Orange County Bancorp Stock Price Prediction
| OBT Stock | USD 59.05 0.59 1.01% |
Oversold Vs Overbought
56
Oversold | Overbought |
Quarterly Earnings Growth (0.65) | EPS Estimate Next Quarter 1.43 | EPS Estimate Current Year 4.78 | EPS Estimate Next Year 5.575 | Wall Street Target Price 65 |
Using Orange County hype-based prediction, you can estimate the value of Orange County Bancorp from the perspective of Orange County 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 Orange County to buy its stock at a price that has no basis in reality. In that case, they are not buying Orange 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.
Orange County after-hype prediction price | USD 59.12 |
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.
Orange |
Orange County After-Hype Price Prediction Density Analysis
As far as predicting the price of Orange County 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 Orange County 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 Orange County, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Orange County Estimiated After-Hype Price Volatility
In the context of predicting Orange County's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Orange County's historical news coverage. Orange County's after-hype downside and upside margins for the prediction period are 56.02 and 62.22, respectively. We have considered Orange County'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
Orange County is very steady at this time. Analysis and calculation of next after-hype price of Orange County Bancorp is based on 3 months time horizon.
Orange County Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Orange County is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Orange County 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 Orange County, 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 |
0.07 | 3.10 | 0.07 | 0.00 | 10 Events / Month | 5 Events / Month | In about 10 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
59.05 | 59.12 | 0.12 |
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Orange County Hype Timeline
On the 29th of November Orange County Bancorp is traded for 59.05. The entity has historical hype elasticity of 0.07, and average elasticity to hype of competition of 0.0. Orange is forecasted to increase in value after the next headline, with the price projected to jump to 59.12 or above. The average volatility of media hype impact on the company the price is over 100%. The price appreciation on the next news is projected to be 0.12%, whereas the daily expected return is now at 0.07%. The volatility of related hype on Orange County is about 9538.46%, with the expected price after the next announcement by competition of 59.05. The company reported the last year's revenue of 93.94 M. Total Income to common stockholders was 29.48 M with profit before taxes, overhead, and interest of 80.57 M. Considering the 90-day investment horizon the next forecasted press release will be in about 10 days. Check out Orange County Basic Forecasting Models to cross-verify your projections.Orange County Related Hype Analysis
Having access to credible news sources related to Orange County's direct competition is more important than ever and may enhance your ability to predict Orange County's future price movements. Getting to know how Orange County'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 Orange County may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| KEY | KeyCorp | 0.42 | 6 per month | 1.39 | 0.06 | 2.99 | (2.54) | 19.76 | |
| CMA | Comerica | (1.39) | 10 per month | 1.35 | 0.14 | 3.23 | (2.64) | 14.10 | |
| FHN | First Horizon National | (0.07) | 10 per month | 1.25 | 0.12 | 3.77 | (2.49) | 18.94 | |
| WAL | Western Alliance Bancorporation | (0.61) | 11 per month | 2.14 | 0.05 | 3.91 | (3.17) | 19.53 | |
| FITB | Fifth Third Bancorp | (0.15) | 9 per month | 0.99 | 0.07 | 2.23 | (2.01) | 10.60 | |
| HBAN | Huntington Bancshares Incorporated | 0.11 | 8 per month | 0.88 | 0.11 | 2.75 | (2.28) | 14.20 | |
| USB | US Bancorp | (0.37) | 11 per month | 1.17 | 0.08 | 2.86 | (2.31) | 10.98 | |
| PNC | PNC Financial Services | 1.80 | 8 per month | 0.89 | 0.11 | 2.54 | (1.97) | 9.52 |
Orange County Additional Predictive Modules
Most predictive techniques to examine Orange price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Orange using various technical indicators. When you analyze Orange 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 | ||
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| Overlap Studies | ||
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| Statistic Functions | ||
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| Volume Indicators |
About Orange County Predictive Indicators
The successful prediction of Orange County 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 Orange County 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 Orange County based on analysis of Orange County hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Orange County's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Orange County's related companies. | 2021 | 2022 | 2023 | 2024 (projected) | Dividend Yield | 0.0202 | 0.0178 | 0.0153 | 0.0145 | Price To Sales Ratio | 2.77 | 2.91 | 3.61 | 3.1 |
Story Coverage note for Orange County
The number of cover stories for Orange County depends on current market conditions and Orange County's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Orange County 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 Orange County'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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Orange County Short Properties
Orange County's future price predictability will typically decrease when Orange County's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Orange County Bancorp often depends not only on the future outlook of the potential Orange County'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. Orange County's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 5.6 M | |
| Cash And Short Term Investments | 147.4 M |
Additional Tools for Orange Stock Analysis
When running Orange County's price analysis, check to measure Orange County'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 Orange County is operating at the current time. Most of Orange County's value examination focuses on studying past and present price action to predict the probability of Orange County's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Orange County's price. Additionally, you may evaluate how the addition of Orange County to your portfolios can decrease your overall portfolio volatility.