Bank of New York Stock Market Value

BK
 Stock
  

USD 41.71  0.70  1.65%   

Bank of New York's market value is the price at which a share of Bank of New York stock trades on a public exchange. It measures the collective expectations of Bank Of New investors about the entity's future performance. With this module, you can estimate the performance of a buy and hold strategy of Bank Of New and determine expected loss or profit from investing in Bank of New York over a given investment horizon. Continue to Bank of New York Hype Analysis, Bank of New York Correlation, Bank of New York Valuation, Bank of New York Volatility, as well as analyze Bank of New York Alpha and Beta and Bank of New York Performance.
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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
-0.11
Market Capitalization
34.6 B
Quarterly Revenue Growth YOY
-0.02
Return On Assets
0.0077
Return On Equity
0.0823
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.

Bank of New York 'What if' Analysis

In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Bank of New York's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Bank of New York.
0.00
07/10/2020
No Change 0.00  0.0 
In 1 year 11 months and 22 days
06/30/2022
0.00
If you would invest  0.00  in Bank of New York on July 10, 2020 and sell it all today you would earn a total of 0.00 from holding Bank Of New or generate 0.0% return on investment in Bank of New York over 720 days. Bank of New York is related to or competes with Allena Pharmaceuticals. The Bank of New York Mellon Corporation provides a range of financial products and services in the United States and int...More

Bank of New York Upside/Downside Indicators

Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Bank of New York's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Bank Of New upside and downside potential and time the market with a certain degree of confidence.

Bank of New York Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Bank of New York's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Bank of New York's standard deviation. In reality, there are many statistical measures that can use Bank of New York historical prices to predict the future Bank of New York's volatility.
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.
Hype
Prediction
LowEstimated ValueHigh
40.4842.3444.20
Details
Intrinsic
Valuation
LowReal ValueHigh
37.7954.5156.37
Details
Naive
Forecast
LowNext ValueHigh
42.7144.5746.43
Details
12 Analysts
Consensus
LowTarget PriceHigh
59.0065.5076.00
Details
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 Backtested Returns

Bank of New York secures Sharpe Ratio (or Efficiency) of -0.13, which signifies that the company had -0.13% of return per unit of risk over the last 3 months. Macroaxis standpoint towards foreseeing the risk of any stock is to look at both systematic and unsystematic factors of the business, including all available market data and technical indicators. Bank Of New exposes twenty-seven different technical indicators, which can help you to evaluate volatility that cannot be diversified away. Please be advised to confirm Bank of New York mean deviation of 1.51, and Risk Adjusted Performance of (0.22) to double-check the risk estimate we provide.
The firm shows a Beta (market volatility) of 1.125, which signifies a somewhat significant risk relative to the market. Let's try to break down what Bank of New York's beta means in this case. Bank of New York returns are very sensitive to returns on the market. As the market goes up or down, Bank of New York is expected to follow. Even though it is essential to pay attention to Bank of New York historical returns, it is always good to be careful when utilizing equity current trending patterns. Our philosophy towards foreseeing any stock's future performance is to check both, its past performance charts as well as the business as a whole, including all available technical indicators. Bank Of New exposes twenty-seven different technical indicators, which can help you to evaluate its performance. Bank of New York has an expected return of -0.24%. Please be advised to confirm Bank of New York downside variance, daily balance of power, and the relationship between the maximum drawdown and skewness to decide if Bank of New York performance from the past will be repeated at some point in the near future.

Auto-correlation

    
  -0.51  

Good reverse predictability

Bank Of New has good reverse predictability. Overlapping area represents the amount of predictability between Bank of New York time series from 10th of July 2020 to 5th of July 2021 and 5th of July 2021 to 30th of June 2022. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Bank of New York price movement. The serial correlation of -0.51 indicates that about 51.0% of current Bank of New York price fluctuation can be explain by its past prices.
Correlation Coefficient-0.51
Spearman Rank Test-0.28
Residual Average0.0
Price Variance32.84

Bank of New York lagged returns against current returns

Autocorrelation, which is Bank of New York stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Bank of New York's stock expected returns. We can calculate the autocorrelation of Bank of New York returns to help us make a trade decision. For example, suppose you find that Bank of New York stock has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the stock movement to match the lagging time series.
 Current and Lagged Values 
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      Timeline 

Bank of New York regressed lagged prices vs. current prices

Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Bank of New York stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Bank of New York stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Bank of New York stock over time.
 Current vs Lagged Prices 
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      Timeline 

Bank of New York Lagged Returns

When evaluating Bank of New York's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Bank of New York stock have on its future price. Bank of New York autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Bank of New York autocorrelation shows the relationship between Bank of New York stock current value and its past values and can show if there is a momentum factor associated with investing in Bank Of New.
 Regressed Prices 
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      Timeline 

Bank of New York Investors Sentiment

The influence of Bank of New York's investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in Bank of New York. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock markets does not have a solid backing from leading economists and market statisticians.

Bank of New York Implied Volatility

    
  32.99  
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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Bank of New York in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Bank of New York's short interest history, or implied volatility extrapolated from Bank of New York options trading.

Current Sentiment - BK

Bank of New York Investor Sentiment

of Macroaxis users are currently bullish on Bank Of New. What is your opinion about investing in Bank Of New? Are you bullish or bearish?
Bullish
Bearish
98% Bullish
2% Bearish

Pair Trading with Bank of New York

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 Correlation

Correlation Analysis For Direct Indexing and Tax-loss Harvesting

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 equities. 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
Continue to Bank of New York Hype Analysis, Bank of New York Correlation, Bank of New York Valuation, Bank of New York Volatility, as well as analyze Bank of New York Alpha and Beta and Bank of New York Performance. 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 Analyst Recommendations module to analyst recommendations and target price estimates broken down by several categories.

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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Bank of New York technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
A focus of Bank of New York technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Bank of New York trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...