Correlation Between ALTEO Energiaszolgalta and MOL Nyrt
Can any of the company-specific risk be diversified away by investing in both ALTEO Energiaszolgalta and MOL Nyrt 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 ALTEO Energiaszolgalta and MOL Nyrt into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ALTEO Energiaszolgaltato Nyrt and MOL Nyrt, you can compare the effects of market volatilities on ALTEO Energiaszolgalta and MOL Nyrt 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 ALTEO Energiaszolgalta with a short position of MOL Nyrt. Check out your portfolio center. Please also check ongoing floating volatility patterns of ALTEO Energiaszolgalta and MOL Nyrt.
Diversification Opportunities for ALTEO Energiaszolgalta and MOL Nyrt
0.51 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between ALTEO and MOL is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding ALTEO Energiaszolgaltato Nyrt and MOL Nyrt in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MOL Nyrt and ALTEO Energiaszolgalta 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 ALTEO Energiaszolgaltato Nyrt are associated (or correlated) with MOL Nyrt. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MOL Nyrt has no effect on the direction of ALTEO Energiaszolgalta i.e., ALTEO Energiaszolgalta and MOL Nyrt go up and down completely randomly.
Pair Corralation between ALTEO Energiaszolgalta and MOL Nyrt
Assuming the 90 days trading horizon ALTEO Energiaszolgaltato Nyrt is expected to generate 2.47 times more return on investment than MOL Nyrt. However, ALTEO Energiaszolgalta is 2.47 times more volatile than MOL Nyrt. It trades about 0.58 of its potential returns per unit of risk. MOL Nyrt is currently generating about 0.59 per unit of risk. If you would invest 404,000 in ALTEO Energiaszolgaltato Nyrt on October 20, 2024 and sell it today you would earn a total of 84,000 from holding ALTEO Energiaszolgaltato Nyrt or generate 20.79% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
ALTEO Energiaszolgaltato Nyrt vs. MOL Nyrt
Performance |
Timeline |
ALTEO Energiaszolgalta |
MOL Nyrt |
ALTEO Energiaszolgalta and MOL Nyrt Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ALTEO Energiaszolgalta and MOL Nyrt
The main advantage of trading using opposite ALTEO Energiaszolgalta and MOL Nyrt positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ALTEO Energiaszolgalta position performs unexpectedly, MOL Nyrt 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 MOL Nyrt will offset losses from the drop in MOL Nyrt's long position.ALTEO Energiaszolgalta vs. ENEFI Energiahatekonysagi Nyrt | ALTEO Energiaszolgalta vs. CIG Pannonia Life | ALTEO Energiaszolgalta vs. Infineon Technologies AG | ALTEO Energiaszolgalta vs. AKKO Invest Nyrt |
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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 Transaction History module to view history of all your transactions and understand their impact on performance.
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