Correlation Between Paragon GmbH and Paragon Care
Can any of the company-specific risk be diversified away by investing in both Paragon GmbH and Paragon Care 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 Paragon GmbH and Paragon Care into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between paragon GmbH Co and Paragon Care Limited, you can compare the effects of market volatilities on Paragon GmbH and Paragon Care 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 Paragon GmbH with a short position of Paragon Care. Check out your portfolio center. Please also check ongoing floating volatility patterns of Paragon GmbH and Paragon Care.
Diversification Opportunities for Paragon GmbH and Paragon Care
-0.16 | Correlation Coefficient |
Good diversification
The 3 months correlation between Paragon and Paragon is -0.16. Overlapping area represents the amount of risk that can be diversified away by holding paragon GmbH Co and Paragon Care Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Paragon Care Limited and Paragon GmbH 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 paragon GmbH Co are associated (or correlated) with Paragon Care. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Paragon Care Limited has no effect on the direction of Paragon GmbH i.e., Paragon GmbH and Paragon Care go up and down completely randomly.
Pair Corralation between Paragon GmbH and Paragon Care
Assuming the 90 days trading horizon Paragon GmbH is expected to generate 2.76 times less return on investment than Paragon Care. In addition to that, Paragon GmbH is 1.88 times more volatile than Paragon Care Limited. It trades about 0.03 of its total potential returns per unit of risk. Paragon Care Limited is currently generating about 0.15 per unit of volatility. If you would invest 24.00 in Paragon Care Limited on October 6, 2024 and sell it today you would earn a total of 5.00 from holding Paragon Care Limited or generate 20.83% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
paragon GmbH Co vs. Paragon Care Limited
Performance |
Timeline |
paragon GmbH |
Paragon Care Limited |
Paragon GmbH and Paragon Care Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Paragon GmbH and Paragon Care
The main advantage of trading using opposite Paragon GmbH and Paragon Care positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Paragon GmbH position performs unexpectedly, Paragon Care 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 Paragon Care will offset losses from the drop in Paragon Care's long position.Paragon GmbH vs. GREENX METALS LTD | Paragon GmbH vs. ecotel communication ag | Paragon GmbH vs. ARDAGH METAL PACDL 0001 | Paragon GmbH vs. Zijin Mining Group |
Paragon Care vs. INSURANCE AUST GRP | Paragon Care vs. Direct Line Insurance | Paragon Care vs. Japan Post Insurance | Paragon Care vs. Cogent Communications Holdings |
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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