Correlation Between Bank of America and Nasdaq Benchmark

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Can any of the company-specific risk be diversified away by investing in both Bank of America and Nasdaq Benchmark 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 Benchmark 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 Benchmark Energy, you can compare the effects of market volatilities on Bank of America and Nasdaq Benchmark 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 Benchmark. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Nasdaq Benchmark.

Diversification Opportunities for Bank of America and Nasdaq Benchmark

BankNasdaqDiversified AwayBankNasdaqDiversified Away100%
0.6
  Correlation Coefficient

Poor diversification

The 3 months correlation between Bank and Nasdaq is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Nasdaq Benchmark Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nasdaq Benchmark Energy 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 Benchmark. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nasdaq Benchmark Energy has no effect on the direction of Bank of America i.e., Bank of America and Nasdaq Benchmark go up and down completely randomly.
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Pair Corralation between Bank of America and Nasdaq Benchmark

Considering the 90-day investment horizon Bank of America is expected to generate 1.22 times more return on investment than Nasdaq Benchmark. However, Bank of America is 1.22 times more volatile than Nasdaq Benchmark Energy. It trades about 0.05 of its potential returns per unit of risk. Nasdaq Benchmark Energy is currently generating about 0.0 per unit of risk. If you would invest  3,132  in Bank of America on September 20, 2024 and sell it today you would earn a total of  1,250  from holding Bank of America or generate 39.89% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

Bank of America  vs.  Nasdaq Benchmark Energy

 Performance 
JavaScript chart by amCharts 3.21.15OctNovDec 05101520
JavaScript chart by amCharts 3.21.15BAC NQUSB60
       Timeline  

Bank of America and Nasdaq Benchmark Volatility Contrast

   Predicted Return Density   
JavaScript chart by amCharts 3.21.15-4.79-3.59-2.39-1.180.011.32.63.95.2 0.050.100.150.200.25
JavaScript chart by amCharts 3.21.15BAC NQUSB60
       Returns  

Pair Trading with Bank of America and Nasdaq Benchmark

The main advantage of trading using opposite Bank of America and Nasdaq Benchmark positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Nasdaq Benchmark 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 Benchmark will offset losses from the drop in Nasdaq Benchmark's long position.
The idea behind Bank of America and Nasdaq Benchmark Energy 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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.

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