Correlation Between Bank of America and L Catterton
Can any of the company-specific risk be diversified away by investing in both Bank of America and L Catterton 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 L Catterton 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 L Catterton Asia, you can compare the effects of market volatilities on Bank of America and L Catterton 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 L Catterton. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and L Catterton.
Diversification Opportunities for Bank of America and L Catterton
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Bank and LCAA is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and L Catterton Asia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on L Catterton Asia 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 L Catterton. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of L Catterton Asia has no effect on the direction of Bank of America i.e., Bank of America and L Catterton go up and down completely randomly.
Pair Corralation between Bank of America and L Catterton
Considering the 90-day investment horizon Bank of America is expected to generate 16.68 times more return on investment than L Catterton. However, Bank of America is 16.68 times more volatile than L Catterton Asia. It trades about 0.1 of its potential returns per unit of risk. L Catterton Asia is currently generating about 0.37 per unit of risk. If you would invest 2,820 in Bank of America on August 31, 2024 and sell it today you would earn a total of 1,931 from holding Bank of America or generate 68.48% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 8.56% |
Values | Daily Returns |
Bank of America vs. L Catterton Asia
Performance |
Timeline |
Bank of America |
L Catterton Asia |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Bank of America and L Catterton Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and L Catterton
The main advantage of trading using opposite Bank of America and L Catterton positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, L Catterton 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 L Catterton will offset losses from the drop in L Catterton's long position.Bank of America vs. RLJ Lodging Trust | Bank of America vs. Aquagold International | Bank of America vs. Stepstone Group | Bank of America vs. Morningstar Unconstrained Allocation |
Check out your portfolio center.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 Sync Your Broker module to sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors..
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