Correlation Between Bank of America and Ten Ren
Can any of the company-specific risk be diversified away by investing in both Bank of America and Ten Ren 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 Ten Ren 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 Ten Ren Tea, you can compare the effects of market volatilities on Bank of America and Ten Ren 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 Ten Ren. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Ten Ren.
Diversification Opportunities for Bank of America and Ten Ren
-0.6 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Bank and Ten is -0.6. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Ten Ren Tea in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ten Ren Tea 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 Ten Ren. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ten Ren Tea has no effect on the direction of Bank of America i.e., Bank of America and Ten Ren go up and down completely randomly.
Pair Corralation between Bank of America and Ten Ren
Considering the 90-day investment horizon Bank of America is expected to generate 3.94 times more return on investment than Ten Ren. However, Bank of America is 3.94 times more volatile than Ten Ren Tea. It trades about 0.32 of its potential returns per unit of risk. Ten Ren Tea is currently generating about -0.33 per unit of risk. If you would invest 4,176 in Bank of America on September 2, 2024 and sell it today you would earn a total of 575.00 from holding Bank of America or generate 13.77% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 95.45% |
| Values | Daily Returns |
Bank of America vs. Ten Ren Tea
Performance |
| Timeline |
| Bank of America |
| Ten Ren Tea |
Bank of America and Ten Ren Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of America and Ten Ren
The main advantage of trading using opposite Bank of America and Ten Ren positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Ten Ren 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 Ten Ren will offset losses from the drop in Ten Ren'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 |
| Ten Ren vs. Standard Foods Corp | Ten Ren vs. TTET Union Corp | Ten Ren vs. Great Wall Enterprise | Ten Ren vs. Lian Hwa Foods |
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 Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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