Enterprise Financial Stock Forward View - Double Exponential Smoothing
| EFSC Stock | USD 56.75 0.64 1.14% |
Enterprise Stock outlook is based on your current time horizon. Investors can use this forecasting interface to forecast Enterprise Financial stock prices and determine the direction of Enterprise Financial Services's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Enterprise Financial's historical fundamentals, such as revenue growth or operating cash flow patterns.
At the present time, The relative strength index (RSI) of Enterprise Financial's share price is at 55 suggesting that the stock is in nutural position, most likellhy at or near its resistance level. The main idea of RSI analysis is to track how fast people are buying or selling Enterprise Financial, making its price go up or down. Momentum 55
Impartial
Oversold | Overbought |
Using Enterprise Financial hype-based prediction, you can estimate the value of Enterprise Financial Services from the perspective of Enterprise Financial response to recently generated media hype and the effects of current headlines on its competitors.
The Double Exponential Smoothing forecasted value of Enterprise Financial Services on the next trading day is expected to be 56.82 with a mean absolute deviation of 0.65 and the sum of the absolute errors of 38.33. Enterprise Financial after-hype prediction price | USD 57.02 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Enterprise | Build AI portfolio with Enterprise Stock |
Enterprise Financial Additional Predictive Modules
Most predictive techniques to examine Enterprise price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Enterprise using various technical indicators. When you analyze Enterprise charts, please remember that the event formation may indicate an entry point for a short seller, and look at 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 |
Enterprise Financial Double Exponential Smoothing Price Forecast For the 1st of February
Given 90 days horizon, the Double Exponential Smoothing forecasted value of Enterprise Financial Services on the next trading day is expected to be 56.82 with a mean absolute deviation of 0.65, mean absolute percentage error of 0.76, and the sum of the absolute errors of 38.33.Please note that although there have been many attempts to predict Enterprise Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Enterprise Financial's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Enterprise Financial Stock Forecast Pattern
| Backtest Enterprise Financial | Enterprise Financial Price Prediction | Buy or Sell Advice |
Enterprise Financial Forecasted Value
In the context of forecasting Enterprise Financial's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Enterprise Financial's downside and upside margins for the forecasting period are 55.28 and 58.37, respectively. We have considered Enterprise Financial's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Enterprise Financial stock data series using in forecasting. Note that when a statistical model is used to represent Enterprise Financial stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | Huge |
| Bias | Arithmetic mean of the errors | 0.1108 |
| MAD | Mean absolute deviation | 0.6497 |
| MAPE | Mean absolute percentage error | 0.0118 |
| SAE | Sum of the absolute errors | 38.3336 |
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 stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the 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 After-Hype Price Density Analysis
As far as predicting the price of Enterprise Financial at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Enterprise Financial or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Enterprise Financial, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Enterprise Financial Estimiated After-Hype Price Volatility
In the context of predicting Enterprise Financial's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Enterprise Financial's historical news coverage. Enterprise Financial's after-hype downside and upside margins for the prediction period are 55.48 and 58.56, respectively. We have considered Enterprise Financial's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Enterprise Financial is very steady at this time. Analysis and calculation of next after-hype price of Enterprise Financial is based on 3 months time horizon.
Enterprise Financial Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Enterprise Financial is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Enterprise Financial backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Enterprise Financial, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.17 | 1.54 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | In a few days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
56.75 | 57.02 | 0.58 |
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Enterprise Financial Hype Timeline
Enterprise Financial is currently traded for 56.75. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Enterprise is projected to decline in value after the next headline, with the price expected to drop to 57.02. The average volatility of media hype impact on the company price is insignificant. The price decrease on the next news is expected to be -0.58%, whereas the daily expected return is currently at 0.17%. The volatility of related hype on Enterprise Financial is about 0.0%, with the expected price after the next announcement by competition of 56.75. About 84.0% of the company shares are held by institutions such as insurance companies. The company has price-to-book (P/B) ratio of 1.07. Some equities with similar Price to Book (P/B) outperform the market in the long run. Enterprise Financial has Price/Earnings To Growth (PEG) ratio of 1.9. The entity recorded earning per share (EPS) of 5.31. The firm last dividend was issued on the 13th of March 2026. Enterprise Financial had 3:1 split on the 30th of September 1999. Given the investment horizon of 90 days the next projected press release will be in a few days. Check out Historical Fundamental Analysis of Enterprise Financial to cross-verify your projections.Enterprise Financial Related Hype Analysis
Having access to credible news sources related to Enterprise Financial's direct competition is more important than ever and may enhance your ability to predict Enterprise Financial's future price movements. Getting to know how Enterprise Financial's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Enterprise Financial may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| FRME | First Merchants | 0.00 | 0 per month | 1.15 | 0.10 | 2.80 | (1.50) | 8.32 | |
| BANR | Banner | 0.00 | 0 per month | 1.67 | 0 | 2.94 | (1.65) | 10.80 | |
| CUBI | Customers Bancorp | 0.00 | 0 per month | 1.86 | 0.10 | 3.73 | (2.67) | 14.63 | |
| BUSE | First Busey Corp | 0.00 | 0 per month | 1.31 | 0.08 | 2.71 | (1.89) | 7.86 | |
| HTH | Hilltop Holdings | 0.00 | 0 per month | 0.95 | 0.14 | 2.26 | (1.14) | 7.38 | |
| NBTB | NBT Bancorp | 0.00 | 0 per month | 1.22 | 0.08 | 3.31 | (2.08) | 8.92 | |
| FBNC | First Bancorp | 0.00 | 0 per month | 1.33 | 0.13 | 3.02 | (1.54) | 9.98 | |
| SYBT | Stock Yards Bancorp | 0.00 | 0 per month | 1.47 | 0.01 | 3.29 | (1.87) | 9.60 | |
| TRMK | Trustmark | 0.00 | 0 per month | 1.31 | 0.12 | 2.46 | (1.41) | 9.61 | |
| NIC | Nicolet Bankshares | 0.00 | 0 per month | 1.16 | 0.14 | 3.09 | (2.36) | 13.07 |
Other Forecasting Options for Enterprise Financial
For every potential investor in Enterprise, whether a beginner or expert, Enterprise Financial's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Enterprise Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Enterprise. Basic forecasting techniques help filter out the noise by identifying Enterprise Financial's price trends.Enterprise Financial Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Enterprise Financial stock to make a market-neutral strategy. Peer analysis of Enterprise Financial could also be used in its relative valuation, which is a method of valuing Enterprise Financial by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Enterprise Financial Market Strength Events
Market strength indicators help investors to evaluate how Enterprise Financial stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Enterprise Financial shares will generate the highest return on investment. By undertsting and applying Enterprise Financial stock market strength indicators, traders can identify Enterprise Financial Services entry and exit signals to maximize returns.
Enterprise Financial Risk Indicators
The analysis of Enterprise Financial's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Enterprise Financial's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting enterprise stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 1.17 | |||
| Semi Deviation | 1.11 | |||
| Standard Deviation | 1.54 | |||
| Variance | 2.38 | |||
| Downside Variance | 1.58 | |||
| Semi Variance | 1.23 | |||
| Expected Short fall | (1.43) |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Story Coverage note for Enterprise Financial
The number of cover stories for Enterprise Financial depends on current market conditions and Enterprise Financial's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Enterprise Financial is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Enterprise Financial's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Enterprise Financial Short Properties
Enterprise Financial's future price predictability will typically decrease when Enterprise Financial's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Enterprise Financial Services often depends not only on the future outlook of the 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 | |
| Cash And Short Term Investments | 208.1 M |
Check out Historical Fundamental Analysis of Enterprise Financial to cross-verify your projections. You can also try the Equity Valuation module to check real value of public entities based on technical and fundamental data.
Will Regional Banks sector continue expanding? Could Enterprise diversify its offerings? Factors like these will boost the valuation of Enterprise Financial. Projected growth potential of Enterprise fundamentally drives upward valuation adjustments. Accurate valuation requires analyzing both current fundamentals and future growth trajectories. Every Enterprise Financial data point contributes insight, yet successful analysis hinges on identifying the most consequential variables.
Investors evaluate Enterprise Financial using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Enterprise Financial's intrinsic value—the estimated true worth—helps identify when the stock trades at a discount or premium to fair value. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. External factors like market trends, sector rotation, and investor psychology can cause Enterprise Financial's market price to deviate significantly from intrinsic value.
It's important to distinguish between Enterprise Financial's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Enterprise Financial should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, Enterprise Financial's market price signifies the transaction level at which participants voluntarily complete trades.