Correlation Between Merck and Exxon
Can any of the company-specific risk be diversified away by investing in both Merck and Exxon 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 Merck and Exxon into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Merck Company and Exxon Mobil Corp, you can compare the effects of market volatilities on Merck and Exxon 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 Merck with a short position of Exxon. Check out your portfolio center. Please also check ongoing floating volatility patterns of Merck and Exxon.
Diversification Opportunities for Merck and Exxon
Excellent diversification
The 3 months correlation between Merck and Exxon is -0.52. Overlapping area represents the amount of risk that can be diversified away by holding Merck Company and Exxon Mobil Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Exxon Mobil Corp and Merck 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 Merck Company are associated (or correlated) with Exxon. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Exxon Mobil Corp has no effect on the direction of Merck i.e., Merck and Exxon go up and down completely randomly.
Pair Corralation between Merck and Exxon
Considering the 90-day investment horizon Merck Company is expected to under-perform the Exxon. But the stock apears to be less risky and, when comparing its historical volatility, Merck Company is 1.05 times less risky than Exxon. The stock trades about -0.02 of its potential returns per unit of risk. The Exxon Mobil Corp is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 10,196 in Exxon Mobil Corp on August 15, 2024 and sell it today you would earn a total of 1,951 from holding Exxon Mobil Corp or generate 19.13% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Merck Company vs. Exxon Mobil Corp
Performance |
Timeline |
Merck Company |
Exxon Mobil Corp |
Merck and Exxon Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Merck and Exxon
The main advantage of trading using opposite Merck and Exxon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Merck position performs unexpectedly, Exxon 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 Exxon will offset losses from the drop in Exxon's long position.The idea behind Merck Company and Exxon Mobil Corp 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.Exxon vs. Sligro Food Group | Exxon vs. Morningstar Unconstrained Allocation | Exxon vs. Xponential Fitness | Exxon vs. FitLife Brands, Common |
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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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