Correlation Between Bank of America and Lotte Fine
Can any of the company-specific risk be diversified away by investing in both Bank of America and Lotte Fine 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 Lotte Fine 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 Lotte Fine Chemical, you can compare the effects of market volatilities on Bank of America and Lotte Fine 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 Lotte Fine. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Lotte Fine.
Diversification Opportunities for Bank of America and Lotte Fine
-0.92 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Bank and Lotte is -0.92. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Lotte Fine Chemical in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lotte Fine Chemical 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 Lotte Fine. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lotte Fine Chemical has no effect on the direction of Bank of America i.e., Bank of America and Lotte Fine go up and down completely randomly.
Pair Corralation between Bank of America and Lotte Fine
Considering the 90-day investment horizon Bank of America is expected to generate 0.75 times more return on investment than Lotte Fine. However, Bank of America is 1.34 times less risky than Lotte Fine. It trades about 0.1 of its potential returns per unit of risk. Lotte Fine Chemical is currently generating about -0.08 per unit of risk. If you would invest 2,824 in Bank of America on September 1, 2024 and sell it today you would earn a total of 1,927 from holding Bank of America or generate 68.24% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Significant |
| Accuracy | 97.31% |
| Values | Daily Returns |
Bank of America vs. Lotte Fine Chemical
Performance |
| Timeline |
| Bank of America |
| Lotte Fine Chemical |
Bank of America and Lotte Fine Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of America and Lotte Fine
The main advantage of trading using opposite Bank of America and Lotte Fine positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Lotte Fine 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 Lotte Fine will offset losses from the drop in Lotte Fine's long position.| Bank of America vs. Citigroup | Bank of America vs. Toronto Dominion Bank | Bank of America vs. Royal Bank of | Bank of America vs. Nu Holdings |
| Lotte Fine vs. LG Chemicals | Lotte Fine vs. POSCO Holdings | Lotte Fine vs. Hanwha Solutions | Lotte Fine vs. Lotte Chemical Corp |
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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