Correlation Between Zijin Mining and Linedata Services
Can any of the company-specific risk be diversified away by investing in both Zijin Mining and Linedata Services 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 Zijin Mining and Linedata Services into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Zijin Mining Group and Linedata Services SA, you can compare the effects of market volatilities on Zijin Mining and Linedata Services 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 Zijin Mining with a short position of Linedata Services. Check out your portfolio center. Please also check ongoing floating volatility patterns of Zijin Mining and Linedata Services.
Diversification Opportunities for Zijin Mining and Linedata Services
-0.36 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Zijin and Linedata is -0.36. Overlapping area represents the amount of risk that can be diversified away by holding Zijin Mining Group and Linedata Services SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Linedata Services and Zijin Mining 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 Zijin Mining Group are associated (or correlated) with Linedata Services. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Linedata Services has no effect on the direction of Zijin Mining i.e., Zijin Mining and Linedata Services go up and down completely randomly.
Pair Corralation between Zijin Mining and Linedata Services
Assuming the 90 days horizon Zijin Mining Group is expected to generate 1.78 times more return on investment than Linedata Services. However, Zijin Mining is 1.78 times more volatile than Linedata Services SA. It trades about 0.15 of its potential returns per unit of risk. Linedata Services SA is currently generating about -0.02 per unit of risk. If you would invest 167.00 in Zijin Mining Group on December 23, 2024 and sell it today you would earn a total of 44.00 from holding Zijin Mining Group or generate 26.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Zijin Mining Group vs. Linedata Services SA
Performance |
Timeline |
Zijin Mining Group |
Linedata Services |
Zijin Mining and Linedata Services Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Zijin Mining and Linedata Services
The main advantage of trading using opposite Zijin Mining and Linedata Services positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Zijin Mining position performs unexpectedly, Linedata Services 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 Linedata Services will offset losses from the drop in Linedata Services' long position.Zijin Mining vs. ANGI Homeservices | Zijin Mining vs. Nok Airlines PCL | Zijin Mining vs. SINGAPORE AIRLINES | Zijin Mining vs. Canadian Utilities 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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