Correlation Between Magyar Telekom and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Magyar Telekom and Dow Jones 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 Magyar Telekom and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Magyar Telekom Plc and Dow Jones Industrial, you can compare the effects of market volatilities on Magyar Telekom and Dow Jones 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 Magyar Telekom with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Magyar Telekom and Dow Jones.
Diversification Opportunities for Magyar Telekom and Dow Jones
0.59 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Magyar and Dow is 0.59. Overlapping area represents the amount of risk that can be diversified away by holding Magyar Telekom Plc and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and Magyar Telekom 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 Magyar Telekom Plc are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of Magyar Telekom i.e., Magyar Telekom and Dow Jones go up and down completely randomly.
Pair Corralation between Magyar Telekom and Dow Jones
Assuming the 90 days horizon Magyar Telekom Plc is expected to generate 2.97 times more return on investment than Dow Jones. However, Magyar Telekom is 2.97 times more volatile than Dow Jones Industrial. It trades about 0.1 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.1 per unit of risk. If you would invest 1,050 in Magyar Telekom Plc on August 29, 2024 and sell it today you would earn a total of 517.00 from holding Magyar Telekom Plc or generate 49.24% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Magyar Telekom Plc vs. Dow Jones Industrial
Performance |
Timeline |
Magyar Telekom and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Magyar Telekom Plc
Pair trading matchups for Magyar Telekom
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Magyar Telekom and Dow Jones
The main advantage of trading using opposite Magyar Telekom and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Magyar Telekom position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.Magyar Telekom vs. SwissCom AG | Magyar Telekom vs. Hellenic Telecommunications Org | Magyar Telekom vs. Telefonica SA ADR | Magyar Telekom vs. Lumen Technologies |
Dow Jones vs. Kaltura | Dow Jones vs. Artisan Partners Asset | Dow Jones vs. US Global Investors | Dow Jones vs. Analog Devices |
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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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