Bank of New York Mellon (Germany) Statistic Functions Beta
| BN9 Stock | EUR 76.86 0.75 0.97% |
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The function did not generate any output. Please change time horizon or modify your input parameters. The output start index for this execution was one with a total number of output elements of sixty. The Beta measures systematic risk based on how returns on Bank of New York Mellon correlated with the market. If Beta is less than 0 Bank of New York Mellon generally moves in the opposite direction as compared to the market. If Bank of New York Mellon Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Bank of New York Mellon is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Bank of New York Mellon is generally in the same direction as the market. If Beta > 1 Bank of New York Mellon moves generally in the same direction as, but more than the movement of the benchmark.
Bank of New York Mellon Technical Analysis Modules
Most technical analysis of Bank of New York Mellon 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.| Cycle Indicators | ||
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About Bank of New York Mellon 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 The Bank of. We use our internally-developed statistical techniques to arrive at the intrinsic value of The Bank of 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 Mellon's daily price indicators and compare them against related drivers, such as statistic functions 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 Mellon's intrinsic value. In addition to deriving basic predictive indicators for Bank of New York Mellon, we also check how macroeconomic factors affect Bank of New York Mellon price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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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.