Correlation Between Alibaba Group and HEXINDO ADIPERKASA
Can any of the company-specific risk be diversified away by investing in both Alibaba Group and HEXINDO ADIPERKASA 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 Alibaba Group and HEXINDO ADIPERKASA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Alibaba Group Holding and HEXINDO ADIPERKASA, you can compare the effects of market volatilities on Alibaba Group and HEXINDO ADIPERKASA 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 Alibaba Group with a short position of HEXINDO ADIPERKASA. Check out your portfolio center. Please also check ongoing floating volatility patterns of Alibaba Group and HEXINDO ADIPERKASA.
Diversification Opportunities for Alibaba Group and HEXINDO ADIPERKASA
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Alibaba and HEXINDO is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding Alibaba Group Holding and HEXINDO ADIPERKASA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on HEXINDO ADIPERKASA and Alibaba Group 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 Alibaba Group Holding are associated (or correlated) with HEXINDO ADIPERKASA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of HEXINDO ADIPERKASA has no effect on the direction of Alibaba Group i.e., Alibaba Group and HEXINDO ADIPERKASA go up and down completely randomly.
Pair Corralation between Alibaba Group and HEXINDO ADIPERKASA
Given the investment horizon of 90 days Alibaba Group Holding is expected to under-perform the HEXINDO ADIPERKASA. In addition to that, Alibaba Group is 1.97 times more volatile than HEXINDO ADIPERKASA. It trades about -0.01 of its total potential returns per unit of risk. HEXINDO ADIPERKASA is currently generating about 0.01 per unit of volatility. If you would invest 29.00 in HEXINDO ADIPERKASA on October 4, 2024 and sell it today you would earn a total of 0.00 from holding HEXINDO ADIPERKASA or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 99.0% |
Values | Daily Returns |
Alibaba Group Holding vs. HEXINDO ADIPERKASA
Performance |
Timeline |
Alibaba Group Holding |
HEXINDO ADIPERKASA |
Alibaba Group and HEXINDO ADIPERKASA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Alibaba Group and HEXINDO ADIPERKASA
The main advantage of trading using opposite Alibaba Group and HEXINDO ADIPERKASA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alibaba Group position performs unexpectedly, HEXINDO ADIPERKASA 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 HEXINDO ADIPERKASA will offset losses from the drop in HEXINDO ADIPERKASA's long position.Alibaba Group vs. PDD Holdings | Alibaba Group vs. MercadoLibre | Alibaba Group vs. JD Inc Adr | Alibaba Group vs. Sea |
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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