Correlation Between Digital China and Green World
Can any of the company-specific risk be diversified away by investing in both Digital China and Green World 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 Digital China and Green World into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Digital China Holdings and Green World Fintech, you can compare the effects of market volatilities on Digital China and Green World 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 Digital China with a short position of Green World. Check out your portfolio center. Please also check ongoing floating volatility patterns of Digital China and Green World.
Diversification Opportunities for Digital China and Green World
-0.18 | Correlation Coefficient |
Good diversification
The 3 months correlation between Digital and Green is -0.18. Overlapping area represents the amount of risk that can be diversified away by holding Digital China Holdings and Green World Fintech in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Green World Fintech and Digital 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 Digital China Holdings are associated (or correlated) with Green World. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Green World Fintech has no effect on the direction of Digital China i.e., Digital China and Green World go up and down completely randomly.
Pair Corralation between Digital China and Green World
Assuming the 90 days trading horizon Digital China Holdings is expected to generate 1.28 times more return on investment than Green World. However, Digital China is 1.28 times more volatile than Green World Fintech. It trades about 0.13 of its potential returns per unit of risk. Green World Fintech is currently generating about -0.26 per unit of risk. If you would invest 682.00 in Digital China Holdings on September 22, 2024 and sell it today you would earn a total of 51.00 from holding Digital China Holdings or generate 7.48% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Digital China Holdings vs. Green World Fintech
Performance |
Timeline |
Digital China Holdings |
Green World Fintech |
Digital China and Green World Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Digital China and Green World
The main advantage of trading using opposite Digital China and Green World positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Digital China position performs unexpectedly, Green World 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 Green World will offset losses from the drop in Green World's long position.Digital China vs. Acer E Enabling Service | Digital China vs. Sysage Technology Co | Digital China vs. Wistron Information Technology | Digital China vs. Green World Fintech |
Green World vs. Digital China Holdings | Green World vs. Acer E Enabling Service | Green World vs. Sysage Technology Co | Green World vs. Wistron Information Technology |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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