Correlation Between Bank of America and Kosdaq Composite
Can any of the company-specific risk be diversified away by investing in both Bank of America and Kosdaq Composite 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 Kosdaq Composite 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 Kosdaq Composite Index, you can compare the effects of market volatilities on Bank of America and Kosdaq Composite 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 Kosdaq Composite. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Kosdaq Composite.
Diversification Opportunities for Bank of America and Kosdaq Composite
-0.68 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Bank and Kosdaq is -0.68. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Kosdaq Composite Index in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kosdaq Composite Index 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 Kosdaq Composite. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kosdaq Composite Index has no effect on the direction of Bank of America i.e., Bank of America and Kosdaq Composite go up and down completely randomly.
Pair Corralation between Bank of America and Kosdaq Composite
Considering the 90-day investment horizon Bank of America is expected to generate 0.96 times more return on investment than Kosdaq Composite. However, Bank of America is 1.05 times less risky than Kosdaq Composite. It trades about 0.12 of its potential returns per unit of risk. Kosdaq Composite Index is currently generating about -0.07 per unit of risk. If you would invest 3,409 in Bank of America on August 27, 2024 and sell it today you would earn a total of 1,291 from holding Bank of America or generate 37.87% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 95.74% |
| Values | Daily Returns |
Bank of America vs. Kosdaq Composite Index
Performance |
| Timeline |
Bank of America and Kosdaq Composite Volatility Contrast
Predicted Return Density |
| Returns |
Bank of America
Pair trading matchups for Bank of America
Kosdaq Composite Index
Pair trading matchups for Kosdaq Composite
Pair Trading with Bank of America and Kosdaq Composite
The main advantage of trading using opposite Bank of America and Kosdaq Composite positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Kosdaq Composite 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 Kosdaq Composite will offset losses from the drop in Kosdaq Composite's long position.| Bank of America vs. Toronto Dominion Bank | Bank of America vs. Nu Holdings | Bank of America vs. HSBC Holdings PLC | Bank of America vs. Bank of Montreal |
| Kosdaq Composite vs. Haesung Industrial Co | Kosdaq Composite vs. Haitai Confectionery Foods | Kosdaq Composite vs. MetaLabs Co | Kosdaq Composite vs. Jeju Semiconductor Corp |
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 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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