Bank of America Correlations

BAC Stock  USD 45.13  0.36  0.80%   
The current 90-days correlation between Bank of America and Royal Bank of is 0.34 (i.e., Weak diversification). The correlation of Bank of America 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 correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.

Bank of America Correlation With Market

Poor diversification

The correlation between Bank of America and DJI is 0.72 (i.e., Poor diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and DJI in the same portfolio, assuming nothing else is changed.
  
Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Bank of America. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in nation.
For information on how to trade Bank Stock refer to our How to Trade Bank Stock guide.

Moving together with Bank Stock

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  0.68NTB Bank of NTPairCorr
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  0.67HSBC HSBC Holdings PLCPairCorr
  0.65BAC-PB Bank of AmericaPairCorr
  0.65BAC-PE Bank of AmericaPairCorr
  0.68BAC-PK Bank of AmericaPairCorr
  0.77MUFG Mitsubishi UFJ Financial Earnings Call This WeekPairCorr

Moving against Bank Stock

  0.5ING ING Group NVPairCorr
  0.48TD Toronto Dominion Bank Sell-off TrendPairCorr

Related Correlations Analysis

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Risk-Adjusted Indicators

There is a big difference between Bank Stock performing well and Bank of America Company doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze Bank of America's multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.