Bank Of America Preferred Stock Statistic Functions Beta
BAC-PQ Preferred Stock | USD 18.76 0.17 0.91% |
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The output start index for this execution was fourteen with a total number of output elements of fourty-seven. The Beta measures systematic risk based on how returns on Bank of America correlated with the market. If Beta is less than 0 Bank of America generally moves in the opposite direction as compared to the market. If Bank of America 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 America is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Bank of America is generally in the same direction as the market. If Beta > 1 Bank of America moves generally in the same direction as, but more than the movement of the benchmark.
Bank of America Technical Analysis Modules
Most technical analysis of Bank of America 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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Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
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Volume Indicators |
About Bank of America 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 America. We use our internally-developed statistical techniques to arrive at the intrinsic value of Bank of America based on widely used predictive technical indicators. In general, we focus on analyzing Bank Preferred Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Bank of America'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 America's intrinsic value. In addition to deriving basic predictive indicators for Bank of America, we also check how macroeconomic factors affect Bank of America price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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Additional Tools for Bank Preferred Stock Analysis
When running Bank of America's price analysis, check to measure Bank of America'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 America is operating at the current time. Most of Bank of America's value examination focuses on studying past and present price action to predict the probability of Bank of America'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 America's price. Additionally, you may evaluate how the addition of Bank of America to your portfolios can decrease your overall portfolio volatility.