New York Community Price Prediction
| NYCBDelisted Stock | USD 10.81 0.20 1.82% |
Oversold Vs Overbought
40
Oversold | Overbought |
Using New York hype-based prediction, you can estimate the value of New York Community from the perspective of New York 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 New York to buy its stock at a price that has no basis in reality. In that case, they are not buying New 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.
New York after-hype prediction price | USD 10.79 |
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 delisted stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
New |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of New York'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.
New York After-Hype Price Prediction Density Analysis
As far as predicting the price of New York 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 New York 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 New York, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
New York Estimiated After-Hype Price Volatility
In the context of predicting New York's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on New York's historical news coverage. New York's after-hype downside and upside margins for the prediction period are 7.21 and 14.37, respectively. We have considered New York'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
New York is somewhat reliable at this time. Analysis and calculation of next after-hype price of New York Community is based on 3 months time horizon.
New York Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as New York is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading New York 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 Delisted 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 New York, 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 |
0.12 | 3.58 | 0.02 | 0.06 | 8 Events / Month | 8 Events / Month | In about 8 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
10.81 | 10.79 | 0.19 |
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New York Hype Timeline
New York Community is now traded for 10.81. The entity has historical hype elasticity of -0.02, and average elasticity to hype of competition of 0.06. New is forecasted to decline in value after the next headline, with the price expected to drop to 10.79. 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 -0.19%, whereas the daily expected return is now at 0.12%. The volatility of related hype on New York is about 776.96%, with the expected price after the next announcement by competition of 10.87. About 70.0% of the company shares are owned by institutional investors. The company has price-to-book ratio of 0.54. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. New York Community has Price/Earnings To Growth (PEG) ratio of 0.47. The entity recorded a loss per share of 14.5. The firm last dividend was issued on the 6th of September 2024. New York had 1:3 split on the 12th of July 2024. Given the investment horizon of 90 days the next forecasted press release will be in about 8 days. Check out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in main economic indicators.New York Related Hype Analysis
Having access to credible news sources related to New York's direct competition is more important than ever and may enhance your ability to predict New York's future price movements. Getting to know how New York'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 New York may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| KEY | KeyCorp | 0.03 | 5 per month | 1.37 | 0.05 | 2.99 | (2.54) | 19.76 | |
| FITB | Fifth Third Bancorp | 0.88 | 7 per month | 0.99 | 0.05 | 2.23 | (2.01) | 10.60 | |
| RF | Regions Financial | (0.13) | 9 per month | 0.92 | 0.08 | 2.38 | (1.66) | 14.81 | |
| ZION | Zions Bancorporation | (0.39) | 11 per month | 1.47 | 0.08 | 3.51 | (2.89) | 20.65 | |
| HBAN | Huntington Bancshares Incorporated | 0.26 | 7 per month | 0.88 | 0.10 | 2.75 | (2.28) | 14.20 | |
| CMA | Comerica | (0.21) | 8 per month | 1.33 | 0.13 | 3.23 | (2.64) | 14.10 | |
| WAL | Western Alliance Bancorporation | (0.61) | 11 per month | 2.14 | 0.05 | 3.91 | (3.17) | 19.53 | |
| USB | US Bancorp | (0.98) | 12 per month | 1.16 | 0.06 | 2.86 | (2.31) | 10.98 | |
| MTB | MT Bank | 4.87 | 8 per month | 0.84 | 0.13 | 3.41 | (1.59) | 16.03 | |
| PACW | PacWest Bancorp | 0.00 | 0 per month | 11.32 | 0.05 | 17.58 | (14.58) | 104.70 | |
| FHN | First Horizon National | (0.07) | 10 per month | 1.23 | 0.11 | 3.77 | (2.49) | 18.94 | |
| TFC | Truist Financial Corp | 0.54 | 9 per month | 1.19 | 0.01 | 2.26 | (2.46) | 12.77 | |
| PNC | PNC Financial Services | 1.80 | 8 per month | 0.88 | 0.09 | 2.54 | (1.97) | 9.52 |
New York Additional Predictive Modules
Most predictive techniques to examine New price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for New using various technical indicators. When you analyze New 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 New York Predictive Indicators
The successful prediction of New York 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 New York Community, 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 New York based on analysis of New York hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to New York's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to New York's related companies.
Story Coverage note for New York
The number of cover stories for New York depends on current market conditions and New York's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that New York 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 New York'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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New York Short Properties
New York's future price predictability will typically decrease when New York's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of New York Community often depends not only on the future outlook of the potential New York'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. New York's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 237.9 M | |
| Cash And Short Term Investments | 11.5 B |
Check out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in main economic indicators. You can also try the Money Managers module to screen money managers from public funds and ETFs managed around the world.
Other Consideration for investing in New Stock
If you are still planning to invest in New York Community check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the New York's history and understand the potential risks before investing.
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