Bank Of New Stock Overlap Studies Bollinger Bands

BK Stock  USD 78.88  1.01  1.30%   
Bank of New York overlap studies tool provides the execution environment for running the Bollinger Bands study and other technical functions against Bank of New York. Bank of New York value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of overlap studies indicators. As with most other technical indicators, the Bollinger Bands study function is designed to identify and follow existing trends. Bank of New York overlay technical analysis usually involve calculating upper and lower limits of price movements based on various statistical techniques. Please specify the following input to run this model: Time Period, Deviations up, Deviations down, and MA Type.

Execute Study
The output start index for this execution was nineteen with a total number of output elements of fourty-two. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Bank of New York middle band is a simple moving average of its typical price. The upper and lower bands are (N) standard deviations above and below the middle band. The bands widen and narrow when the volatility of the price is higher or lower, respectively. The upper and lower bands can also be interpreted as price targets for Bank of New York. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.

Bank of New York Technical Analysis Modules

Most technical analysis of Bank of New York help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Bank from various momentum indicators to cycle 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.

About Bank of New York Predictive Technical Analysis

Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Bank of New. We use our internally-developed statistical techniques to arrive at the intrinsic value of Bank of New based on widely used predictive technical indicators. In general, we focus on analyzing Bank Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Bank of New York's daily price indicators and compare them against related drivers, such as overlap studies and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Bank of New York's intrinsic value. In addition to deriving basic predictive indicators for Bank of New York, we also check how macroeconomic factors affect Bank of New York price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2021 2022 2023 2024 (projected)
Dividend Yield0.02670.03730.03640.0318
Price To Sales Ratio3.172.32.352.69
Hype
Prediction
LowEstimatedHigh
77.6878.7479.80
Details
Intrinsic
Valuation
LowRealHigh
69.7170.7786.77
Details
Naive
Forecast
LowNextHigh
78.0179.0880.14
Details
17 Analysts
Consensus
LowTargetHigh
47.5952.3058.05
Details

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As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.

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Bank of New York pair trading

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Bank of New York position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Bank of New York will appreciate offsetting losses from the drop in the long position's value.

Bank of New York Pair Trading

Bank of New Pair Trading Analysis

The ability to find closely correlated positions to Bank of New York could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Bank of New York when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Bank of New York - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Bank of New to buy it.
The correlation of Bank of New York is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Bank of New York moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Bank of New York moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Bank of New York can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching
Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Bank of New. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in industry.
You can also try the Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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.