Correlation Between Lumen Technologies, and Paranapanema
Can any of the company-specific risk be diversified away by investing in both Lumen Technologies, and Paranapanema 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 Lumen Technologies, and Paranapanema into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lumen Technologies, and Paranapanema SA, you can compare the effects of market volatilities on Lumen Technologies, and Paranapanema 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 Lumen Technologies, with a short position of Paranapanema. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lumen Technologies, and Paranapanema.
Diversification Opportunities for Lumen Technologies, and Paranapanema
-0.56 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Lumen and Paranapanema is -0.56. Overlapping area represents the amount of risk that can be diversified away by holding Lumen Technologies, and Paranapanema SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Paranapanema SA and Lumen Technologies, 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 Lumen Technologies, are associated (or correlated) with Paranapanema. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Paranapanema SA has no effect on the direction of Lumen Technologies, i.e., Lumen Technologies, and Paranapanema go up and down completely randomly.
Pair Corralation between Lumen Technologies, and Paranapanema
Assuming the 90 days trading horizon Lumen Technologies, is expected to generate 1.19 times more return on investment than Paranapanema. However, Lumen Technologies, is 1.19 times more volatile than Paranapanema SA. It trades about 0.12 of its potential returns per unit of risk. Paranapanema SA is currently generating about -0.09 per unit of risk. If you would invest 1,871 in Lumen Technologies, on April 23, 2025 and sell it today you would earn a total of 523.00 from holding Lumen Technologies, or generate 27.95% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 98.41% |
Values | Daily Returns |
Lumen Technologies, vs. Paranapanema SA
Performance |
Timeline |
Lumen Technologies, |
Paranapanema SA |
Lumen Technologies, and Paranapanema Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lumen Technologies, and Paranapanema
The main advantage of trading using opposite Lumen Technologies, and Paranapanema positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lumen Technologies, position performs unexpectedly, Paranapanema 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 Paranapanema will offset losses from the drop in Paranapanema's long position.Lumen Technologies, vs. Metalurgica Gerdau SA | Lumen Technologies, vs. MAHLE Metal Leve | Lumen Technologies, vs. Micron Technology | Lumen Technologies, vs. Omega Healthcare Investors, |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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