Correlation Between Sumitomo Mitsui and General Dynamics
Can any of the company-specific risk be diversified away by investing in both Sumitomo Mitsui and General Dynamics 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 Sumitomo Mitsui and General Dynamics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sumitomo Mitsui Financial and General Dynamics, you can compare the effects of market volatilities on Sumitomo Mitsui and General Dynamics 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 Sumitomo Mitsui with a short position of General Dynamics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sumitomo Mitsui and General Dynamics.
Diversification Opportunities for Sumitomo Mitsui and General Dynamics
-0.13 | Correlation Coefficient |
Good diversification
The 3 months correlation between Sumitomo and General is -0.13. Overlapping area represents the amount of risk that can be diversified away by holding Sumitomo Mitsui Financial and General Dynamics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on General Dynamics and Sumitomo Mitsui 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 Sumitomo Mitsui Financial are associated (or correlated) with General Dynamics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of General Dynamics has no effect on the direction of Sumitomo Mitsui i.e., Sumitomo Mitsui and General Dynamics go up and down completely randomly.
Pair Corralation between Sumitomo Mitsui and General Dynamics
Assuming the 90 days trading horizon Sumitomo Mitsui Financial is expected to generate 1.37 times more return on investment than General Dynamics. However, Sumitomo Mitsui is 1.37 times more volatile than General Dynamics. It trades about 0.14 of its potential returns per unit of risk. General Dynamics is currently generating about 0.01 per unit of risk. If you would invest 7,680 in Sumitomo Mitsui Financial on April 24, 2025 and sell it today you would earn a total of 1,080 from holding Sumitomo Mitsui Financial or generate 14.06% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Sumitomo Mitsui Financial vs. General Dynamics
Performance |
Timeline |
Sumitomo Mitsui Financial |
General Dynamics |
Sumitomo Mitsui and General Dynamics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sumitomo Mitsui and General Dynamics
The main advantage of trading using opposite Sumitomo Mitsui and General Dynamics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sumitomo Mitsui position performs unexpectedly, General Dynamics 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 General Dynamics will offset losses from the drop in General Dynamics' long position.Sumitomo Mitsui vs. Fresenius Medical Care | Sumitomo Mitsui vs. Beyond Meat | Sumitomo Mitsui vs. Automatic Data Processing | Sumitomo Mitsui vs. JB Hunt Transport |
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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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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