Correlation Between Mitsubishi Estate and Hongkong Land
Can any of the company-specific risk be diversified away by investing in both Mitsubishi Estate and Hongkong Land 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 Estate and Hongkong Land into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mitsubishi Estate Co and Hongkong Land Holdings, you can compare the effects of market volatilities on Mitsubishi Estate and Hongkong Land 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 Estate with a short position of Hongkong Land. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mitsubishi Estate and Hongkong Land.
Diversification Opportunities for Mitsubishi Estate and Hongkong Land
-0.02 | Correlation Coefficient |
Good diversification
The 3 months correlation between Mitsubishi and Hongkong is -0.02. Overlapping area represents the amount of risk that can be diversified away by holding Mitsubishi Estate Co and Hongkong Land Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hongkong Land Holdings and Mitsubishi Estate 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 Estate Co are associated (or correlated) with Hongkong Land. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hongkong Land Holdings has no effect on the direction of Mitsubishi Estate i.e., Mitsubishi Estate and Hongkong Land go up and down completely randomly.
Pair Corralation between Mitsubishi Estate and Hongkong Land
Assuming the 90 days horizon Mitsubishi Estate Co is expected to generate 1.0 times more return on investment than Hongkong Land. However, Mitsubishi Estate is 1.0 times more volatile than Hongkong Land Holdings. It trades about 0.02 of its potential returns per unit of risk. Hongkong Land Holdings is currently generating about -0.02 per unit of risk. If you would invest 1,320 in Mitsubishi Estate Co on December 8, 2024 and sell it today you would earn a total of 20.00 from holding Mitsubishi Estate Co or generate 1.52% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Mitsubishi Estate Co vs. Hongkong Land Holdings
Performance |
Timeline |
Mitsubishi Estate |
Hongkong Land Holdings |
Mitsubishi Estate and Hongkong Land Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mitsubishi Estate and Hongkong Land
The main advantage of trading using opposite Mitsubishi Estate and Hongkong Land positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mitsubishi Estate position performs unexpectedly, Hongkong Land 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 Hongkong Land will offset losses from the drop in Hongkong Land's long position.Mitsubishi Estate vs. Wizz Air Holdings | Mitsubishi Estate vs. AIR LIQUIDE ADR | Mitsubishi Estate vs. RYANAIR HLDGS ADR | Mitsubishi Estate vs. Cembra Money Bank |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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