Correlation Between Bank of America and DB Insurance

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

Diversification Opportunities for Bank of America and DB Insurance

-0.04
  Correlation Coefficient

Good diversification

The 3 months correlation between Bank and 005830 is -0.04. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and DB Insurance Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DB Insurance 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 DB Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DB Insurance has no effect on the direction of Bank of America i.e., Bank of America and DB Insurance go up and down completely randomly.

Pair Corralation between Bank of America and DB Insurance

Considering the 90-day investment horizon Bank of America is expected to generate 0.46 times more return on investment than DB Insurance. However, Bank of America is 2.16 times less risky than DB Insurance. It trades about -0.09 of its potential returns per unit of risk. DB Insurance Co is currently generating about -0.1 per unit of risk. If you would invest  4,725  in Bank of America on November 29, 2024 and sell it today you would lose (308.50) from holding Bank of America or give up 6.53% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy96.67%
ValuesDaily Returns

Bank of America  vs.  DB Insurance Co

 Performance 
       Timeline  
Bank of America 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days Bank of America has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest unsteady performance, the Stock's basic indicators remain sound and the latest tumult on Wall Street may also be a sign of longer-term gains for the firm shareholders.
DB Insurance 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days DB Insurance Co has generated negative risk-adjusted returns adding no value to investors with long positions. Despite weak performance in the last few months, the Stock's basic indicators remain somewhat strong which may send shares a bit higher in March 2025. The current disturbance may also be a sign of long term up-swing for the company investors.

Bank of America and DB Insurance Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Bank of America and DB Insurance

The main advantage of trading using opposite Bank of America and DB Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, DB Insurance 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 DB Insurance will offset losses from the drop in DB Insurance's long position.
The idea behind Bank of America and DB Insurance Co 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.

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