Correlation Between Bank of America and Lanna Resources
Can any of the company-specific risk be diversified away by investing in both Bank of America and Lanna Resources 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 Lanna Resources 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 Lanna Resources Public, you can compare the effects of market volatilities on Bank of America and Lanna Resources 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 Lanna Resources. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Lanna Resources.
Diversification Opportunities for Bank of America and Lanna Resources
-0.79 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Bank and Lanna is -0.79. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Lanna Resources Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lanna Resources Public 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 Lanna Resources. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lanna Resources Public has no effect on the direction of Bank of America i.e., Bank of America and Lanna Resources go up and down completely randomly.
Pair Corralation between Bank of America and Lanna Resources
Considering the 90-day investment horizon Bank of America is expected to generate 0.95 times more return on investment than Lanna Resources. However, Bank of America is 1.06 times less risky than Lanna Resources. It trades about 0.1 of its potential returns per unit of risk. Lanna Resources Public is currently generating about 0.07 per unit of risk. If you would invest 3,946 in Bank of America on September 3, 2024 and sell it today you would earn a total of 805.00 from holding Bank of America or generate 20.4% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 99.2% |
| Values | Daily Returns |
Bank of America vs. Lanna Resources Public
Performance |
| Timeline |
| Bank of America |
| Lanna Resources Public |
Bank of America and Lanna Resources Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of America and Lanna Resources
The main advantage of trading using opposite Bank of America and Lanna Resources positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Lanna Resources 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 Lanna Resources will offset losses from the drop in Lanna Resources' long position.| Bank of America vs. Partner Communications | Bank of America vs. Merck Company | Bank of America vs. Western Midstream Partners | Bank of America vs. Edgewise Therapeutics |
| Lanna Resources vs. PTT Public | Lanna Resources vs. SCB X Public | Lanna Resources vs. The Siam Commercial | Lanna Resources vs. The Siam Cement |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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