Correlation Between Lampsa Hellenic and Daios Plastics
Can any of the company-specific risk be diversified away by investing in both Lampsa Hellenic and Daios Plastics 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 Lampsa Hellenic and Daios Plastics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lampsa Hellenic Hotels and Daios Plastics SA, you can compare the effects of market volatilities on Lampsa Hellenic and Daios Plastics 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 Lampsa Hellenic with a short position of Daios Plastics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lampsa Hellenic and Daios Plastics.
Diversification Opportunities for Lampsa Hellenic and Daios Plastics
0.22 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Lampsa and Daios is 0.22. Overlapping area represents the amount of risk that can be diversified away by holding Lampsa Hellenic Hotels and Daios Plastics SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Daios Plastics SA and Lampsa Hellenic 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 Lampsa Hellenic Hotels are associated (or correlated) with Daios Plastics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Daios Plastics SA has no effect on the direction of Lampsa Hellenic i.e., Lampsa Hellenic and Daios Plastics go up and down completely randomly.
Pair Corralation between Lampsa Hellenic and Daios Plastics
Assuming the 90 days trading horizon Lampsa Hellenic is expected to generate 4.12 times less return on investment than Daios Plastics. But when comparing it to its historical volatility, Lampsa Hellenic Hotels is 4.72 times less risky than Daios Plastics. It trades about 0.16 of its potential returns per unit of risk. Daios Plastics SA is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest 398.00 in Daios Plastics SA on April 23, 2025 and sell it today you would earn a total of 122.00 from holding Daios Plastics SA or generate 30.65% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Lampsa Hellenic Hotels vs. Daios Plastics SA
Performance |
Timeline |
Lampsa Hellenic Hotels |
Daios Plastics SA |
Lampsa Hellenic and Daios Plastics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lampsa Hellenic and Daios Plastics
The main advantage of trading using opposite Lampsa Hellenic and Daios Plastics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lampsa Hellenic position performs unexpectedly, Daios Plastics 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 Daios Plastics will offset losses from the drop in Daios Plastics' long position.Lampsa Hellenic vs. CPI Computer Peripherals | Lampsa Hellenic vs. Eurobank Ergasias Services | Lampsa Hellenic vs. As Commercial Industrial | Lampsa Hellenic vs. Hellenic Telecommunications Organization |
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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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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