Correlation Between Lifecore Biomedical and Sangui Biotech
Can any of the company-specific risk be diversified away by investing in both Lifecore Biomedical and Sangui Biotech 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 Lifecore Biomedical and Sangui Biotech into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lifecore Biomedical and Sangui Biotech International, you can compare the effects of market volatilities on Lifecore Biomedical and Sangui Biotech 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 Lifecore Biomedical with a short position of Sangui Biotech. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lifecore Biomedical and Sangui Biotech.
Diversification Opportunities for Lifecore Biomedical and Sangui Biotech
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Lifecore and Sangui is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Lifecore Biomedical and Sangui Biotech International in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sangui Biotech Inter and Lifecore Biomedical 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 Lifecore Biomedical are associated (or correlated) with Sangui Biotech. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sangui Biotech Inter has no effect on the direction of Lifecore Biomedical i.e., Lifecore Biomedical and Sangui Biotech go up and down completely randomly.
Pair Corralation between Lifecore Biomedical and Sangui Biotech
Given the investment horizon of 90 days Lifecore Biomedical is expected to generate 0.38 times more return on investment than Sangui Biotech. However, Lifecore Biomedical is 2.6 times less risky than Sangui Biotech. It trades about -0.01 of its potential returns per unit of risk. Sangui Biotech International is currently generating about -0.13 per unit of risk. If you would invest 724.00 in Lifecore Biomedical on December 20, 2024 and sell it today you would lose (59.00) from holding Lifecore Biomedical or give up 8.15% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 93.65% |
Values | Daily Returns |
Lifecore Biomedical vs. Sangui Biotech International
Performance |
Timeline |
Lifecore Biomedical |
Sangui Biotech Inter |
Lifecore Biomedical and Sangui Biotech Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lifecore Biomedical and Sangui Biotech
The main advantage of trading using opposite Lifecore Biomedical and Sangui Biotech positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lifecore Biomedical position performs unexpectedly, Sangui Biotech 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 Sangui Biotech will offset losses from the drop in Sangui Biotech's long position.Lifecore Biomedical vs. Shuttle Pharmaceuticals | Lifecore Biomedical vs. Tilray Inc | Lifecore Biomedical vs. Kamada | Lifecore Biomedical vs. Cumberland Pharmaceuticals |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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