Correlation Between Astral Foods and China Reinsurance
Can any of the company-specific risk be diversified away by investing in both Astral Foods and China Reinsurance 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 Astral Foods and China Reinsurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Astral Foods Limited and China Reinsurance Corp, you can compare the effects of market volatilities on Astral Foods and China Reinsurance 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 Astral Foods with a short position of China Reinsurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Astral Foods and China Reinsurance.
Diversification Opportunities for Astral Foods and China Reinsurance
-0.35 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Astral and China is -0.35. Overlapping area represents the amount of risk that can be diversified away by holding Astral Foods Limited and China Reinsurance Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on China Reinsurance Corp and Astral Foods 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 Astral Foods Limited are associated (or correlated) with China Reinsurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of China Reinsurance Corp has no effect on the direction of Astral Foods i.e., Astral Foods and China Reinsurance go up and down completely randomly.
Pair Corralation between Astral Foods and China Reinsurance
Assuming the 90 days trading horizon Astral Foods Limited is expected to generate 0.63 times more return on investment than China Reinsurance. However, Astral Foods Limited is 1.58 times less risky than China Reinsurance. It trades about -0.19 of its potential returns per unit of risk. China Reinsurance Corp is currently generating about -0.22 per unit of risk. If you would invest 960.00 in Astral Foods Limited on October 9, 2024 and sell it today you would lose (50.00) from holding Astral Foods Limited or give up 5.21% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Astral Foods Limited vs. China Reinsurance Corp
Performance |
Timeline |
Astral Foods Limited |
China Reinsurance Corp |
Astral Foods and China Reinsurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Astral Foods and China Reinsurance
The main advantage of trading using opposite Astral Foods and China Reinsurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Astral Foods position performs unexpectedly, China Reinsurance 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 China Reinsurance will offset losses from the drop in China Reinsurance's long position.Astral Foods vs. Archer Daniels Midland | Astral Foods vs. Tyson Foods | Astral Foods vs. Superior Plus Corp | Astral Foods vs. NMI Holdings |
China Reinsurance vs. APPLIED MATERIALS | China Reinsurance vs. Sumitomo Rubber Industries | China Reinsurance vs. Heidelberg Materials AG | China Reinsurance vs. Siamgas And Petrochemicals |
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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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