Correlation Between Partner Communications and ELF Beauty
Can any of the company-specific risk be diversified away by investing in both Partner Communications and ELF Beauty 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 Partner Communications and ELF Beauty into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Partner Communications and ELF Beauty, you can compare the effects of market volatilities on Partner Communications and ELF Beauty 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 Partner Communications with a short position of ELF Beauty. Check out your portfolio center. Please also check ongoing floating volatility patterns of Partner Communications and ELF Beauty.
Diversification Opportunities for Partner Communications and ELF Beauty
-0.51 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Partner and ELF is -0.51. Overlapping area represents the amount of risk that can be diversified away by holding Partner Communications and ELF Beauty in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ELF Beauty and Partner Communications 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 Partner Communications are associated (or correlated) with ELF Beauty. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ELF Beauty has no effect on the direction of Partner Communications i.e., Partner Communications and ELF Beauty go up and down completely randomly.
Pair Corralation between Partner Communications and ELF Beauty
Assuming the 90 days horizon Partner Communications is expected to generate 1.3 times more return on investment than ELF Beauty. However, Partner Communications is 1.3 times more volatile than ELF Beauty. It trades about 0.12 of its potential returns per unit of risk. ELF Beauty is currently generating about -0.22 per unit of risk. If you would invest 498.00 in Partner Communications on December 27, 2024 and sell it today you would earn a total of 204.00 from holding Partner Communications or generate 40.96% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 98.36% |
Values | Daily Returns |
Partner Communications vs. ELF Beauty
Performance |
Timeline |
Partner Communications |
ELF Beauty |
Partner Communications and ELF Beauty Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Partner Communications and ELF Beauty
The main advantage of trading using opposite Partner Communications and ELF Beauty positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Partner Communications position performs unexpectedly, ELF Beauty 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 ELF Beauty will offset losses from the drop in ELF Beauty's long position.Partner Communications vs. Zijin Mining Group | Partner Communications vs. Chester Mining | Partner Communications vs. Kuya Silver | Partner Communications vs. Paiute Oil Mining |
ELF Beauty vs. Procter Gamble | ELF Beauty vs. Colgate Palmolive | ELF Beauty vs. Coty Inc | ELF Beauty vs. Kenvue Inc |
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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