Correlation Between Li Kang and Sunmax Biotechnology
Can any of the company-specific risk be diversified away by investing in both Li Kang and Sunmax Biotechnology 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 Li Kang and Sunmax Biotechnology into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Li Kang Biomedical and Sunmax Biotechnology Co, you can compare the effects of market volatilities on Li Kang and Sunmax Biotechnology 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 Li Kang with a short position of Sunmax Biotechnology. Check out your portfolio center. Please also check ongoing floating volatility patterns of Li Kang and Sunmax Biotechnology.
Diversification Opportunities for Li Kang and Sunmax Biotechnology
-0.53 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between 6242 and Sunmax is -0.53. Overlapping area represents the amount of risk that can be diversified away by holding Li Kang Biomedical and Sunmax Biotechnology Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sunmax Biotechnology and Li Kang 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 Li Kang Biomedical are associated (or correlated) with Sunmax Biotechnology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sunmax Biotechnology has no effect on the direction of Li Kang i.e., Li Kang and Sunmax Biotechnology go up and down completely randomly.
Pair Corralation between Li Kang and Sunmax Biotechnology
Assuming the 90 days trading horizon Li Kang Biomedical is expected to under-perform the Sunmax Biotechnology. But the stock apears to be less risky and, when comparing its historical volatility, Li Kang Biomedical is 1.57 times less risky than Sunmax Biotechnology. The stock trades about -0.01 of its potential returns per unit of risk. The Sunmax Biotechnology Co is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 12,353 in Sunmax Biotechnology Co on October 5, 2024 and sell it today you would earn a total of 15,597 from holding Sunmax Biotechnology Co or generate 126.26% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Li Kang Biomedical vs. Sunmax Biotechnology Co
Performance |
Timeline |
Li Kang Biomedical |
Sunmax Biotechnology |
Li Kang and Sunmax Biotechnology Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Li Kang and Sunmax Biotechnology
The main advantage of trading using opposite Li Kang and Sunmax Biotechnology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Li Kang position performs unexpectedly, Sunmax Biotechnology 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 Sunmax Biotechnology will offset losses from the drop in Sunmax Biotechnology's long position.Li Kang vs. Standard Foods Corp | Li Kang vs. TTET Union Corp | Li Kang vs. Uni President Enterprises Corp | Li Kang vs. Charoen Pokphand Enterprise |
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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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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