Correlation Between Huaizhong Health and Intl Star
Can any of the company-specific risk be diversified away by investing in both Huaizhong Health and Intl Star 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 Huaizhong Health and Intl Star into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Huaizhong Health Group and Intl Star, you can compare the effects of market volatilities on Huaizhong Health and Intl Star 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 Huaizhong Health with a short position of Intl Star. Check out your portfolio center. Please also check ongoing floating volatility patterns of Huaizhong Health and Intl Star.
Diversification Opportunities for Huaizhong Health and Intl Star
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Huaizhong and Intl is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Huaizhong Health Group and Intl Star in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Intl Star and Huaizhong Health 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 Huaizhong Health Group are associated (or correlated) with Intl Star. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Intl Star has no effect on the direction of Huaizhong Health i.e., Huaizhong Health and Intl Star go up and down completely randomly.
Pair Corralation between Huaizhong Health and Intl Star
Given the investment horizon of 90 days Huaizhong Health Group is expected to under-perform the Intl Star. But the pink sheet apears to be less risky and, when comparing its historical volatility, Huaizhong Health Group is 3.0 times less risky than Intl Star. The pink sheet trades about -0.03 of its potential returns per unit of risk. The Intl Star is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 0.10 in Intl Star on October 23, 2024 and sell it today you would lose (0.01) from holding Intl Star or give up 10.0% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Huaizhong Health Group vs. Intl Star
Performance |
Timeline |
Huaizhong Health |
Intl Star |
Huaizhong Health and Intl Star Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Huaizhong Health and Intl Star
The main advantage of trading using opposite Huaizhong Health and Intl Star positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Huaizhong Health position performs unexpectedly, Intl Star 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 Intl Star will offset losses from the drop in Intl Star's long position.Huaizhong Health vs. Abcellera Biologics | Huaizhong Health vs. Genfit | Huaizhong Health vs. Adtalem Global Education | Huaizhong Health vs. BioNTech SE |
Intl Star vs. TransAKT | Intl Star vs. China Health Management | Intl Star vs. Huaizhong Health Group | Intl Star vs. Trimax Corp |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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