Correlation Between Deutsche Telekom and SCANDINAV REAL
Can any of the company-specific risk be diversified away by investing in both Deutsche Telekom and SCANDINAV REAL 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 SCANDINAV REAL 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 SCANDINAV REAL HEART, you can compare the effects of market volatilities on Deutsche Telekom and SCANDINAV REAL 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 SCANDINAV REAL. Check out your portfolio center. Please also check ongoing floating volatility patterns of Deutsche Telekom and SCANDINAV REAL.
Diversification Opportunities for Deutsche Telekom and SCANDINAV REAL
-0.66 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Deutsche and SCANDINAV is -0.66. Overlapping area represents the amount of risk that can be diversified away by holding Deutsche Telekom AG and SCANDINAV REAL HEART in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SCANDINAV REAL HEART 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 SCANDINAV REAL. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SCANDINAV REAL HEART has no effect on the direction of Deutsche Telekom i.e., Deutsche Telekom and SCANDINAV REAL go up and down completely randomly.
Pair Corralation between Deutsche Telekom and SCANDINAV REAL
Assuming the 90 days trading horizon Deutsche Telekom is expected to generate 26.59 times less return on investment than SCANDINAV REAL. But when comparing it to its historical volatility, Deutsche Telekom AG is 81.21 times less risky than SCANDINAV REAL. It trades about 0.16 of its potential returns per unit of risk. SCANDINAV REAL HEART is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 339.00 in SCANDINAV REAL HEART on October 6, 2024 and sell it today you would lose (243.00) from holding SCANDINAV REAL HEART or give up 71.68% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 99.6% |
Values | Daily Returns |
Deutsche Telekom AG vs. SCANDINAV REAL HEART
Performance |
Timeline |
Deutsche Telekom |
SCANDINAV REAL HEART |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Deutsche Telekom and SCANDINAV REAL Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Deutsche Telekom and SCANDINAV REAL
The main advantage of trading using opposite Deutsche Telekom and SCANDINAV REAL positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Deutsche Telekom position performs unexpectedly, SCANDINAV REAL 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 SCANDINAV REAL will offset losses from the drop in SCANDINAV REAL'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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