Bank of Ireland (Ireland) Price Prediction
| BIRG Stock | EUR 8.87 0.13 1.49% |
Oversold Vs Overbought
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Oversold | Overbought |
Using Bank of Ireland hype-based prediction, you can estimate the value of Bank of Ireland from the perspective of Bank of Ireland 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 Bank of Ireland to buy its stock at a price that has no basis in reality. In that case, they are not buying Bank 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.
Bank of Ireland after-hype prediction price | EUR 8.87 |
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.
Bank |
Bank of Ireland After-Hype Price Prediction Density Analysis
As far as predicting the price of Bank of Ireland 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 Bank of Ireland 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 Bank of Ireland, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Bank of Ireland Estimiated After-Hype Price Volatility
In the context of predicting Bank of Ireland's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Bank of Ireland's historical news coverage. Bank of Ireland's after-hype downside and upside margins for the prediction period are 6.96 and 10.78, respectively. We have considered Bank of Ireland'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
Bank of Ireland is not too volatile at this time. Analysis and calculation of next after-hype price of Bank of Ireland is based on 3 months time horizon.
Bank of Ireland Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Bank of Ireland is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Bank of Ireland 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 Bank of Ireland, 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 |
0.21 | 1.91 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | In 5 to 10 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
8.87 | 8.87 | 0.00 |
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Bank of Ireland Hype Timeline
Bank of Ireland is currently traded for 8.87on Irish Exchange of Ireland. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Bank is projected not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is projected to be very small, whereas the daily expected return is currently at -0.21%. %. The volatility of related hype on Bank of Ireland is about 0.0%, with the expected price after the next announcement by competition of 8.87. About 63.0% of the company shares are held by institutions such as insurance companies. The company has price-to-book (P/B) ratio of 0.72. Some equities with similar Price to Book (P/B) outperform the market in the long run. Bank of Ireland last dividend was issued on the 12th of May 2022. The entity had 1:30 split on the 7th of July 2017. Assuming the 90 days trading horizon the next projected press release will be in 5 to 10 days. Check out Bank of Ireland Basic Forecasting Models to cross-verify your projections.Bank of Ireland Related Hype Analysis
Having access to credible news sources related to Bank of Ireland's direct competition is more important than ever and may enhance your ability to predict Bank of Ireland's future price movements. Getting to know how Bank of Ireland'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 Bank of Ireland may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| A5G | AIB Group PLC | 0.00 | 0 per month | 1.75 | (0.01) | 2.68 | (3.14) | 8.53 | |
| KRX | Kingspan Group plc | 0.00 | 0 per month | 0.00 | (0.14) | 2.15 | (3.05) | 8.18 | |
| GL9 | Glanbia PLC | 0.00 | 0 per month | 0.00 | (0.1) | 2.10 | (2.55) | 11.56 | |
| RYA | Ryanair Holdings plc | 0.00 | 0 per month | 0.95 | 0.15 | 3.11 | (2.20) | 8.92 |
Bank of Ireland Additional Predictive Modules
Most predictive techniques to examine Bank price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Bank using various technical indicators. When you analyze Bank 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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About Bank of Ireland Predictive Indicators
The successful prediction of Bank of Ireland 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 Bank of Ireland, 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 Bank of Ireland based on analysis of Bank of Ireland hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Bank of Ireland's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Bank of Ireland's related companies.
Story Coverage note for Bank of Ireland
The number of cover stories for Bank of Ireland depends on current market conditions and Bank of Ireland's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Bank of Ireland 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 Bank of Ireland'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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Bank of Ireland Short Properties
Bank of Ireland's future price predictability will typically decrease when Bank of Ireland's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Bank of Ireland often depends not only on the future outlook of the potential Bank of Ireland'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. Bank of Ireland's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 1.1 B | |
| Cash And Short Term Investments | 32.8 B |
Additional Tools for Bank Stock Analysis
When running Bank of Ireland's price analysis, check to measure Bank of Ireland'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 Bank of Ireland is operating at the current time. Most of Bank of Ireland's value examination focuses on studying past and present price action to predict the probability of Bank of Ireland's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Bank of Ireland's price. Additionally, you may evaluate how the addition of Bank of Ireland to your portfolios can decrease your overall portfolio volatility.