Correlation Between Deutsche Telekom and Mitsui Mining
Can any of the company-specific risk be diversified away by investing in both Deutsche Telekom and Mitsui Mining 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 Deutsche Telekom and Mitsui Mining into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Deutsche Telekom AG and Mitsui Mining Smelting, you can compare the effects of market volatilities on Deutsche Telekom and Mitsui Mining 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 Deutsche Telekom with a short position of Mitsui Mining. Check out your portfolio center. Please also check ongoing floating volatility patterns of Deutsche Telekom and Mitsui Mining.
Diversification Opportunities for Deutsche Telekom and Mitsui Mining
-0.43 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Deutsche and Mitsui is -0.43. Overlapping area represents the amount of risk that can be diversified away by holding Deutsche Telekom AG and Mitsui Mining Smelting in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mitsui Mining Smelting and Deutsche 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 Deutsche Telekom AG are associated (or correlated) with Mitsui Mining. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mitsui Mining Smelting has no effect on the direction of Deutsche Telekom i.e., Deutsche Telekom and Mitsui Mining go up and down completely randomly.
Pair Corralation between Deutsche Telekom and Mitsui Mining
Assuming the 90 days trading horizon Deutsche Telekom AG is expected to generate 0.55 times more return on investment than Mitsui Mining. However, Deutsche Telekom AG is 1.83 times less risky than Mitsui Mining. It trades about 0.11 of its potential returns per unit of risk. Mitsui Mining Smelting is currently generating about 0.03 per unit of risk. If you would invest 2,814 in Deutsche Telekom AG on October 6, 2024 and sell it today you would earn a total of 117.00 from holding Deutsche Telekom AG or generate 4.16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 97.5% |
Values | Daily Returns |
Deutsche Telekom AG vs. Mitsui Mining Smelting
Performance |
Timeline |
Deutsche Telekom |
Mitsui Mining Smelting |
Deutsche Telekom and Mitsui Mining Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Deutsche Telekom and Mitsui Mining
The main advantage of trading using opposite Deutsche Telekom and Mitsui Mining positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Deutsche Telekom position performs unexpectedly, Mitsui Mining 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 Mitsui Mining will offset losses from the drop in Mitsui Mining's long position.Deutsche Telekom vs. ARROW ELECTRONICS | Deutsche Telekom vs. Delta Electronics Public | Deutsche Telekom vs. Methode Electronics | Deutsche Telekom vs. AOI Electronics Co |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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