Correlation Between Chung Hung and Evergreen Steel
Can any of the company-specific risk be diversified away by investing in both Chung Hung and Evergreen Steel 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 Chung Hung and Evergreen Steel into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Chung Hung Steel and Evergreen Steel Corp, you can compare the effects of market volatilities on Chung Hung and Evergreen Steel 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 Chung Hung with a short position of Evergreen Steel. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chung Hung and Evergreen Steel.
Diversification Opportunities for Chung Hung and Evergreen Steel
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Chung and Evergreen is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Chung Hung Steel and Evergreen Steel Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Evergreen Steel Corp and Chung Hung 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 Chung Hung Steel are associated (or correlated) with Evergreen Steel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Evergreen Steel Corp has no effect on the direction of Chung Hung i.e., Chung Hung and Evergreen Steel go up and down completely randomly.
Pair Corralation between Chung Hung and Evergreen Steel
Assuming the 90 days trading horizon Chung Hung Steel is expected to under-perform the Evergreen Steel. In addition to that, Chung Hung is 1.12 times more volatile than Evergreen Steel Corp. It trades about -0.22 of its total potential returns per unit of risk. Evergreen Steel Corp is currently generating about 0.06 per unit of volatility. If you would invest 10,550 in Evergreen Steel Corp on September 19, 2024 and sell it today you would earn a total of 400.00 from holding Evergreen Steel Corp or generate 3.79% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Chung Hung Steel vs. Evergreen Steel Corp
Performance |
Timeline |
Chung Hung Steel |
Evergreen Steel Corp |
Chung Hung and Evergreen Steel Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Chung Hung and Evergreen Steel
The main advantage of trading using opposite Chung Hung and Evergreen Steel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chung Hung position performs unexpectedly, Evergreen Steel 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 Evergreen Steel will offset losses from the drop in Evergreen Steel's long position.Chung Hung vs. Tainan Spinning Co | Chung Hung vs. Lealea Enterprise Co | Chung Hung vs. China Petrochemical Development | Chung Hung vs. Ruentex Development Co |
Evergreen Steel vs. Catcher Technology Co | Evergreen Steel vs. Solar Applied Materials | Evergreen Steel vs. Shin Zu Shing | Evergreen Steel vs. China Metal Products |
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 Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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