Correlation Between Addtech AB and UNITED INTERNET
Can any of the company-specific risk be diversified away by investing in both Addtech AB and UNITED INTERNET 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 Addtech AB and UNITED INTERNET into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Addtech AB and UNITED INTERNET N, you can compare the effects of market volatilities on Addtech AB and UNITED INTERNET 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 Addtech AB with a short position of UNITED INTERNET. Check out your portfolio center. Please also check ongoing floating volatility patterns of Addtech AB and UNITED INTERNET.
Diversification Opportunities for Addtech AB and UNITED INTERNET
0.24 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Addtech and UNITED is 0.24. Overlapping area represents the amount of risk that can be diversified away by holding Addtech AB and UNITED INTERNET N in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on UNITED INTERNET N and Addtech AB 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 Addtech AB are associated (or correlated) with UNITED INTERNET. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of UNITED INTERNET N has no effect on the direction of Addtech AB i.e., Addtech AB and UNITED INTERNET go up and down completely randomly.
Pair Corralation between Addtech AB and UNITED INTERNET
Assuming the 90 days trading horizon Addtech AB is expected to generate 3.34 times less return on investment than UNITED INTERNET. But when comparing it to its historical volatility, Addtech AB is 1.15 times less risky than UNITED INTERNET. It trades about 0.08 of its potential returns per unit of risk. UNITED INTERNET N is currently generating about 0.25 of returns per unit of risk over similar time horizon. If you would invest 1,745 in UNITED INTERNET N on April 23, 2025 and sell it today you would earn a total of 749.00 from holding UNITED INTERNET N or generate 42.92% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Addtech AB vs. UNITED INTERNET N
Performance |
Timeline |
Addtech AB |
UNITED INTERNET N |
Addtech AB and UNITED INTERNET Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Addtech AB and UNITED INTERNET
The main advantage of trading using opposite Addtech AB and UNITED INTERNET positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Addtech AB position performs unexpectedly, UNITED INTERNET 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 UNITED INTERNET will offset losses from the drop in UNITED INTERNET's long position.Addtech AB vs. KAUFMAN ET BROAD | Addtech AB vs. Television Broadcasts Limited | Addtech AB vs. Gaztransport Technigaz SA | Addtech AB vs. TEXAS ROADHOUSE |
UNITED INTERNET vs. US FOODS HOLDING | UNITED INTERNET vs. Addtech AB | UNITED INTERNET vs. Lifeway Foods | UNITED INTERNET vs. Cal Maine Foods |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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