Correlation Between MOL Hungarian and GlobalData PLC
Can any of the company-specific risk be diversified away by investing in both MOL Hungarian and GlobalData PLC 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 MOL Hungarian and GlobalData PLC into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MOL Hungarian Oil and GlobalData PLC, you can compare the effects of market volatilities on MOL Hungarian and GlobalData PLC 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 MOL Hungarian with a short position of GlobalData PLC. Check out your portfolio center. Please also check ongoing floating volatility patterns of MOL Hungarian and GlobalData PLC.
Diversification Opportunities for MOL Hungarian and GlobalData PLC
-0.63 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between MOL and GlobalData is -0.63. Overlapping area represents the amount of risk that can be diversified away by holding MOL Hungarian Oil and GlobalData PLC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GlobalData PLC and MOL Hungarian 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 MOL Hungarian Oil are associated (or correlated) with GlobalData PLC. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GlobalData PLC has no effect on the direction of MOL Hungarian i.e., MOL Hungarian and GlobalData PLC go up and down completely randomly.
Pair Corralation between MOL Hungarian and GlobalData PLC
Assuming the 90 days trading horizon MOL Hungarian is expected to generate 133.67 times less return on investment than GlobalData PLC. But when comparing it to its historical volatility, MOL Hungarian Oil is 667.18 times less risky than GlobalData PLC. It trades about 0.13 of its potential returns per unit of risk. GlobalData PLC is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 13,800 in GlobalData PLC on April 22, 2025 and sell it today you would earn a total of 200.00 from holding GlobalData PLC or generate 1.45% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
MOL Hungarian Oil vs. GlobalData PLC
Performance |
Timeline |
MOL Hungarian Oil |
GlobalData PLC |
MOL Hungarian and GlobalData PLC Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MOL Hungarian and GlobalData PLC
The main advantage of trading using opposite MOL Hungarian and GlobalData PLC positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MOL Hungarian position performs unexpectedly, GlobalData PLC 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 GlobalData PLC will offset losses from the drop in GlobalData PLC's long position.MOL Hungarian vs. Roebuck Food Group | MOL Hungarian vs. Vienna Insurance Group | MOL Hungarian vs. UNIQA Insurance Group | MOL Hungarian vs. Charter Communications Cl |
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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 Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
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