Correlation Between Comba Telecom and ALBIS LEASING
Can any of the company-specific risk be diversified away by investing in both Comba Telecom and ALBIS LEASING 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 Comba Telecom and ALBIS LEASING into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Comba Telecom Systems and ALBIS LEASING AG, you can compare the effects of market volatilities on Comba Telecom and ALBIS LEASING 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 Comba Telecom with a short position of ALBIS LEASING. Check out your portfolio center. Please also check ongoing floating volatility patterns of Comba Telecom and ALBIS LEASING.
Diversification Opportunities for Comba Telecom and ALBIS LEASING
-0.35 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Comba and ALBIS is -0.35. Overlapping area represents the amount of risk that can be diversified away by holding Comba Telecom Systems and ALBIS LEASING AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ALBIS LEASING AG and Comba Telecom 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 Comba Telecom Systems are associated (or correlated) with ALBIS LEASING. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ALBIS LEASING AG has no effect on the direction of Comba Telecom i.e., Comba Telecom and ALBIS LEASING go up and down completely randomly.
Pair Corralation between Comba Telecom and ALBIS LEASING
Assuming the 90 days trading horizon Comba Telecom Systems is expected to generate 13.93 times more return on investment than ALBIS LEASING. However, Comba Telecom is 13.93 times more volatile than ALBIS LEASING AG. It trades about 0.02 of its potential returns per unit of risk. ALBIS LEASING AG is currently generating about -0.09 per unit of risk. If you would invest 12.00 in Comba Telecom Systems on September 12, 2024 and sell it today you would earn a total of 0.00 from holding Comba Telecom Systems or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 95.65% |
Values | Daily Returns |
Comba Telecom Systems vs. ALBIS LEASING AG
Performance |
Timeline |
Comba Telecom Systems |
ALBIS LEASING AG |
Comba Telecom and ALBIS LEASING Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Comba Telecom and ALBIS LEASING
The main advantage of trading using opposite Comba Telecom and ALBIS LEASING positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Comba Telecom position performs unexpectedly, ALBIS LEASING 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 ALBIS LEASING will offset losses from the drop in ALBIS LEASING's long position.Comba Telecom vs. Apple Inc | Comba Telecom vs. Apple Inc | Comba Telecom vs. Apple Inc | Comba Telecom vs. Apple Inc |
ALBIS LEASING vs. Apple Inc | ALBIS LEASING vs. Apple Inc | ALBIS LEASING vs. Apple Inc | ALBIS LEASING vs. Apple Inc |
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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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