Correlation Between Wilmar International and Local Bounti
Can any of the company-specific risk be diversified away by investing in both Wilmar International and Local Bounti 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 Wilmar International and Local Bounti into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Wilmar International and Local Bounti Corp, you can compare the effects of market volatilities on Wilmar International and Local Bounti 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 Wilmar International with a short position of Local Bounti. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wilmar International and Local Bounti.
Diversification Opportunities for Wilmar International and Local Bounti
0.15 | Correlation Coefficient |
Average diversification
The 3 months correlation between Wilmar and Local is 0.15. Overlapping area represents the amount of risk that can be diversified away by holding Wilmar International and Local Bounti Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Local Bounti Corp and Wilmar International 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 Wilmar International are associated (or correlated) with Local Bounti. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Local Bounti Corp has no effect on the direction of Wilmar International i.e., Wilmar International and Local Bounti go up and down completely randomly.
Pair Corralation between Wilmar International and Local Bounti
Assuming the 90 days horizon Wilmar International is expected to generate 0.44 times more return on investment than Local Bounti. However, Wilmar International is 2.26 times less risky than Local Bounti. It trades about 0.11 of its potential returns per unit of risk. Local Bounti Corp is currently generating about 0.01 per unit of risk. 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 |
Wilmar International vs. Local Bounti Corp
Performance |
Timeline |
Wilmar International |
Local Bounti Corp |
Wilmar International and Local Bounti Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Wilmar International and Local Bounti
The main advantage of trading using opposite Wilmar International and Local Bounti positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wilmar International position performs unexpectedly, Local Bounti 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 Local Bounti will offset losses from the drop in Local Bounti's long position.Wilmar International vs. Wilmar International Limited | Wilmar International vs. Wesfarmers Ltd ADR | Wilmar International vs. United Overseas Bank | Wilmar International vs. Kerry Group PLC |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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