Correlation Between Lubelski Wegiel and PCF Group
Can any of the company-specific risk be diversified away by investing in both Lubelski Wegiel and PCF Group 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 Lubelski Wegiel and PCF Group into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lubelski Wegiel Bogdanka and PCF Group SA, you can compare the effects of market volatilities on Lubelski Wegiel and PCF Group 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 Lubelski Wegiel with a short position of PCF Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lubelski Wegiel and PCF Group.
Diversification Opportunities for Lubelski Wegiel and PCF Group
0.02 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Lubelski and PCF is 0.02. Overlapping area represents the amount of risk that can be diversified away by holding Lubelski Wegiel Bogdanka and PCF Group SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PCF Group SA and Lubelski Wegiel 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 Lubelski Wegiel Bogdanka are associated (or correlated) with PCF Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PCF Group SA has no effect on the direction of Lubelski Wegiel i.e., Lubelski Wegiel and PCF Group go up and down completely randomly.
Pair Corralation between Lubelski Wegiel and PCF Group
Assuming the 90 days trading horizon Lubelski Wegiel Bogdanka is expected to generate 0.43 times more return on investment than PCF Group. However, Lubelski Wegiel Bogdanka is 2.32 times less risky than PCF Group. It trades about 0.14 of its potential returns per unit of risk. PCF Group SA is currently generating about -0.16 per unit of risk. If you would invest 2,140 in Lubelski Wegiel Bogdanka on September 5, 2024 and sell it today you would earn a total of 150.00 from holding Lubelski Wegiel Bogdanka or generate 7.01% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Lubelski Wegiel Bogdanka vs. PCF Group SA
Performance |
| Timeline |
| Lubelski Wegiel Bogdanka |
| PCF Group SA |
Lubelski Wegiel and PCF Group Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Lubelski Wegiel and PCF Group
The main advantage of trading using opposite Lubelski Wegiel and PCF Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lubelski Wegiel position performs unexpectedly, PCF Group 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 PCF Group will offset losses from the drop in PCF Group's long position.| Lubelski Wegiel vs. Clean Carbon Energy | Lubelski Wegiel vs. Vercom SA | Lubelski Wegiel vs. CFI Holding SA | Lubelski Wegiel vs. Gobarto SA |
| PCF Group vs. Banco Santander SA | PCF Group vs. UniCredit SpA | PCF Group vs. CEZ as | PCF Group vs. Polski Koncern Naftowy |
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 AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.
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