Correlation Between Bank of America and Baron Fintech
Can any of the company-specific risk be diversified away by investing in both Bank of America and Baron Fintech 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 Baron Fintech 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 Baron Fintech, you can compare the effects of market volatilities on Bank of America and Baron Fintech 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 Baron Fintech. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Baron Fintech.
Diversification Opportunities for Bank of America and Baron Fintech
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Bank and Baron is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Baron Fintech in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Baron Fintech 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 Baron Fintech. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Baron Fintech has no effect on the direction of Bank of America i.e., Bank of America and Baron Fintech go up and down completely randomly.
Pair Corralation between Bank of America and Baron Fintech
Considering the 90-day investment horizon Bank of America is expected to generate 1.26 times less return on investment than Baron Fintech. In addition to that, Bank of America is 1.84 times more volatile than Baron Fintech. It trades about 0.11 of its total potential returns per unit of risk. Baron Fintech is currently generating about 0.24 per unit of volatility. If you would invest 1,452 in Baron Fintech on August 29, 2024 and sell it today you would earn a total of 419.00 from holding Baron Fintech or generate 28.86% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Bank of America vs. Baron Fintech
Performance |
| Timeline |
| Bank of America |
| Baron Fintech |
Bank of America and Baron Fintech Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of America and Baron Fintech
The main advantage of trading using opposite Bank of America and Baron Fintech positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Baron Fintech 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 Baron Fintech will offset losses from the drop in Baron Fintech's long position.| Bank of America vs. Nu Holdings | Bank of America vs. HSBC Holdings PLC | Bank of America vs. Bank of Nova |
| Baron Fintech vs. VEEA | Baron Fintech vs. VivoPower International PLC | Baron Fintech vs. WEBTOON Entertainment Common | Baron Fintech vs. Baron Real Estate |
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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