Correlation Between Bank of America and Mirae Asset
Can any of the company-specific risk be diversified away by investing in both Bank of America and Mirae Asset 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 Mirae Asset 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 Mirae Asset No2, you can compare the effects of market volatilities on Bank of America and Mirae Asset 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 Mirae Asset. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Mirae Asset.
Diversification Opportunities for Bank of America and Mirae Asset
-0.21 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Bank and Mirae is -0.21. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Mirae Asset No2 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mirae Asset No2 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 Mirae Asset. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mirae Asset No2 has no effect on the direction of Bank of America i.e., Bank of America and Mirae Asset go up and down completely randomly.
Pair Corralation between Bank of America and Mirae Asset
Considering the 90-day investment horizon Bank of America is expected to under-perform the Mirae Asset. But the stock apears to be less risky and, when comparing its historical volatility, Bank of America is 1.27 times less risky than Mirae Asset. The stock trades about -0.02 of its potential returns per unit of risk. The Mirae Asset No2 is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 1,128,009 in Mirae Asset No2 on December 29, 2024 and sell it today you would earn a total of 158,991 from holding Mirae Asset No2 or generate 14.09% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 96.72% |
Values | Daily Returns |
Bank of America vs. Mirae Asset No2
Performance |
Timeline |
Bank of America |
Mirae Asset No2 |
Bank of America and Mirae Asset Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and Mirae Asset
The main advantage of trading using opposite Bank of America and Mirae Asset positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Mirae Asset 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 Mirae Asset will offset losses from the drop in Mirae Asset's long position.Bank of America vs. PJT Partners | Bank of America vs. National Bank Holdings | Bank of America vs. FB Financial Corp | Bank of America vs. Northrim BanCorp |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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