Bank Of New Stock Price Prediction
BK Stock | USD 81.74 0.47 0.58% |
Oversold Vs Overbought
60
Oversold | Overbought |
Quarterly Earnings Growth 0.22 | EPS Estimate Next Quarter 1.47 | EPS Estimate Current Year 5.8235 | EPS Estimate Next Year 6.5692 | Wall Street Target Price 81.3569 |
Using Bank of New York hype-based prediction, you can estimate the value of Bank of New from the perspective of Bank of New York response to recently generated media hype and the effects of current headlines on its competitors.
Bank of New York Hype to Price Pattern
Investor biases related to Bank of New York's public news can be used to forecast risks associated with an investment in Bank. The trend in average sentiment can be used to explain how an investor holding Bank can time the market purely based on public headlines and social activities around Bank of New. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of Bank of New York's market sentiment to its price can help taders to make decisions based on the overall investors consensus about Bank of New York.
The fear of missing out, i.e., FOMO, can cause potential investors in Bank of New York 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 New York after-hype prediction price | USD 81.68 |
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 New York After-Hype Price Prediction Density Analysis
As far as predicting the price of Bank 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 Bank of 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 Bank of New York, with the unreliable approximations that try to describe financial returns.
Next price density |
Expected price to next headline |
Bank of New York Estimiated After-Hype Price Volatility
In the context of predicting Bank of 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 Bank of New York's historical news coverage. Bank of New York's after-hype downside and upside margins for the prediction period are 80.60 and 82.76, respectively. We have considered Bank of 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
Bank of New York is very steady at this time. Analysis and calculation of next after-hype price of Bank of New York is based on 3 months time horizon.
Bank of New York Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Bank of New York is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Bank of 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 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 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 |
0.30 | 1.08 | 0.06 | 0.03 | 9 Events / Month | 8 Events / Month | In about 9 days |
Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
81.74 | 81.68 | 0.07 |
|
Bank of New York Hype Timeline
As of November 28, 2024 Bank of New York is listed for 81.74. The entity has historical hype elasticity of -0.06, and average elasticity to hype of competition of 0.03. Bank is forecasted to decline in value after the next headline, with the price expected to drop to 81.68. The average volatility of media hype impact on the company price is over 100%. The price decline on the next news is expected to be -0.07%, whereas the daily expected return is currently at 0.3%. The volatility of related hype on Bank of New York is about 1136.84%, with the expected price after the next announcement by competition of 81.77. About 88.0% of the company shares are held by institutions such as insurance companies. The company has price-to-book (P/B) ratio of 1.57. Some equities with similar Price to Book (P/B) outperform the market in the long run. Bank of New York has Price/Earnings To Growth (PEG) ratio of 0.74. The entity last dividend was issued on the 21st of October 2024. The firm had 9434:10000 split on the 2nd of July 2007. Allowing for the 90-day total investment horizon the next forecasted press release will be in about 9 days. Check out Bank of New York Basic Forecasting Models to cross-verify your projections.Bank of New York Related Hype Analysis
Having access to credible news sources related to Bank of New York's direct competition is more important than ever and may enhance your ability to predict Bank of New York's future price movements. Getting to know how Bank of 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 Bank of New York may potentially react to the hype associated with one of its peers.
HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
NTRS | Northern Trust | 1.42 | 12 per month | 0.58 | 0.15 | 2.39 | (1.40) | 9.54 | |
IVZ | Invesco Plc | (0.22) | 11 per month | 1.52 | (0.01) | 2.82 | (2.97) | 6.84 | |
BEN | Franklin Resources | 0.24 | 8 per month | 1.56 | 0.01 | 2.77 | (2.18) | 6.27 | |
TROW | T Rowe Price | 1.49 | 7 per month | 1.14 | 0.06 | 2.24 | (2.04) | 7.96 | |
STT | State Street Corp | (0.36) | 8 per month | 0.74 | 0.10 | 2.46 | (1.47) | 5.94 | |
SEIC | SEI Investments | (0.48) | 11 per month | 0.57 | 0.16 | 1.57 | (1.56) | 7.23 | |
PFG | Principal Financial Group | (0.26) | 9 per month | 1.34 | 0.02 | 2.17 | (2.20) | 9.84 | |
AMG | Affiliated Managers Group | 1.51 | 9 per month | 1.92 | 0.01 | 2.55 | (1.81) | 13.03 | |
AMP | Ameriprise Financial | (1.91) | 7 per month | 0.70 | 0.17 | 2.18 | (1.66) | 13.90 | |
JHG | Janus Henderson Group | (0.48) | 12 per month | 0.97 | 0.13 | 2.65 | (2.10) | 8.21 |
Bank of New York 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 | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
About Bank of New York Predictive Indicators
The successful prediction of Bank 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 Bank of New, 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 New York based on analysis of Bank of New York hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Bank of New York's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Bank of New York's related companies. 2021 | 2022 | 2023 | 2024 (projected) | Dividend Yield | 0.0267 | 0.0373 | 0.0364 | 0.0318 | Price To Sales Ratio | 3.17 | 2.3 | 2.36 | 2.69 |
Story Coverage note for Bank of New York
The number of cover stories for Bank of New York depends on current market conditions and Bank of 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 Bank of 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 Bank of New York's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Contributor Headline
Latest Perspective From Macroaxis
Bank of New York Short Properties
Bank of New York's future price predictability will typically decrease when Bank of New York's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Bank of New often depends not only on the future outlook of the potential Bank of 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. Bank of New York's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding | 787.8 M | |
Cash And Short Term Investments | 33.8 B |
Check out Bank of New York Basic Forecasting Models to cross-verify your projections. You can also try the Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
Is Asset Management & Custody 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 Bank of New York. If investors know Bank will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Bank of New York listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 0.22 | Dividend Share 1.73 | Earnings Share 4.47 | Revenue Per Share 23.65 | Quarterly Revenue Growth 0.047 |
The market value of Bank of New York is measured differently than its book value, which is the value of Bank that is recorded on the company's balance sheet. Investors also form their own opinion of Bank of New York's value that differs from its market value or its book value, called intrinsic value, which is Bank of New York's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Bank of New York's market value can be influenced by many factors that don't directly affect Bank of New York's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Bank of New York's value and its price as these two are different measures arrived at by different means. Investors typically determine if Bank of New York is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Bank of New York'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.