Correlation Between CAL MAINE and Datang International
Can any of the company-specific risk be diversified away by investing in both CAL MAINE and Datang International 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 CAL MAINE and Datang International into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CAL MAINE FOODS and Datang International Power, you can compare the effects of market volatilities on CAL MAINE and Datang International 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 CAL MAINE with a short position of Datang International. Check out your portfolio center. Please also check ongoing floating volatility patterns of CAL MAINE and Datang International.
Diversification Opportunities for CAL MAINE and Datang International
0.56 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between CAL and Datang is 0.56. Overlapping area represents the amount of risk that can be diversified away by holding CAL MAINE FOODS and Datang International Power in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Datang International and CAL MAINE 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 CAL MAINE FOODS are associated (or correlated) with Datang International. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Datang International has no effect on the direction of CAL MAINE i.e., CAL MAINE and Datang International go up and down completely randomly.
Pair Corralation between CAL MAINE and Datang International
Assuming the 90 days trading horizon CAL MAINE is expected to generate 1.18 times less return on investment than Datang International. But when comparing it to its historical volatility, CAL MAINE FOODS is 1.91 times less risky than Datang International. It trades about 0.18 of its potential returns per unit of risk. Datang International Power is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 17.00 in Datang International Power on April 22, 2025 and sell it today you would earn a total of 4.00 from holding Datang International Power or generate 23.53% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
CAL MAINE FOODS vs. Datang International Power
Performance |
Timeline |
CAL MAINE FOODS |
Datang International |
CAL MAINE and Datang International Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CAL MAINE and Datang International
The main advantage of trading using opposite CAL MAINE and Datang International positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CAL MAINE position performs unexpectedly, Datang International 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 Datang International will offset losses from the drop in Datang International's long position.CAL MAINE vs. ECHO INVESTMENT ZY | CAL MAINE vs. United Rentals | CAL MAINE vs. FIRST SHIP LEASE | CAL MAINE vs. Guangdong Investment Limited |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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