Correlation Between Local Bounti and Wilmar International
Can any of the company-specific risk be diversified away by investing in both Local Bounti and Wilmar International 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 Local Bounti and Wilmar International into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Local Bounti Corp and Wilmar International, you can compare the effects of market volatilities on Local Bounti and Wilmar International 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 Local Bounti with a short position of Wilmar International. Check out your portfolio center. Please also check ongoing floating volatility patterns of Local Bounti and Wilmar International.
Diversification Opportunities for Local Bounti and Wilmar International
0.15 | Correlation Coefficient |
Average diversification
The 3 months correlation between Local and Wilmar is 0.15. Overlapping area represents the amount of risk that can be diversified away by holding Local Bounti Corp and Wilmar International in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wilmar International and Local Bounti 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 Local Bounti Corp are associated (or correlated) with Wilmar International. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wilmar International has no effect on the direction of Local Bounti i.e., Local Bounti and Wilmar International go up and down completely randomly.
Pair Corralation between Local Bounti and Wilmar International
Given the investment horizon of 90 days Local Bounti is expected to generate 4.67 times less return on investment than Wilmar International. In addition to that, Local Bounti is 2.26 times more volatile than Wilmar International. It trades about 0.01 of its total potential returns per unit of risk. Wilmar International is currently generating about 0.11 per unit of volatility. If you would invest 2,284 in Wilmar International on December 28, 2024 and sell it today you would earn a total of 205.00 from holding Wilmar International or generate 8.98% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.36% |
Values | Daily Returns |
Local Bounti Corp vs. Wilmar International
Performance |
Timeline |
Local Bounti Corp |
Wilmar International |
Local Bounti and Wilmar International Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Local Bounti and Wilmar International
The main advantage of trading using opposite Local Bounti and Wilmar International positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Local Bounti position performs unexpectedly, Wilmar International 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 Wilmar International will offset losses from the drop in Wilmar International's long position.Local Bounti vs. Fresh Del Monte | Local Bounti vs. Alico Inc | Local Bounti vs. SW Seed Company | Local Bounti vs. Adecoagro SA |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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