Correlation Between Bank of America and Prime Mining
Can any of the company-specific risk be diversified away by investing in both Bank of America and Prime Mining 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 Prime Mining 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 Prime Mining Corp, you can compare the effects of market volatilities on Bank of America and Prime Mining 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 Prime Mining. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Prime Mining.
Diversification Opportunities for Bank of America and Prime Mining
-0.24 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Bank and Prime is -0.24. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Prime Mining Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Prime Mining Corp 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 Prime Mining. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Prime Mining Corp has no effect on the direction of Bank of America i.e., Bank of America and Prime Mining go up and down completely randomly.
Pair Corralation between Bank of America and Prime Mining
Considering the 90-day investment horizon Bank of America is expected to generate 0.26 times more return on investment than Prime Mining. However, Bank of America is 3.9 times less risky than Prime Mining. It trades about 0.27 of its potential returns per unit of risk. Prime Mining Corp is currently generating about -0.14 per unit of risk. If you would invest 4,262 in Bank of America on August 29, 2024 and sell it today you would earn a total of 523.50 from holding Bank of America or generate 12.28% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 95.65% |
| Values | Daily Returns |
Bank of America vs. Prime Mining Corp
Performance |
| Timeline |
| Bank of America |
| Prime Mining Corp |
Bank of America and Prime Mining Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of America and Prime Mining
The main advantage of trading using opposite Bank of America and Prime Mining positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Prime Mining 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 Prime Mining will offset losses from the drop in Prime Mining's long position.| Bank of America vs. Citigroup | Bank of America vs. Wells Fargo | Bank of America vs. Toronto Dominion Bank | Bank of America vs. JPMorgan Chase Co |
| Prime Mining vs. Kenorland Minerals | Prime Mining vs. Canstar Resources | Prime Mining vs. Euro Manganese | Prime Mining vs. Chalice Mining Limited |
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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