Correlation Between Bank of America and Tiaa-cref Lifestyle
Can any of the company-specific risk be diversified away by investing in both Bank of America and Tiaa-cref Lifestyle 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 Tiaa-cref Lifestyle 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 Tiaa Cref Lifestyle Growth, you can compare the effects of market volatilities on Bank of America and Tiaa-cref Lifestyle 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 Tiaa-cref Lifestyle. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Tiaa-cref Lifestyle.
Diversification Opportunities for Bank of America and Tiaa-cref Lifestyle
0.54 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Bank and Tiaa-cref is 0.54. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Tiaa Cref Lifestyle Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tiaa Cref Lifestyle 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 Tiaa-cref Lifestyle. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tiaa Cref Lifestyle has no effect on the direction of Bank of America i.e., Bank of America and Tiaa-cref Lifestyle go up and down completely randomly.
Pair Corralation between Bank of America and Tiaa-cref Lifestyle
Considering the 90-day investment horizon Bank of America is expected to generate 2.28 times more return on investment than Tiaa-cref Lifestyle. However, Bank of America is 2.28 times more volatile than Tiaa Cref Lifestyle Growth. It trades about 0.06 of its potential returns per unit of risk. Tiaa Cref Lifestyle Growth is currently generating about 0.09 per unit of risk. If you would invest 3,113 in Bank of America on September 2, 2024 and sell it today you would earn a total of 1,638 from holding Bank of America or generate 52.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Bank of America vs. Tiaa Cref Lifestyle Growth
Performance |
Timeline |
Bank of America |
Tiaa Cref Lifestyle |
Bank of America and Tiaa-cref Lifestyle Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and Tiaa-cref Lifestyle
The main advantage of trading using opposite Bank of America and Tiaa-cref Lifestyle positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Tiaa-cref Lifestyle 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 Tiaa-cref Lifestyle will offset losses from the drop in Tiaa-cref Lifestyle's long position.Bank of America vs. Citigroup | Bank of America vs. Nu Holdings | Bank of America vs. HSBC Holdings PLC | Bank of America vs. Bank of Montreal |
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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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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