Correlation Between DATAGROUP and AMAG Austria
Can any of the company-specific risk be diversified away by investing in both DATAGROUP and AMAG Austria 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 DATAGROUP and AMAG Austria into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between DATAGROUP SE and AMAG Austria Metall, you can compare the effects of market volatilities on DATAGROUP and AMAG Austria 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 DATAGROUP with a short position of AMAG Austria. Check out your portfolio center. Please also check ongoing floating volatility patterns of DATAGROUP and AMAG Austria.
Diversification Opportunities for DATAGROUP and AMAG Austria
0.11 | Correlation Coefficient |
Average diversification
The 3 months correlation between DATAGROUP and AMAG is 0.11. Overlapping area represents the amount of risk that can be diversified away by holding DATAGROUP SE and AMAG Austria Metall in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AMAG Austria Metall and DATAGROUP 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 DATAGROUP SE are associated (or correlated) with AMAG Austria. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AMAG Austria Metall has no effect on the direction of DATAGROUP i.e., DATAGROUP and AMAG Austria go up and down completely randomly.
Pair Corralation between DATAGROUP and AMAG Austria
Assuming the 90 days trading horizon DATAGROUP SE is expected to under-perform the AMAG Austria. In addition to that, DATAGROUP is 1.43 times more volatile than AMAG Austria Metall. It trades about -0.03 of its total potential returns per unit of risk. AMAG Austria Metall is currently generating about -0.03 per unit of volatility. If you would invest 3,060 in AMAG Austria Metall on October 16, 2024 and sell it today you would lose (660.00) from holding AMAG Austria Metall or give up 21.57% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 99.8% |
Values | Daily Returns |
DATAGROUP SE vs. AMAG Austria Metall
Performance |
Timeline |
DATAGROUP SE |
AMAG Austria Metall |
DATAGROUP and AMAG Austria Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with DATAGROUP and AMAG Austria
The main advantage of trading using opposite DATAGROUP and AMAG Austria positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DATAGROUP position performs unexpectedly, AMAG Austria 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 AMAG Austria will offset losses from the drop in AMAG Austria's long position.DATAGROUP vs. Shenandoah Telecommunications | DATAGROUP vs. Ubisoft Entertainment SA | DATAGROUP vs. Charter Communications | DATAGROUP vs. TOWNSQUARE MEDIA INC |
AMAG Austria vs. PARKEN Sport Entertainment | AMAG Austria vs. Yuexiu Transport Infrastructure | AMAG Austria vs. Cleanaway Waste Management | AMAG Austria vs. DAIDO METAL TD |
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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