Correlation Between Dadi Early and Chung Hwa
Can any of the company-specific risk be diversified away by investing in both Dadi Early and Chung Hwa 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 Dadi Early and Chung Hwa into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dadi Early Childhood Education and Chung Hwa Food, you can compare the effects of market volatilities on Dadi Early and Chung Hwa 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 Dadi Early with a short position of Chung Hwa. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dadi Early and Chung Hwa.
Diversification Opportunities for Dadi Early and Chung Hwa
0.49 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Dadi and Chung is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding Dadi Early Childhood Education and Chung Hwa Food in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chung Hwa Food and Dadi Early 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 Dadi Early Childhood Education are associated (or correlated) with Chung Hwa. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chung Hwa Food has no effect on the direction of Dadi Early i.e., Dadi Early and Chung Hwa go up and down completely randomly.
Pair Corralation between Dadi Early and Chung Hwa
Assuming the 90 days trading horizon Dadi Early Childhood Education is expected to generate 7.97 times more return on investment than Chung Hwa. However, Dadi Early is 7.97 times more volatile than Chung Hwa Food. It trades about 0.16 of its potential returns per unit of risk. Chung Hwa Food is currently generating about -0.33 per unit of risk. If you would invest 2,585 in Dadi Early Childhood Education on November 3, 2024 and sell it today you would earn a total of 170.00 from holding Dadi Early Childhood Education or generate 6.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Dadi Early Childhood Education vs. Chung Hwa Food
Performance |
Timeline |
Dadi Early Childhood |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Chung Hwa Food |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Dadi Early and Chung Hwa Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dadi Early and Chung Hwa
The main advantage of trading using opposite Dadi Early and Chung Hwa positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dadi Early position performs unexpectedly, Chung Hwa 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 Chung Hwa will offset losses from the drop in Chung Hwa's long position.The idea behind Dadi Early Childhood Education and Chung Hwa Food pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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