Correlation Between MOL Nyrt and Magyar Telekom
Can any of the company-specific risk be diversified away by investing in both MOL Nyrt and Magyar Telekom 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 Nyrt and Magyar Telekom into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MOL Nyrt and Magyar Telekom PLC, you can compare the effects of market volatilities on MOL Nyrt and Magyar Telekom 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 Nyrt with a short position of Magyar Telekom. Check out your portfolio center. Please also check ongoing floating volatility patterns of MOL Nyrt and Magyar Telekom.
Diversification Opportunities for MOL Nyrt and Magyar Telekom
-0.11 | Correlation Coefficient |
Good diversification
The 3 months correlation between MOL and Magyar is -0.11. Overlapping area represents the amount of risk that can be diversified away by holding MOL Nyrt and Magyar Telekom PLC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Magyar Telekom PLC and MOL Nyrt 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 Nyrt are associated (or correlated) with Magyar Telekom. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Magyar Telekom PLC has no effect on the direction of MOL Nyrt i.e., MOL Nyrt and Magyar Telekom go up and down completely randomly.
Pair Corralation between MOL Nyrt and Magyar Telekom
Assuming the 90 days trading horizon MOL Nyrt is expected to generate 6.67 times less return on investment than Magyar Telekom. But when comparing it to its historical volatility, MOL Nyrt is 1.2 times less risky than Magyar Telekom. It trades about 0.1 of its potential returns per unit of risk. Magyar Telekom PLC is currently generating about 0.56 of returns per unit of risk over similar time horizon. If you would invest 108,600 in Magyar Telekom PLC on August 25, 2024 and sell it today you would earn a total of 15,800 from holding Magyar Telekom PLC or generate 14.55% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
MOL Nyrt vs. Magyar Telekom PLC
Performance |
Timeline |
MOL Nyrt |
Magyar Telekom PLC |
MOL Nyrt and Magyar Telekom Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MOL Nyrt and Magyar Telekom
The main advantage of trading using opposite MOL Nyrt and Magyar Telekom positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MOL Nyrt position performs unexpectedly, Magyar Telekom 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 Magyar Telekom will offset losses from the drop in Magyar Telekom's long position.MOL Nyrt vs. Magyar Telekom PLC | MOL Nyrt vs. Infineon Technologies AG | MOL Nyrt vs. AKKO Invest Nyrt | MOL Nyrt vs. Deutsche Lufthansa AG |
Magyar Telekom vs. Commerzbank AG | Magyar Telekom vs. OTP Bank Nyrt | Magyar Telekom vs. NordTelekom Telecommunications Service | Magyar Telekom vs. Nutex Investments PLC |
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 Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
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