Correlation Between Exxon Mobil and Oracle

Can any of the company-specific risk be diversified away by investing in both Exxon Mobil and Oracle 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 Mobil and Oracle into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Exxon Mobil and Oracle, you can compare the effects of market volatilities on Exxon Mobil and Oracle 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 Mobil with a short position of Oracle. Check out your portfolio center. Please also check ongoing floating volatility patterns of Exxon Mobil and Oracle.

Diversification Opportunities for Exxon Mobil and Oracle

0.53

Correlation Coefficient

Exxon Mobil  Oracle

Very weak diversification

The 3 months correlation between Exxon and Oracle is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding Exxon Mobil and Oracle in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Oracle and Exxon Mobil 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 are associated (or correlated) with Oracle. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Oracle has no effect on the direction of Exxon Mobil i.e., Exxon Mobil and Oracle go up and down completely randomly.

Pair Corralation between Exxon Mobil and Oracle

Assuming the 90 days trading horizon Exxon Mobil is expected to generate 2.95 times less return on investment than Oracle. But when comparing it to its historical volatility, Exxon Mobil is 1.58 times less risky than Oracle. It trades about 0.06 of its potential returns per unit of risk. Oracle is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest  12,655  in Oracle on October 7, 2024 and sell it today you would earn a total of  4,575  from holding Oracle or generate 36.15% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Weak
Accuracy	100.0%
Values	Daily Returns

Exxon Mobil  vs.  Oracle

Exxon Mobil

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Exxon Mobil has generated negative risk-adjusted returns adding no value to investors with long positions. Despite somewhat strong basic indicators, Exxon Mobil is not utilizing all of its potentials. The newest stock price disturbance, may contribute to short-term losses for the investors.

Oracle

Risk-Adjusted Performance

6 of 100

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in Oracle are ranked lower than 6 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak fundamental indicators, Oracle sustained solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Exxon Mobil and Oracle

The main advantage of trading using opposite Exxon Mobil and Oracle positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Exxon Mobil position performs unexpectedly, Oracle 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 Oracle will offset losses from the drop in Oracle's long position.

The idea behind Exxon Mobil and Oracle 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.

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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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.