Correlation Between Exxon and MetLife
Can any of the company-specific risk be diversified away by investing in both Exxon and MetLife 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 Exxon and MetLife into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Exxon Mobil Corp and MetLife, you can compare the effects of market volatilities on Exxon and MetLife 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 Exxon with a short position of MetLife. Check out your portfolio center. Please also check ongoing floating volatility patterns of Exxon and MetLife.
Diversification Opportunities for Exxon and MetLife
Poor diversification
The 3 months correlation between Exxon and MetLife is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding Exxon Mobil Corp and MetLife in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MetLife and Exxon 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 Exxon Mobil Corp are associated (or correlated) with MetLife. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MetLife has no effect on the direction of Exxon i.e., Exxon and MetLife go up and down completely randomly.
Pair Corralation between Exxon and MetLife
Considering the 90-day investment horizon Exxon is expected to generate 1.46 times less return on investment than MetLife. But when comparing it to its historical volatility, Exxon Mobil Corp is 1.09 times less risky than MetLife. It trades about 0.03 of its potential returns per unit of risk. MetLife is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 6,865 in MetLife on September 3, 2024 and sell it today you would earn a total of 1,958 from holding MetLife or generate 28.52% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Exxon Mobil Corp vs. MetLife
Performance |
| Timeline |
| Exxon Mobil Corp |
| MetLife |
Exxon and MetLife Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Exxon and MetLife
The main advantage of trading using opposite Exxon and MetLife positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Exxon position performs unexpectedly, MetLife 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 MetLife will offset losses from the drop in MetLife's long position.The idea behind Exxon Mobil Corp and MetLife pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.| MetLife vs. Lincoln National | MetLife vs. Aflac Incorporated | MetLife vs. Unum Group | MetLife vs. Manulife Financial Corp |
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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
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