Correlation Between Exxon Mobil and MagnaChip Semiconductor
Can any of the company-specific risk be diversified away by investing in both Exxon Mobil and MagnaChip Semiconductor 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 MagnaChip Semiconductor into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Exxon Mobil and MagnaChip Semiconductor Corp, you can compare the effects of market volatilities on Exxon Mobil and MagnaChip Semiconductor 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 MagnaChip Semiconductor. Check out your portfolio center. Please also check ongoing floating volatility patterns of Exxon Mobil and MagnaChip Semiconductor.
Diversification Opportunities for Exxon Mobil and MagnaChip Semiconductor
-0.27 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Exxon and MagnaChip is -0.27. Overlapping area represents the amount of risk that can be diversified away by holding Exxon Mobil and MagnaChip Semiconductor Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MagnaChip Semiconductor 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 MagnaChip Semiconductor. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MagnaChip Semiconductor has no effect on the direction of Exxon Mobil i.e., Exxon Mobil and MagnaChip Semiconductor go up and down completely randomly.
Pair Corralation between Exxon Mobil and MagnaChip Semiconductor
Assuming the 90 days trading horizon Exxon Mobil is expected to generate 0.56 times more return on investment than MagnaChip Semiconductor. However, Exxon Mobil is 1.8 times less risky than MagnaChip Semiconductor. It trades about 0.0 of its potential returns per unit of risk. MagnaChip Semiconductor Corp is currently generating about -0.04 per unit of risk. If you would invest 10,771 in Exxon Mobil on October 25, 2024 and sell it today you would lose (121.00) from holding Exxon Mobil or give up 1.12% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Exxon Mobil vs. MagnaChip Semiconductor Corp
Performance |
Timeline |
Exxon Mobil |
MagnaChip Semiconductor |
Exxon Mobil and MagnaChip Semiconductor Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Exxon Mobil and MagnaChip Semiconductor
The main advantage of trading using opposite Exxon Mobil and MagnaChip Semiconductor positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Exxon Mobil position performs unexpectedly, MagnaChip Semiconductor 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 MagnaChip Semiconductor will offset losses from the drop in MagnaChip Semiconductor's long position.Exxon Mobil vs. SOUTHWEST AIRLINES | Exxon Mobil vs. American Public Education | Exxon Mobil vs. Grand Canyon Education | Exxon Mobil vs. JAPAN AIRLINES |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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