Correlation Between Exxon and MicroSectors FANG
Can any of the company-specific risk be diversified away by investing in both Exxon and MicroSectors FANG 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 MicroSectors FANG 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 MicroSectors FANG Index, you can compare the effects of market volatilities on Exxon and MicroSectors FANG 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 MicroSectors FANG. Check out your portfolio center. Please also check ongoing floating volatility patterns of Exxon and MicroSectors FANG.
Diversification Opportunities for Exxon and MicroSectors FANG
-0.55 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Exxon and MicroSectors is -0.55. Overlapping area represents the amount of risk that can be diversified away by holding Exxon Mobil Corp and MicroSectors FANG Index in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MicroSectors FANG Index 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 MicroSectors FANG. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MicroSectors FANG Index has no effect on the direction of Exxon i.e., Exxon and MicroSectors FANG go up and down completely randomly.
Pair Corralation between Exxon and MicroSectors FANG
Considering the 90-day investment horizon Exxon Mobil Corp is expected to under-perform the MicroSectors FANG. But the stock apears to be less risky and, when comparing its historical volatility, Exxon Mobil Corp is 3.25 times less risky than MicroSectors FANG. The stock trades about -0.66 of its potential returns per unit of risk. The MicroSectors FANG Index is currently generating about 0.23 of returns per unit of risk over similar time horizon. If you would invest 8,293 in MicroSectors FANG Index on September 21, 2024 and sell it today you would earn a total of 1,206 from holding MicroSectors FANG Index or generate 14.54% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Exxon Mobil Corp vs. MicroSectors FANG Index
Performance |
Timeline |
Exxon Mobil Corp |
MicroSectors FANG Index |
Exxon and MicroSectors FANG Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Exxon and MicroSectors FANG
The main advantage of trading using opposite Exxon and MicroSectors FANG positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Exxon position performs unexpectedly, MicroSectors FANG 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 MicroSectors FANG will offset losses from the drop in MicroSectors FANG's long position.Exxon vs. Aquagold International | Exxon vs. Thrivent High Yield | Exxon vs. Morningstar Unconstrained Allocation | Exxon vs. Via Renewables |
MicroSectors FANG vs. MicroSectors FANG ETN | MicroSectors FANG vs. Direxion Daily Dow | MicroSectors FANG vs. MicroSectors FANG Index | MicroSectors FANG vs. Direxion Daily Cnsmr |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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