Bank of New York Mellon (Germany) Probability of Future Stock Price Finishing Over 59.62

BN9 Stock  EUR 78.05  0.28  0.36%   
Bank of New York Mellon's future price is the expected price of Bank of New York Mellon instrument. It is based on its current growth rate as well as the projected cash flow expected by the investors. This tool provides a mechanism to make assumptions about the upside potential and downside risk of The Bank of performance during a given time horizon utilizing its historical volatility. Check out Bank of New York Mellon Backtesting, Bank of New York Mellon Valuation, Bank of New York Mellon Correlation, Bank of New York Mellon Hype Analysis, Bank of New York Mellon Volatility, Bank of New York Mellon History as well as Bank of New York Mellon Performance.
  
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Bank of New York Mellon Target Price Odds to finish over 59.62

The tendency of Bank Stock price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
Current PriceHorizonTarget PriceOdds to stay above € 59.62  in 90 days
 78.05 90 days 59.62 
more than 94.0
Based on a normal probability distribution, the odds of Bank of New York Mellon to stay above € 59.62  in 90 days from now is more than 94.0 (This The Bank of probability density function shows the probability of Bank Stock to fall within a particular range of prices over 90 days) . Probability of Bank of New York Mellon price to stay between € 59.62  and its current price of €78.05 at the end of the 90-day period is about 90.62 .
Assuming the 90 days horizon Bank of New York Mellon has a beta of 0.5 suggesting as returns on the market go up, Bank of New York Mellon average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding The Bank of will be expected to be much smaller as well. Additionally The Bank of has an alpha of 0.333, implying that it can generate a 0.33 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta).
   Bank of New York Mellon Price Density   
       Price  

Predictive Modules for Bank of New York Mellon

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 Mellon. 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.
Hype
Prediction
LowEstimatedHigh
76.6978.0579.41
Details
Intrinsic
Valuation
LowRealHigh
70.2586.7488.10
Details
Naive
Forecast
LowNextHigh
78.5879.9481.29
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
72.5376.0879.64
Details

Bank of New York Mellon Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Bank of New York Mellon is not an exception. The market had few large corrections towards the Bank of New York Mellon's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold The Bank of, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Bank of New York Mellon within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
0.33
β
Beta against Dow Jones0.50
σ
Overall volatility
5.43
Ir
Information ratio 0.20

Bank of New York Mellon Alerts and Suggestions

In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Bank of New York Mellon for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Bank of New York Mellon can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
Over 86.0% of the company shares are held by institutions such as insurance companies

Bank of New York Mellon Price Density Drivers

Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of Bank Stock often depends not only on the future outlook of the current and potential Bank of New York Mellon'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 Mellon's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding808.4 M

Bank of New York Mellon Technical Analysis

Bank of New York Mellon's future price can be derived by breaking down and analyzing its technical indicators over time. Bank Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of The Bank of. In general, you should focus on analyzing Bank Stock price patterns and their correlations with different microeconomic environments and drivers.

Bank of New York Mellon Predictive Forecast Models

Bank of New York Mellon's time-series forecasting models is one of many Bank of New York Mellon's stock analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary Bank of New York Mellon's historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the stock market movement and maximize returns from investment trading.

Things to note about Bank of New York Mellon

Checking the ongoing alerts about Bank of New York Mellon for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Bank of New York Mellon help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Over 86.0% of the company shares are held by institutions such as insurance companies

Other Information on Investing in Bank Stock

Bank of New York Mellon financial ratios help investors to determine whether Bank Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Bank with respect to the benefits of owning Bank of New York Mellon security.