Correlation Between Bank of America and NASDAQ Biotechnology

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Can any of the company-specific risk be diversified away by investing in both Bank of America and NASDAQ Biotechnology at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Bank of America and NASDAQ Biotechnology into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank of America and NASDAQ Biotechnology, you can compare the effects of market volatilities on Bank of America and NASDAQ Biotechnology and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Bank of America with a short position of NASDAQ Biotechnology. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and NASDAQ Biotechnology.

Diversification Opportunities for Bank of America and NASDAQ Biotechnology

-0.63
  Correlation Coefficient

Excellent diversification

The 3 months correlation between Bank and NASDAQ is -0.63. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and NASDAQ Biotechnology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NASDAQ Biotechnology and Bank of America is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Bank of America are associated (or correlated) with NASDAQ Biotechnology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NASDAQ Biotechnology has no effect on the direction of Bank of America i.e., Bank of America and NASDAQ Biotechnology go up and down completely randomly.
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Pair Corralation between Bank of America and NASDAQ Biotechnology

Considering the 90-day investment horizon Bank of America is expected to generate 1.41 times more return on investment than NASDAQ Biotechnology. However, Bank of America is 1.41 times more volatile than NASDAQ Biotechnology. It trades about 0.18 of its potential returns per unit of risk. NASDAQ Biotechnology is currently generating about -0.12 per unit of risk. If you would invest  3,888  in Bank of America on September 14, 2024 and sell it today you would earn a total of  720.00  from holding Bank of America or generate 18.52% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

Bank of America  vs.  NASDAQ Biotechnology

 Performance 
       Timeline  

Bank of America and NASDAQ Biotechnology Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Bank of America and NASDAQ Biotechnology

The main advantage of trading using opposite Bank of America and NASDAQ Biotechnology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, NASDAQ Biotechnology 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 NASDAQ Biotechnology will offset losses from the drop in NASDAQ Biotechnology's long position.
The idea behind Bank of America and NASDAQ Biotechnology pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.
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Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.

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