Correlation Between Mytilineos and Profile Systems
Can any of the company-specific risk be diversified away by investing in both Mytilineos and Profile Systems 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 Mytilineos and Profile Systems into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mytilineos SA and Profile Systems Software, you can compare the effects of market volatilities on Mytilineos and Profile Systems 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 Mytilineos with a short position of Profile Systems. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mytilineos and Profile Systems.
Diversification Opportunities for Mytilineos and Profile Systems
-0.14 | Correlation Coefficient |
Good diversification
The 3 months correlation between Mytilineos and Profile is -0.14. Overlapping area represents the amount of risk that can be diversified away by holding Mytilineos SA and Profile Systems Software in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Profile Systems Software and Mytilineos 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 Mytilineos SA are associated (or correlated) with Profile Systems. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Profile Systems Software has no effect on the direction of Mytilineos i.e., Mytilineos and Profile Systems go up and down completely randomly.
Pair Corralation between Mytilineos and Profile Systems
Assuming the 90 days trading horizon Mytilineos SA is expected to under-perform the Profile Systems. In addition to that, Mytilineos is 1.09 times more volatile than Profile Systems Software. It trades about -0.12 of its total potential returns per unit of risk. Profile Systems Software is currently generating about -0.09 per unit of volatility. If you would invest 530.00 in Profile Systems Software on August 24, 2024 and sell it today you would lose (17.00) from holding Profile Systems Software or give up 3.21% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Mytilineos SA vs. Profile Systems Software
Performance |
| Timeline |
| Mytilineos SA |
| Profile Systems Software |
Mytilineos and Profile Systems Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Mytilineos and Profile Systems
The main advantage of trading using opposite Mytilineos and Profile Systems positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mytilineos position performs unexpectedly, Profile Systems 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 Profile Systems will offset losses from the drop in Profile Systems' long position.| Mytilineos vs. Viohalco SA | Mytilineos vs. National Bank of | Mytilineos vs. EL D Mouzakis | Mytilineos vs. Lampsa Hellenic Hotels |
| Profile Systems vs. Terna Energy Societe | Profile Systems vs. Mytilineos SA | Profile Systems vs. Public Power | Profile Systems vs. Autohellas SA |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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