Correlation Between Mitsubishi UFJ and Sumitomo Mitsui
Can any of the company-specific risk be diversified away by investing in both Mitsubishi UFJ and Sumitomo Mitsui 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 Mitsubishi UFJ and Sumitomo Mitsui into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mitsubishi UFJ Financial and Sumitomo Mitsui Trust, you can compare the effects of market volatilities on Mitsubishi UFJ and Sumitomo Mitsui 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 Mitsubishi UFJ with a short position of Sumitomo Mitsui. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mitsubishi UFJ and Sumitomo Mitsui.
Diversification Opportunities for Mitsubishi UFJ and Sumitomo Mitsui
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Mitsubishi and Sumitomo is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Mitsubishi UFJ Financial and Sumitomo Mitsui Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sumitomo Mitsui Trust and Mitsubishi UFJ 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 Mitsubishi UFJ Financial are associated (or correlated) with Sumitomo Mitsui. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sumitomo Mitsui Trust has no effect on the direction of Mitsubishi UFJ i.e., Mitsubishi UFJ and Sumitomo Mitsui go up and down completely randomly.
Pair Corralation between Mitsubishi UFJ and Sumitomo Mitsui
Assuming the 90 days horizon Mitsubishi UFJ Financial is expected to generate 1.73 times more return on investment than Sumitomo Mitsui. However, Mitsubishi UFJ is 1.73 times more volatile than Sumitomo Mitsui Trust. It trades about 0.09 of its potential returns per unit of risk. Sumitomo Mitsui Trust is currently generating about -0.03 per unit of risk. If you would invest 1,005 in Mitsubishi UFJ Financial on September 26, 2024 and sell it today you would earn a total of 145.00 from holding Mitsubishi UFJ Financial or generate 14.43% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.44% |
Values | Daily Returns |
Mitsubishi UFJ Financial vs. Sumitomo Mitsui Trust
Performance |
Timeline |
Mitsubishi UFJ Financial |
Sumitomo Mitsui Trust |
Mitsubishi UFJ and Sumitomo Mitsui Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mitsubishi UFJ and Sumitomo Mitsui
The main advantage of trading using opposite Mitsubishi UFJ and Sumitomo Mitsui positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mitsubishi UFJ position performs unexpectedly, Sumitomo Mitsui 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 Sumitomo Mitsui will offset losses from the drop in Sumitomo Mitsui's long position.Mitsubishi UFJ vs. China Construction Bank | Mitsubishi UFJ vs. National Australia Bank | Mitsubishi UFJ vs. Svenska Handelsbanken AB | Mitsubishi UFJ vs. Bank of America |
Sumitomo Mitsui vs. Banco Bradesco SA | Sumitomo Mitsui vs. Itau Unibanco Banco | Sumitomo Mitsui vs. Deutsche Bank AG | Sumitomo Mitsui vs. Banco Santander Brasil |
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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