Correlation Between EOG Resources and Sumitomo Mitsui
Can any of the company-specific risk be diversified away by investing in both EOG Resources 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 EOG Resources and Sumitomo Mitsui into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between EOG Resources and Sumitomo Mitsui Financial, you can compare the effects of market volatilities on EOG Resources 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 EOG Resources with a short position of Sumitomo Mitsui. Check out your portfolio center. Please also check ongoing floating volatility patterns of EOG Resources and Sumitomo Mitsui.
Diversification Opportunities for EOG Resources and Sumitomo Mitsui
0.86 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between EOG and Sumitomo is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding EOG Resources and Sumitomo Mitsui Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sumitomo Mitsui Financial and EOG Resources 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 EOG Resources 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 Financial has no effect on the direction of EOG Resources i.e., EOG Resources and Sumitomo Mitsui go up and down completely randomly.
Pair Corralation between EOG Resources and Sumitomo Mitsui
Assuming the 90 days trading horizon EOG Resources is expected to generate 1.63 times less return on investment than Sumitomo Mitsui. But when comparing it to its historical volatility, EOG Resources is 1.58 times less risky than Sumitomo Mitsui. It trades about 0.1 of its potential returns per unit of risk. Sumitomo Mitsui Financial is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 6,846 in Sumitomo Mitsui Financial on September 12, 2024 and sell it today you would earn a total of 2,190 from holding Sumitomo Mitsui Financial or generate 31.99% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 96.85% |
| Values | Daily Returns |
EOG Resources vs. Sumitomo Mitsui Financial
Performance |
| Timeline |
| EOG Resources |
| Sumitomo Mitsui Financial |
EOG Resources and Sumitomo Mitsui Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with EOG Resources and Sumitomo Mitsui
The main advantage of trading using opposite EOG Resources and Sumitomo Mitsui positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if EOG Resources 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.| EOG Resources vs. Petro Rio SA | EOG Resources vs. Vamos Locao de | EOG Resources vs. SIMPAR SA | EOG Resources vs. Ambipar Participaes e |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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