Bank of New York Stock Future Price Prediction


USD 45.03  0.37  0.83%   

Bank of New York stock price prediction is an act of determining the future value of Bank of New York shares using few different conventional methods such as EPS estimation, analyst consensus, or fundamental intrinsic valuation. The successful prediction of Bank of New York's future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of Bank of New York and does not consider all of the tangible or intangible factors available from Bank of New York's fundamental data. We analyze noise-free headlines and recent hype associated with Bank Of New, which may create opportunities for some arbitrage if properly timed.
Continue to Bank of New York Basic Forecasting Models to cross-verify your projections.
It is a matter of debate whether stock price prediction based on information in financial news can generate a strong buy or sell signal. We use our internally-built news screening methodology to estimate the value of Bank of New York based on different types of headlines from major news networks to social media. The Bank of New York stock price prediction module provides an analysis of price elasticity to changes in media outlook on Bank of New York over a specific investment horizon.
Quarterly Earnings Growth YOY
EPS Estimate Next Quarter
EPS Estimate Current Year
EPS Estimate Next Year
Wall Street Target Price
EPS Estimate Current Quarter
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. We also analyze overall investor sentiment towards Bank of New York using Bank of New York's stock options and short interest. It helps to benchmark the overall future attitude of investors towards Bank of New York using crowd psychology based on the activity and movement of Bank of New York's stock price.
Bank of New York Revenue to Assets are decreasing as compared to previous years. The last year's value of Revenue to Assets was reported at 0.036356. The current Asset Turnover is estimated to increase to 0.0342, while Total Assets Per Share are projected to decrease to 444.59.

Bank of New York Short Interest

A significant increase or decrease in Bank of New York's short interest from the previous month could be a good indicator of investor sentiment towards Bank of New York. Short interest can provide insight into the potential direction of Bank of New York stock and how bullish or bearish investors feel about the market overall. An investor who is long Bank of New York may also wish to track short interest. As short interest increases, investors should be becoming more worried about Bank of New York and may potentially protect profits, hedge Bank of New York with its derivative instruments, or be ready for some potential downside.
200 Day MA
Short Percent
Short Ratio
Shares Short Prior Month
7.6 M
50 Day MA
Shares Short
8.3 M

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 investment in Bank of New York. The trend in average sentiment can be used to explain how an investor holding Bank of New York can time the market purely based on public headlines and social activities around Bank Of New. Please note that most equiteis 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.

Bank of New York Implied Volatility

Bank of New York's implied volatility exposes the market's sentiment of Bank Of New stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Bank of New York's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Bank of New York stock will not fluctuate a lot when Bank of New York's options are near their expiration.
This module is based on analyzing investor sentiment around taking a position in Bank of New York. This speculative approach is based exclusively on the idea that markets are driven by emotions such as investor fear and greed. 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 of New York 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

  $ 44.65  
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.

Prediction based on Rule 16 of the current Bank of New York contract

Based on the Rule 16, the options market is currently suggesting that Bank Of New will have an average daily up or down price movement of about 0.69% per day over the life of the 2022-08-19 option contract. With Bank of New York trading at $45.03, that is roughly $0.31. If you think that the market is fully incorporating Bank of New York's daily price movement you should consider acquiring Bank Of New options at the current volatility level of 10.98%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Bank 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. Please use the tools below to analyze the current value of Bank of New York in the context of predictive analytics.
LowReal ValueHigh
LowNext ValueHigh
12 Analysts
LowTarget PriceHigh
Estimates (7)
LowProjected EPSHigh
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Bank of New York. Your research has to be compared to or analyzed against Bank of New York's peers to derive any actionable benefits. When done correctly, Bank of New York's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in Bank of New York.

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 42.83 and 46.47, 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 45.03
After-hype Price
Bank of New York is very steady asset. 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 ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
 0.03  1.82  0.00   0.00  7 Events / Month1 Events / MonthIn about 7 days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility

Bank of New York Hype Timeline

As of August 19, 2022 Bank of New York is listed for 45.03. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Bank of New York is forecasted to decline in value after the next headline with the price expected to drop to 44.65. The average volatility of media hype impact on the company price is over 100%. The price decline on the next newsis expected to be -0.02% whereas the daily expected return is currently at 0.03%. The volatility of related hype on Bank of New York is about 18200.0% with expected price after next announcement by competition of 45.03. About 85.0% of the company shares are held by institutions such as insurance companies. The company has price-to-book (P/B) ratio of 0.95. 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 1.58. The entity last dividend was issued on the 22nd of July 2022. 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 7 days.
Continue to 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 rivals 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.

Bank of New York Additional Predictive Modules

Most predictive techniques to examine Bank of New York 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 of New York using various technical indicators. When you analyze Bank of New York 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.

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.
 2019 2020 2021 2022 (projected)
PPandE Turnover7.634.684.594.72
Calculated Tax Rate20.0518.8518.8723.58

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.

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.
Shares Percent Shares Out0.90%
Trailing Annual Dividend Rate1.27
Short Percent Of Float0.90%
Float Shares806.71M
Shares Short Prior Month7.29M
Average Daily Volume Last 10 Day2.44M
Average Daily Volume In Three Month3.86M
Date Short Interest15th of July 2022
Trailing Annual Dividend Yield2.86%
Continue to Bank of New York Basic Forecasting Models to cross-verify your projections. Note that the Bank of New York information on this page should be used as a complementary analysis to other Bank of New York's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Focused Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.

Complementary Tools for Bank of New York Stock analysis

When running Bank of New York price analysis, check to measure Bank of New York'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 New York is operating at the current time. Most of Bank of New York's value examination focuses on studying past and present price action to predict the probability of Bank of New York's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move Bank of New York's price. Additionally, you may evaluate how the addition of Bank of New York to your portfolios can decrease your overall portfolio volatility.
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Is Bank of New York's industry 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 of New York 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 YOY
Market Capitalization
36.4 B
Quarterly Revenue Growth YOY
Return On Assets
Return On Equity
The market value of Bank of New York is measured differently than its book value, which is the value of Bank of New York 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 Bank of New York value 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.