Correlation Between Bank of America and Themes Uranium
Can any of the company-specific risk be diversified away by investing in both Bank of America and Themes Uranium 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 Themes Uranium 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 Themes Uranium Nuclear, you can compare the effects of market volatilities on Bank of America and Themes Uranium 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 Themes Uranium. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Themes Uranium.
Diversification Opportunities for Bank of America and Themes Uranium
0.18 | Correlation Coefficient |
Average diversification
The 3 months correlation between Bank and Themes is 0.18. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Themes Uranium Nuclear in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Themes Uranium Nuclear 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 Themes Uranium. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Themes Uranium Nuclear has no effect on the direction of Bank of America i.e., Bank of America and Themes Uranium go up and down completely randomly.
Pair Corralation between Bank of America and Themes Uranium
Considering the 90-day investment horizon Bank of America is expected to generate 4.37 times less return on investment than Themes Uranium. But when comparing it to its historical volatility, Bank of America is 1.67 times less risky than Themes Uranium. It trades about 0.06 of its potential returns per unit of risk. Themes Uranium Nuclear is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 2,754 in Themes Uranium Nuclear on September 3, 2024 and sell it today you would earn a total of 570.00 from holding Themes Uranium Nuclear or generate 20.7% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 9.9% |
Values | Daily Returns |
Bank of America vs. Themes Uranium Nuclear
Performance |
Timeline |
Bank of America |
Themes Uranium Nuclear |
Bank of America and Themes Uranium Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and Themes Uranium
The main advantage of trading using opposite Bank of America and Themes Uranium positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Themes Uranium 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 Themes Uranium will offset losses from the drop in Themes Uranium's 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 |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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