial's future price can be derived by breaking down and analyzing its technical indicators over time. Enterprise Preferred Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Enterprise Financial Services. In general, you should focus on analyzing Enterprise Preferred Stock price patterns and their correlations with different microeconomic environments and drivers.
Enterprise Financial Predictive Forecast Models
Enterprise Financial's time-series forecasting models is one of many Enterprise Financial's preferred stock analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary Enterprise Financial's historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the preferred stock market movement and maximize returns from investment trading.
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 Enterprise 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, Enterprise Financial's short interest history, or implied volatility extrapolated from Enterprise Financial options trading.
Check out Enterprise Financial Backtesting, Enterprise Financial Valuation, Enterprise Financial Correlation, Enterprise Financial Hype Analysis, Enterprise Financial Volatility, Enterprise Financial History as well as Enterprise Financial Performance. Note that the Enterprise Financial information on this page should be used as a complementary analysis to other Enterprise 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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
Complementary Tools for Enterprise Preferred Stock analysis
When running Enterprise Financial's price analysis, check to measure Enterprise 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 Enterprise Financial is operating at the current time. Most of Enterprise Financial's value examination focuses on studying past and present price action to predict the probability of Enterprise 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 Enterprise Financial's price. Additionally, you may evaluate how the addition of Enterprise Financial to your portfolios can decrease your overall portfolio volatility.
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