Correlation Between Reinsurance Group and Mitsubishi Gas
Can any of the company-specific risk be diversified away by investing in both Reinsurance Group and Mitsubishi Gas 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 Reinsurance Group and Mitsubishi Gas into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Reinsurance Group of and Mitsubishi Gas Chemical, you can compare the effects of market volatilities on Reinsurance Group and Mitsubishi Gas 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 Reinsurance Group with a short position of Mitsubishi Gas. Check out your portfolio center. Please also check ongoing floating volatility patterns of Reinsurance Group and Mitsubishi Gas.
Diversification Opportunities for Reinsurance Group and Mitsubishi Gas
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Reinsurance and Mitsubishi is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Reinsurance Group of and Mitsubishi Gas Chemical in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mitsubishi Gas Chemical and Reinsurance Group 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 Reinsurance Group of are associated (or correlated) with Mitsubishi Gas. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mitsubishi Gas Chemical has no effect on the direction of Reinsurance Group i.e., Reinsurance Group and Mitsubishi Gas go up and down completely randomly.
Pair Corralation between Reinsurance Group and Mitsubishi Gas
Assuming the 90 days trading horizon Reinsurance Group of is expected to generate 1.67 times more return on investment than Mitsubishi Gas. However, Reinsurance Group is 1.67 times more volatile than Mitsubishi Gas Chemical. It trades about 0.09 of its potential returns per unit of risk. Mitsubishi Gas Chemical is currently generating about 0.11 per unit of risk. If you would invest 19,415 in Reinsurance Group of on October 26, 2024 and sell it today you would earn a total of 1,985 from holding Reinsurance Group of or generate 10.22% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Reinsurance Group of vs. Mitsubishi Gas Chemical
Performance |
Timeline |
Reinsurance Group |
Mitsubishi Gas Chemical |
Reinsurance Group and Mitsubishi Gas Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Reinsurance Group and Mitsubishi Gas
The main advantage of trading using opposite Reinsurance Group and Mitsubishi Gas positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Reinsurance Group position performs unexpectedly, Mitsubishi Gas 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 Gas will offset losses from the drop in Mitsubishi Gas' long position.Reinsurance Group vs. ARISTOCRAT LEISURE | Reinsurance Group vs. Chesapeake Utilities | Reinsurance Group vs. PLAYTECH | Reinsurance Group vs. NORTHEAST UTILITIES |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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