Enterprise Financial Services Preferred Stock Market Value
| EFSCP Preferred Stock | USD 20.47 0.02 0.1% |
| Symbol | Enterprise |
Enterprise 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 Enterprise 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 Enterprise Financial.
| 11/03/2024 |
| 12/03/2024 |
If you would invest 0.00 in Enterprise Financial on November 3, 2024 and sell it all today you would earn a total of 0.00 from holding Enterprise Financial Services or generate 0.0% return on investment in Enterprise Financial over 30 days. Enterprise Financial is related to or competes with Dime Community, Texas Capital, First Citizens, CIT Group, and Bank Ozk. Enterprise Financial Services Corp operates as the financial holding company for Enterprise Bank Trust that offers banki... More
Enterprise 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 Enterprise 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 Enterprise Financial Services upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.08 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 6.02 | |||
| Value At Risk | (1.48) | |||
| Potential Upside | 1.85 |
Enterprise Financial Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Enterprise Financial's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Enterprise Financial's standard deviation. In reality, there are many statistical measures that can use Enterprise Financial historical prices to predict the future Enterprise Financial's volatility.| Risk Adjusted Performance | 0.0813 | |||
| Jensen Alpha | 0.0943 | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 2.43 |
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 Backtested Returns
Currently, Enterprise Financial Services is very steady. Enterprise Financial secures Sharpe Ratio (or Efficiency) of 0.0285, which denotes the company had a 0.0285% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Enterprise Financial Services, which you can use to evaluate the volatility of the firm. Please confirm Enterprise Financial's Downside Deviation of 1.08, mean deviation of 0.7963, and Coefficient Of Variation of 972.85 to check if the risk estimate we provide is consistent with the expected return of 0.0283%. Enterprise Financial has a performance score of 2 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.0408, which means not very significant fluctuations relative to the market. As returns on the market increase, Enterprise Financial's returns are expected to increase less than the market. However, during the bear market, the loss of holding Enterprise Financial is expected to be smaller as well. Enterprise Financial right now shows a risk of 0.99%. Please confirm Enterprise Financial value at risk, as well as the relationship between the skewness and day typical price , to decide if Enterprise Financial will be following its price patterns.
Auto-correlation | -0.47 |
Modest reverse predictability
Enterprise Financial Services has modest reverse predictability. Overlapping area represents the amount of predictability between Enterprise Financial time series from 3rd of November 2024 to 18th of November 2024 and 18th of November 2024 to 3rd of December 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 Enterprise Financial price movement. The serial correlation of -0.47 indicates that about 47.0% of current Enterprise Financial price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.47 | |
| Spearman Rank Test | -0.36 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
Enterprise Financial lagged returns against current returns
Autocorrelation, which is Enterprise Financial preferred 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 Enterprise Financial's preferred stock expected returns. We can calculate the autocorrelation of Enterprise Financial returns to help us make a trade decision. For example, suppose you find that Enterprise Financial has exhibited high autocorrelation historically, and you observe that the preferred 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 |
Enterprise 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 Enterprise Financial preferred stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Enterprise Financial preferred stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Enterprise Financial preferred stock over time.
Current vs Lagged Prices |
| Timeline |
Enterprise Financial Lagged Returns
When evaluating Enterprise Financial's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Enterprise Financial preferred stock have on its future price. Enterprise 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, Enterprise Financial autocorrelation shows the relationship between Enterprise Financial preferred stock current value and its past values and can show if there is a momentum factor associated with investing in Enterprise Financial Services.
Regressed Prices |
| Timeline |
Pair Trading with Enterprise Financial
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Enterprise Financial position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Enterprise Financial will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Enterprise Financial could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Enterprise Financial when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Enterprise Financial - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Enterprise Financial Services to buy it.
The correlation of Enterprise Financial is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Enterprise Financial moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Enterprise Financial moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Enterprise Financial can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional 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.