Correlation Between China Aircraft and Mitsubishi UFJ
Can any of the company-specific risk be diversified away by investing in both China Aircraft 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 China Aircraft and Mitsubishi UFJ into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between China Aircraft Leasing and Mitsubishi UFJ Lease, you can compare the effects of market volatilities on China Aircraft 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 China Aircraft with a short position of Mitsubishi UFJ. Check out your portfolio center. Please also check ongoing floating volatility patterns of China Aircraft and Mitsubishi UFJ.
Diversification Opportunities for China Aircraft and Mitsubishi UFJ
0.57 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between China and Mitsubishi is 0.57. Overlapping area represents the amount of risk that can be diversified away by holding China Aircraft Leasing 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 China Aircraft 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 China Aircraft Leasing 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 China Aircraft i.e., China Aircraft and Mitsubishi UFJ go up and down completely randomly.
Pair Corralation between China Aircraft and Mitsubishi UFJ
Assuming the 90 days horizon China Aircraft Leasing is expected to under-perform the Mitsubishi UFJ. But the pink sheet apears to be less risky and, when comparing its historical volatility, China Aircraft Leasing is 4.05 times less risky than Mitsubishi UFJ. The pink sheet trades about -0.13 of its potential returns per unit of risk. The Mitsubishi UFJ Lease is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest 1,392 in Mitsubishi UFJ Lease on September 13, 2024 and sell it today you would lose (44.00) from holding Mitsubishi UFJ Lease or give up 3.16% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.44% |
Values | Daily Returns |
China Aircraft Leasing vs. Mitsubishi UFJ Lease
Performance |
Timeline |
China Aircraft Leasing |
Mitsubishi UFJ Lease |
China Aircraft and Mitsubishi UFJ Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with China Aircraft and Mitsubishi UFJ
The main advantage of trading using opposite China Aircraft and Mitsubishi UFJ positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China Aircraft 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.China Aircraft vs. BRP Inc | China Aircraft vs. Genfit | China Aircraft vs. Hasbro Inc | China Aircraft vs. JD Sports Fashion |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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