Customers Bancorp Stock Forward View - Simple Regression
| CUBB Stock | USD 22.50 0.10 0.45% |
Customers Stock outlook is based on your current time horizon. Investors can use this forecasting interface to forecast Customers Bancorp stock prices and determine the direction of Customers Bancorp's future trends based on various well-known forecasting models. We suggest always using this module together with an analysis of Customers Bancorp's historical fundamentals, such as revenue growth or operating cash flow patterns.
The relative strength index (RSI) of Customers Bancorp's stock price is about 61 suggesting that the stock is rather overbought by investors at the present time. The main point of the Relative Strength Index (RSI) is to track how fast people are buying or selling Customers, making its price go up or down. Momentum 61
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Oversold | Overbought |
Using Customers Bancorp hype-based prediction, you can estimate the value of Customers Bancorp from the perspective of Customers Bancorp response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of Customers Bancorp on the next trading day is expected to be 22.81 with a mean absolute deviation of 0.20 and the sum of the absolute errors of 12.05. Customers Bancorp after-hype prediction price | USD 22.49 |
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.
Customers | Build AI portfolio with Customers Stock |
Customers Bancorp Additional Predictive Modules
Most predictive techniques to examine Customers price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Customers using various technical indicators. When you analyze Customers 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 |
Customers Bancorp Simple Regression Price Forecast For the 4th of February
Given 90 days horizon, the Simple Regression forecasted value of Customers Bancorp on the next trading day is expected to be 22.81 with a mean absolute deviation of 0.20, mean absolute percentage error of 0.05, and the sum of the absolute errors of 12.05.Please note that although there have been many attempts to predict Customers Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Customers Bancorp's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Customers Bancorp Stock Forecast Pattern
| Backtest Customers Bancorp | Customers Bancorp Price Prediction | Research Analysis |
Customers Bancorp Forecasted Value
In the context of forecasting Customers Bancorp'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. Customers Bancorp's downside and upside margins for the forecasting period are 22.10 and 23.52, respectively. We have considered Customers Bancorp'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 Simple Regression forecasting method's relative quality and the estimations of the prediction error of Customers Bancorp stock data series using in forecasting. Note that when a statistical model is used to represent Customers Bancorp 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 | 115.1206 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.1975 |
| MAPE | Mean absolute percentage error | 0.009 |
| SAE | Sum of the absolute errors | 12.0486 |
Predictive Modules for Customers Bancorp
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Customers Bancorp. 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.Customers Bancorp After-Hype Price Density Analysis
As far as predicting the price of Customers Bancorp 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 Customers Bancorp 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 Customers Bancorp, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Customers Bancorp Estimiated After-Hype Price Volatility
In the context of predicting Customers Bancorp's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Customers Bancorp's historical news coverage. Customers Bancorp's after-hype downside and upside margins for the prediction period are 21.78 and 23.20, respectively. We have considered Customers Bancorp'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 compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Customers Bancorp is very steady at this time. Analysis and calculation of next after-hype price of Customers Bancorp is based on 3 months time horizon.
Customers Bancorp Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Customers Bancorp is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Customers Bancorp 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 Customers Bancorp, 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 |
0.14 | 0.71 | 0.01 | 0.15 | 11 Events / Month | 7 Events / Month | In about 11 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
22.50 | 22.49 | 0.04 |
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Customers Bancorp Hype Timeline
Customers Bancorp is currently traded for 22.50. The entity has historical hype elasticity of -0.01, and average elasticity to hype of competition of 0.15. Customers is forecasted to decline in value after the next headline, with the price expected to drop to 22.49. The average volatility of media hype impact on the company price is over 100%. The price decrease on the next news is expected to be -0.04%, whereas the daily expected return is currently at 0.14%. The volatility of related hype on Customers Bancorp is about 64.49%, with the expected price after the next announcement by competition of 22.65. The company last dividend was issued on the 30th of December 2025. Given the investment horizon of 90 days the next forecasted press release will be in about 11 days. Check out Historical Fundamental Analysis of Customers Bancorp to cross-verify your projections.Customers Bancorp Related Hype Analysis
Having access to credible news sources related to Customers Bancorp's direct competition is more important than ever and may enhance your ability to predict Customers Bancorp's future price movements. Getting to know how Customers Bancorp'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 Customers Bancorp may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| CUBI | Customers Bancorp | (2.40) | 11 per month | 1.79 | 0.09 | 3.73 | (2.67) | 14.63 | |
| FBNC | First Bancorp | 1.18 | 10 per month | 1.30 | 0.13 | 3.02 | (1.68) | 9.98 | |
| EFSC | Enterprise Financial Services | 0.41 | 8 per month | 1.17 | 0.06 | 2.79 | (1.83) | 9.13 | |
| SYBT | Stock Yards Bancorp | 0.25 | 6 per month | 1.44 | (0) | 3.29 | (1.87) | 9.60 | |
| BUSE | First Busey Corp | 0.96 | 8 per month | 1.35 | 0.07 | 3.20 | (2.63) | 7.86 | |
| HTH | Hilltop Holdings | 0.05 | 9 per month | 0.97 | 0.12 | 2.26 | (1.29) | 7.38 | |
| NIC | Nicolet Bankshares | 10.01 | 9 per month | 1.37 | 0.14 | 3.09 | (2.78) | 13.07 | |
| NBTB | NBT Bancorp | (0.79) | 6 per month | 1.29 | 0.07 | 3.31 | (2.16) | 8.92 | |
| FRME | First Merchants | (0.08) | 7 per month | 1.21 | 0.09 | 2.84 | (1.59) | 8.32 | |
| BANR | Banner | 1.42 | 9 per month | 1.66 | (0.01) | 2.94 | (1.87) | 10.80 |
Other Forecasting Options for Customers Bancorp
For every potential investor in Customers, whether a beginner or expert, Customers Bancorp's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Customers Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Customers. Basic forecasting techniques help filter out the noise by identifying Customers Bancorp's price trends.Customers Bancorp 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 Customers Bancorp stock to make a market-neutral strategy. Peer analysis of Customers Bancorp could also be used in its relative valuation, which is a method of valuing Customers Bancorp by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Customers Bancorp Market Strength Events
Market strength indicators help investors to evaluate how Customers Bancorp stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Customers Bancorp shares will generate the highest return on investment. By undertsting and applying Customers Bancorp stock market strength indicators, traders can identify Customers Bancorp entry and exit signals to maximize returns.
Customers Bancorp Risk Indicators
The analysis of Customers Bancorp'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 Customers Bancorp's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting customers 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 | 0.5415 | |||
| Semi Deviation | 0.43 | |||
| Standard Deviation | 0.7308 | |||
| Variance | 0.5341 | |||
| Downside Variance | 0.4441 | |||
| Semi Variance | 0.1849 | |||
| Expected Short fall | (0.63) |
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 Customers Bancorp
The number of cover stories for Customers Bancorp depends on current market conditions and Customers Bancorp's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Customers Bancorp 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 Customers Bancorp'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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Customers Bancorp Short Properties
Customers Bancorp's future price predictability will typically decrease when Customers Bancorp's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Customers Bancorp often depends not only on the future outlook of the potential Customers Bancorp'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. Customers Bancorp's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 33.4 M | |
| Cash And Short Term Investments | 2 B |
Check out Historical Fundamental Analysis of Customers Bancorp to cross-verify your projections. For information on how to trade Customers Stock refer to our How to Trade Customers Stock guide.You can also try the Stocks Directory module to find actively traded stocks across global markets.
Is Regional Banks space 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 Customers Bancorp. Projected growth potential of Customers fundamentally drives upward valuation adjustments. The financial industry is built on trying to define current growth potential and future valuation accurately. Comprehensive Customers Bancorp assessment requires weighing all these inputs, though not all factors influence outcomes equally.
Customers Bancorp's market price often diverges from its book value, the accounting figure shown on Customers's balance sheet. Smart investors calculate Customers Bancorp's intrinsic value - its true economic worth - which may differ significantly from both market price and book value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Since Customers Bancorp's trading price responds to investor sentiment, macroeconomic conditions, and market psychology, it can swing far from fundamental value.
It's important to distinguish between Customers Bancorp's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Customers Bancorp should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. However, Customers Bancorp'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.