Correlation Between Zijin Mining and Mitsubishi UFJ
Can any of the company-specific risk be diversified away by investing in both Zijin Mining and Mitsubishi UFJ 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 Mitsubishi UFJ 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 Mitsubishi UFJ Financial, you can compare the effects of market volatilities on Zijin Mining and Mitsubishi UFJ 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 Mitsubishi UFJ. Check out your portfolio center. Please also check ongoing floating volatility patterns of Zijin Mining and Mitsubishi UFJ.
Diversification Opportunities for Zijin Mining and Mitsubishi UFJ
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Zijin and Mitsubishi is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding Zijin Mining Group and Mitsubishi UFJ Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mitsubishi UFJ Financial 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 Mitsubishi UFJ. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mitsubishi UFJ Financial has no effect on the direction of Zijin Mining i.e., Zijin Mining and Mitsubishi UFJ go up and down completely randomly.
Pair Corralation between Zijin Mining and Mitsubishi UFJ
Assuming the 90 days horizon Zijin Mining is expected to generate 1.2 times less return on investment than Mitsubishi UFJ. In addition to that, Zijin Mining is 1.94 times more volatile than Mitsubishi UFJ Financial. It trades about 0.07 of its total potential returns per unit of risk. Mitsubishi UFJ Financial is currently generating about 0.15 per unit of volatility. If you would invest 1,080 in Mitsubishi UFJ Financial on November 20, 2024 and sell it today you would earn a total of 140.00 from holding Mitsubishi UFJ Financial or generate 12.96% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Zijin Mining Group vs. Mitsubishi UFJ Financial
Performance |
Timeline |
Zijin Mining Group |
Mitsubishi UFJ Financial |
Zijin Mining and Mitsubishi UFJ Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Zijin Mining and Mitsubishi UFJ
The main advantage of trading using opposite Zijin Mining and Mitsubishi UFJ positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Zijin Mining position performs unexpectedly, Mitsubishi UFJ 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 Mitsubishi UFJ will offset losses from the drop in Mitsubishi UFJ's long position.Zijin Mining vs. Xenia Hotels Resorts | Zijin Mining vs. North American Construction | Zijin Mining vs. Sumitomo Mitsui Construction | Zijin Mining vs. InterContinental Hotels Group |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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