Correlation Between Tianjin Capital and Mitsubishi UFJ
Can any of the company-specific risk be diversified away by investing in both Tianjin Capital 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 Tianjin Capital and Mitsubishi UFJ into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tianjin Capital Environmental and Mitsubishi UFJ Lease, you can compare the effects of market volatilities on Tianjin Capital 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 Tianjin Capital with a short position of Mitsubishi UFJ. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tianjin Capital and Mitsubishi UFJ.
Diversification Opportunities for Tianjin Capital and Mitsubishi UFJ
-0.62 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Tianjin and Mitsubishi is -0.62. Overlapping area represents the amount of risk that can be diversified away by holding Tianjin Capital Environmental and Mitsubishi UFJ Lease in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mitsubishi UFJ Lease and Tianjin Capital 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 Tianjin Capital Environmental 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 Lease has no effect on the direction of Tianjin Capital i.e., Tianjin Capital and Mitsubishi UFJ go up and down completely randomly.
Pair Corralation between Tianjin Capital and Mitsubishi UFJ
Assuming the 90 days horizon Tianjin Capital Environmental is expected to generate 0.32 times more return on investment than Mitsubishi UFJ. However, Tianjin Capital Environmental is 3.13 times less risky than Mitsubishi UFJ. It trades about 0.13 of its potential returns per unit of risk. Mitsubishi UFJ Lease is currently generating about -0.04 per unit of risk. If you would invest 34.00 in Tianjin Capital Environmental on October 10, 2024 and sell it today you would earn a total of 4.00 from holding Tianjin Capital Environmental or generate 11.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 96.83% |
Values | Daily Returns |
Tianjin Capital Environmental vs. Mitsubishi UFJ Lease
Performance |
Timeline |
Tianjin Capital Envi |
Mitsubishi UFJ Lease |
Tianjin Capital and Mitsubishi UFJ Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Tianjin Capital and Mitsubishi UFJ
The main advantage of trading using opposite Tianjin Capital and Mitsubishi UFJ positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tianjin Capital 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.Tianjin Capital vs. Willamette Valley Vineyards | Tianjin Capital vs. Inhibrx | Tianjin Capital vs. I Mab | Tianjin Capital vs. High Performance Beverages |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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