Bank Of New Stock Market Value

BK Stock  USD 57.62  0.69  1.21%   
Bank of New York's market value is the price at which a share of Bank of New York trades on a public exchange. It measures the collective expectations of Bank Of New investors about its performance. Bank of New York is selling for 57.62 as of the 29th of March 2024. This is a 1.21% increase since the beginning of the trading day. The stock's last reported lowest price was 57.05.
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. Check out Bank of New York Correlation, Bank of New York Volatility and Bank of New York Alpha and Beta module to complement your research on Bank of New York.
Symbol

Bank of New York Price To Book Ratio

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 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
(0.68)
Dividend Share
1.58
Earnings Share
3.87
Revenue Per Share
22.17
Quarterly Revenue Growth
0.084
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.

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
04/09/2022
No Change 0.00  0.0 
In 1 year 11 months and 21 days
03/29/2024
0.00
If you would invest  0.00  in Bank of New York on April 9, 2022 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 Diamond Hill, AllianceBernstein, Associated Capital, Brookfield Corp, Blackstone, Carlyle, and P10. 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, anticipate that 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.
Hype
Prediction
LowEstimatedHigh
56.6457.6258.60
Details
Intrinsic
Valuation
LowRealHigh
51.8668.5769.55
Details
Naive
Forecast
LowNextHigh
56.7657.7558.73
Details
18 Analysts
Consensus
LowTargetHigh
47.5952.3058.05
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 toward taking a position in Bank of New York.

Bank of New York Backtested Returns

We consider Bank of New York very steady. Bank of New York secures Sharpe Ratio (or Efficiency) of 0.18, which signifies that the company had a 0.18% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Bank Of New, which you can use to evaluate the volatility of the firm. Please confirm Bank of New York's Mean Deviation of 0.6529, risk adjusted performance of 0.1127, and Downside Deviation of 0.9998 to double-check if the risk estimate we provide is consistent with the expected return of 0.17%. Bank of New York has a performance score of 13 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.85, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Bank of New York's returns are expected to increase less than the market. However, during the bear market, the loss of holding Bank of New York is expected to be smaller as well. Bank of New York right now shows a risk of 0.99%. Please 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 will be following its price patterns.

Auto-correlation

    
  0.77  

Good predictability

Bank Of New has good predictability. Overlapping area represents the amount of predictability between Bank of New York time series from 9th of April 2022 to 4th of April 2023 and 4th of April 2023 to 29th of March 2024. 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 0.77 indicates that around 77.0% of current Bank of New York price fluctuation can be explain by its past prices.
Correlation Coefficient0.77
Spearman Rank Test0.44
Residual Average0.0
Price Variance30.37

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 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 price movement to match the lagging time series.
   Current and Lagged Values   
       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   
       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   
       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. 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 market does not have solid backing from leading economists and market statisticians.
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.
Bank of New York's market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for Bank of New York's and other traded tickers. The bigger the bubble, the more accurate is the estimated score. Higher bars for a given day show more participation in the average Bank of New York's news discussions. The higher the estimated score, the more favorable is the investor's outlook on Bank of New York.

Bank of New York Implied Volatility

    
  24.66  
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.

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.

Moving together with Bank Stock

  0.83V Visa Class A Fiscal Quarter End 31st of March 2024 PairCorr
  0.7IX Orix Corp Ads Financial Report 8th of May 2024 PairCorr

Moving against Bank Stock

  0.58PX P10 Inc Financial Report 20th of May 2024 PairCorr
  0.54MFIN Medallion Financial Corp Financial Report 6th of May 2024 PairCorr
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
When determining whether Bank of New York is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Bank Stock is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Bank Of New Stock. Highlighted below are key reports to facilitate an investment decision about Bank Of New Stock:
Check out Bank of New York Correlation, Bank of New York Volatility and Bank of New York Alpha and Beta module to complement your research on Bank of New York.
You can also try the Portfolio Anywhere module to track or share privately all of your investments from the convenience of any device.

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When running Bank of New York's 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 the 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...