Bank of New York Stock Forward View - Simple Exponential Smoothing
| BK Stock | USD 119.92 1.57 1.29% |
Bank Stock outlook is based on your current time horizon. Although Bank of New York's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Bank of New York's systematic risk associated with finding meaningful patterns of Bank of New York fundamentals over time.
As of now, The relative strength index (RSI) of Bank of New York's share price is at 56 suggesting that the stock is in nutural position, most likellhy at or near its resistance level. The main idea of RSI analysis is to track how fast people are buying or selling Bank of New York, making its price go up or down. Momentum 56
Buy Extended
Oversold | Overbought |
Quarterly Earnings Growth 0.308 | EPS Estimate Next Quarter 1.845 | EPS Estimate Current Year 8.3192 | EPS Estimate Next Year 9.3458 | Wall Street Target Price 132.6 |
Using Bank of New York hype-based prediction, you can estimate the value of The Bank of 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 using crowd psychology based on the activity and movement of Bank of New York's stock price.
Bank of New York Short Interest
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 102.2996 | Short Percent 0.0102 | Short Ratio 1.87 | Shares Short Prior Month 10.6 M | 50 Day MA 116.189 |
Bank Relative Strength Index
The Simple Exponential Smoothing forecasted value of The Bank of on the next trading day is expected to be 119.92 with a mean absolute deviation of 1.04 and the sum of the absolute errors of 63.60.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 The Bank of. 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.
Bank of New York Implied Volatility | 0.67 |
Bank of New York's implied volatility exposes the market's sentiment of The Bank of 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.
The Simple Exponential Smoothing forecasted value of The Bank of on the next trading day is expected to be 119.92 with a mean absolute deviation of 1.04 and the sum of the absolute errors of 63.60. Bank of New York after-hype prediction price | USD 121.49 |
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.
Check out Historical Fundamental Analysis of Bank of New York to cross-verify your projections. Prediction based on Rule 16 of the current Bank contract
Based on the Rule 16, the options market is currently suggesting that The Bank of will have an average daily up or down price movement of about 0.0419% per day over the life of the 2026-03-20 option contract. With Bank of New York trading at USD 119.92, that is roughly USD 0.0502 . If you think that the market is fully incorporating Bank of New York's daily price movement you should consider acquiring The Bank of options at the current volatility level of 0.67%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
Open Interest Against 2026-03-20 Bank Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Bank of New York's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Bank of New York's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Bank of New York stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Bank of New York's open interest, investors have to compare it to Bank of New York's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Bank of New York is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Bank. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
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 |
Bank of New York Simple Exponential Smoothing Price Forecast For the 1st of February
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of The Bank of on the next trading day is expected to be 119.92 with a mean absolute deviation of 1.04, mean absolute percentage error of 1.87, and the sum of the absolute errors of 63.60.Please note that although there have been many attempts to predict Bank Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Bank of New York's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Bank of New York Stock Forecast Pattern
| Backtest Bank of New York | Bank of New York Price Prediction | Buy or Sell Advice |
Bank of New York Forecasted Value
In the context of forecasting Bank of New York's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Bank of New York's downside and upside margins for the forecasting period are 118.74 and 121.10, respectively. We have considered Bank of New York's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Bank of New York stock data series using in forecasting. Note that when a statistical model is used to represent Bank of New York stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 118.7362 |
| Bias | Arithmetic mean of the errors | -0.2023 |
| MAD | Mean absolute deviation | 1.0426 |
| MAPE | Mean absolute percentage error | 0.009 |
| SAE | Sum of the absolute errors | 63.6 |
Predictive Modules for Bank of New York
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Bank of New York. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Bank of New York After-Hype Price 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 120.32 and 122.66, 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 Outlook 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 |
0.19 | 1.18 | 0.10 | 0.47 | 7 Events / Month | 10 Events / Month | In about 7 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
119.92 | 121.49 | 0.00 |
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Bank of New York Hype Timeline
As of January 31, 2026 Bank of New York is listed for 119.92. The entity has historical hype elasticity of -0.1, and average elasticity to hype of competition of -0.47. Bank is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is over 100%. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is currently at 0.19%. %. The volatility of related hype on Bank of New York is about 47.48%, with the expected price after the next announcement by competition of 119.45. About 90.0% of the company shares are held by institutions such as insurance companies. The book value of Bank of New York was currently reported as 57.36. The company has Price/Earnings To Growth (PEG) ratio of 1.31. Bank of New York recorded earning per share (EPS) of 7.4. The entity last dividend was issued on the 23rd of January 2026. 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. Check out Historical Fundamental Analysis of Bank of New York 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.
Other Forecasting Options for Bank of New York
For every potential investor in Bank, whether a beginner or expert, Bank of New York's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Bank Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Bank. Basic forecasting techniques help filter out the noise by identifying Bank of New York's price trends.Bank of New York Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Bank of New York stock to make a market-neutral strategy. Peer analysis of Bank of New York could also be used in its relative valuation, which is a method of valuing Bank of New York by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Bank of New York Market Strength Events
Market strength indicators help investors to evaluate how Bank of New York stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Bank of New York shares will generate the highest return on investment. By undertsting and applying Bank of New York stock market strength indicators, traders can identify The Bank of entry and exit signals to maximize returns.
| Accumulation Distribution | 0.0225 | |||
| Daily Balance Of Power | (0.57) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 120.21 | |||
| Day Typical Price | 120.11 | |||
| Market Facilitation Index | 2.74 | |||
| Price Action Indicator | (1.07) | |||
| Period Momentum Indicator | (1.57) | |||
| Relative Strength Index | 56.44 |
Bank of New York Risk Indicators
The analysis of Bank of New York's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Bank of New York's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting bank stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 0.8617 | |||
| Semi Deviation | 0.9199 | |||
| Standard Deviation | 1.14 | |||
| Variance | 1.3 | |||
| Downside Variance | 1.39 | |||
| Semi Variance | 0.8462 | |||
| Expected Short fall | (0.92) |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
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.
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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 The Bank of 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 | 704.7 M | |
| Cash And Short Term Investments | 190.7 B |
Check out Historical Fundamental Analysis of Bank of New York to cross-verify your projections. You can also try the Portfolio Anywhere module to track or share privately all of your investments from the convenience of any device.
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. Projected growth potential of Bank fundamentally drives upward valuation adjustments. The financial industry is built on trying to define current growth potential and future valuation accurately. Comprehensive Bank of New York assessment requires weighing all these inputs, though not all factors influence outcomes equally.
Quarterly Earnings Growth 0.308 | Dividend Share 2 | Earnings Share 7.4 | Revenue Per Share | Quarterly Revenue Growth 0.078 |
Investors evaluate Bank of New York using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Bank of New York's intrinsic value—the estimated true worth—helps identify when the stock trades at a discount or premium to fair value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. External factors like market trends, sector rotation, and investor psychology can cause Bank of New York's market price to deviate significantly from intrinsic value.
It's important to distinguish between Bank of New York's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Bank of New York should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, Bank of New York's market price signifies the transaction level at which participants voluntarily complete trades.