Correlation Between Energenesis Biomedical and Li Kang
Can any of the company-specific risk be diversified away by investing in both Energenesis Biomedical and Li Kang 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 Energenesis Biomedical and Li Kang into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Energenesis Biomedical Co and Li Kang Biomedical, you can compare the effects of market volatilities on Energenesis Biomedical and Li Kang 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 Energenesis Biomedical with a short position of Li Kang. Check out your portfolio center. Please also check ongoing floating volatility patterns of Energenesis Biomedical and Li Kang.
Diversification Opportunities for Energenesis Biomedical and Li Kang
0.32 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Energenesis and 6242 is 0.32. Overlapping area represents the amount of risk that can be diversified away by holding Energenesis Biomedical Co and Li Kang Biomedical in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Li Kang Biomedical and Energenesis 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 Energenesis Biomedical Co are associated (or correlated) with Li Kang. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Li Kang Biomedical has no effect on the direction of Energenesis Biomedical i.e., Energenesis Biomedical and Li Kang go up and down completely randomly.
Pair Corralation between Energenesis Biomedical and Li Kang
Assuming the 90 days trading horizon Energenesis Biomedical Co is expected to under-perform the Li Kang. In addition to that, Energenesis Biomedical is 2.01 times more volatile than Li Kang Biomedical. It trades about -0.31 of its total potential returns per unit of risk. Li Kang Biomedical is currently generating about -0.06 per unit of volatility. If you would invest 4,300 in Li Kang Biomedical on October 5, 2024 and sell it today you would lose (65.00) from holding Li Kang Biomedical or give up 1.51% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Energenesis Biomedical Co vs. Li Kang Biomedical
Performance |
Timeline |
Energenesis Biomedical |
Li Kang Biomedical |
Energenesis Biomedical and Li Kang Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Energenesis Biomedical and Li Kang
The main advantage of trading using opposite Energenesis Biomedical and Li Kang positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Energenesis Biomedical position performs unexpectedly, Li Kang 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 Li Kang will offset losses from the drop in Li Kang's long position.Energenesis Biomedical vs. Taiwan Semiconductor Manufacturing | Energenesis Biomedical vs. Hon Hai Precision | Energenesis Biomedical vs. MediaTek | Energenesis Biomedical vs. Chunghwa Telecom Co |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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