Pcb Bancorp Stock Price Prediction
PCB Stock | USD 21.49 0.48 2.28% |
Oversold Vs Overbought
67
Oversold | Overbought |
Quarterly Earnings Growth 0.062 | EPS Estimate Next Quarter 0.47 | EPS Estimate Current Year 1.8067 | EPS Estimate Next Year 1.96 | Wall Street Target Price 20.5 |
Using PCB Bancorp hype-based prediction, you can estimate the value of PCB Bancorp from the perspective of PCB Bancorp response to recently generated media hype and the effects of current headlines on its competitors.
The fear of missing out, i.e., FOMO, can cause potential investors in PCB Bancorp to buy its stock at a price that has no basis in reality. In that case, they are not buying PCB because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
PCB Bancorp after-hype prediction price | USD 21.52 |
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.
PCB |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of PCB Bancorp'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.
PCB Bancorp After-Hype Price Prediction Density Analysis
As far as predicting the price of PCB 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 PCB 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 PCB Bancorp, with the unreliable approximations that try to describe financial returns.
Next price density |
Expected price to next headline |
PCB Bancorp Estimiated After-Hype Price Volatility
In the context of predicting PCB Bancorp's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on PCB Bancorp's historical news coverage. PCB Bancorp's after-hype downside and upside margins for the prediction period are 19.74 and 23.30, respectively. We have considered PCB 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 outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
PCB Bancorp is very steady at this time. Analysis and calculation of next after-hype price of PCB Bancorp is based on 3 months time horizon.
PCB Bancorp Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as PCB Bancorp is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading PCB 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 PCB 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 |
0.24 | 1.80 | 0.01 | 0.02 | 6 Events / Month | 10 Events / Month | In about 6 days |
Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
21.49 | 21.52 | 0.05 |
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PCB Bancorp Hype Timeline
On the 30th of November PCB Bancorp is traded for 21.49. The entity has historical hype elasticity of 0.01, and average elasticity to hype of competition of -0.02. PCB is forecasted to increase in value after the next headline, with the price projected to jump to 21.52 or above. The average volatility of media hype impact on the company the price is over 100%. The price jump on the next news is projected to be 0.05%, whereas the daily expected return is at this time at 0.24%. The volatility of related hype on PCB Bancorp is about 2045.45%, with the expected price after the next announcement by competition of 21.47. The company reported the last year's revenue of 99.32 M. Total Income to common stockholders was 30.7 M with profit before taxes, overhead, and interest of 100.53 M. Considering the 90-day investment horizon the next forecasted press release will be in about 6 days. Check out PCB Bancorp Basic Forecasting Models to cross-verify your projections.PCB Bancorp Related Hype Analysis
Having access to credible news sources related to PCB Bancorp's direct competition is more important than ever and may enhance your ability to predict PCB Bancorp's future price movements. Getting to know how PCB 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 PCB Bancorp may potentially react to the hype associated with one of its peers.
PCB Bancorp Additional Predictive Modules
Most predictive techniques to examine PCB price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for PCB using various technical indicators. When you analyze PCB 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 |
About PCB Bancorp Predictive Indicators
The successful prediction of PCB Bancorp stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as PCB Bancorp, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of PCB Bancorp based on analysis of PCB Bancorp hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to PCB Bancorp's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to PCB Bancorp's related companies. 2021 | 2022 | 2023 (projected) | Dividend Yield | 0.0202 | 0.0341 | 0.0376 | Price To Sales Ratio | 3.45 | 2.52 | 2.65 |
Story Coverage note for PCB Bancorp
The number of cover stories for PCB Bancorp depends on current market conditions and PCB 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 PCB 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 PCB 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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PCB Bancorp Short Properties
PCB Bancorp's future price predictability will typically decrease when PCB Bancorp's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of PCB Bancorp often depends not only on the future outlook of the potential PCB 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. PCB Bancorp's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding | 14.4 M | |
Cash And Short Term Investments | 242.3 M |
Complementary Tools for PCB Stock analysis
When running PCB Bancorp's price analysis, check to measure PCB Bancorp'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 PCB Bancorp is operating at the current time. Most of PCB Bancorp's value examination focuses on studying past and present price action to predict the probability of PCB Bancorp's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move PCB Bancorp's price. Additionally, you may evaluate how the addition of PCB Bancorp to your portfolios can decrease your overall portfolio volatility.
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