Correlation Between Aluminumof China and Astral Foods
Can any of the company-specific risk be diversified away by investing in both Aluminumof China and Astral Foods 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 Aluminumof China and Astral Foods into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Aluminum of and Astral Foods Limited, you can compare the effects of market volatilities on Aluminumof China and Astral Foods 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 Aluminumof China with a short position of Astral Foods. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aluminumof China and Astral Foods.
Diversification Opportunities for Aluminumof China and Astral Foods
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Aluminumof and Astral is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding Aluminum of and Astral Foods Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Astral Foods Limited and Aluminumof China 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 Aluminum of are associated (or correlated) with Astral Foods. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Astral Foods Limited has no effect on the direction of Aluminumof China i.e., Aluminumof China and Astral Foods go up and down completely randomly.
Pair Corralation between Aluminumof China and Astral Foods
Assuming the 90 days horizon Aluminumof China is expected to generate 7.79 times less return on investment than Astral Foods. But when comparing it to its historical volatility, Aluminum of is 5.99 times less risky than Astral Foods. It trades about 0.09 of its potential returns per unit of risk. Astral Foods Limited is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 399.00 in Astral Foods Limited on December 23, 2024 and sell it today you would earn a total of 371.00 from holding Astral Foods Limited or generate 92.98% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Aluminum of vs. Astral Foods Limited
Performance |
Timeline |
Aluminumof China |
Astral Foods Limited |
Aluminumof China and Astral Foods Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Aluminumof China and Astral Foods
The main advantage of trading using opposite Aluminumof China and Astral Foods positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aluminumof China position performs unexpectedly, Astral Foods 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 Astral Foods will offset losses from the drop in Astral Foods' long position.Aluminumof China vs. Take Two Interactive Software | Aluminumof China vs. Plastic Omnium | Aluminumof China vs. Hyster Yale Materials Handling | Aluminumof China vs. Axway Software SA |
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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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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