Correlation Between PLAYTIKA HOLDING and UNITED RENTALS
Can any of the company-specific risk be diversified away by investing in both PLAYTIKA HOLDING and UNITED RENTALS 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 PLAYTIKA HOLDING and UNITED RENTALS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PLAYTIKA HOLDING DL 01 and UNITED RENTALS, you can compare the effects of market volatilities on PLAYTIKA HOLDING and UNITED RENTALS 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 PLAYTIKA HOLDING with a short position of UNITED RENTALS. Check out your portfolio center. Please also check ongoing floating volatility patterns of PLAYTIKA HOLDING and UNITED RENTALS.
Diversification Opportunities for PLAYTIKA HOLDING and UNITED RENTALS
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between PLAYTIKA and UNITED is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding PLAYTIKA HOLDING DL 01 and UNITED RENTALS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on UNITED RENTALS and PLAYTIKA HOLDING 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 PLAYTIKA HOLDING DL 01 are associated (or correlated) with UNITED RENTALS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of UNITED RENTALS has no effect on the direction of PLAYTIKA HOLDING i.e., PLAYTIKA HOLDING and UNITED RENTALS go up and down completely randomly.
Pair Corralation between PLAYTIKA HOLDING and UNITED RENTALS
Assuming the 90 days horizon PLAYTIKA HOLDING is expected to generate 1.16 times less return on investment than UNITED RENTALS. In addition to that, PLAYTIKA HOLDING is 1.05 times more volatile than UNITED RENTALS. It trades about 0.13 of its total potential returns per unit of risk. UNITED RENTALS is currently generating about 0.16 per unit of volatility. If you would invest 66,407 in UNITED RENTALS on September 3, 2024 and sell it today you would earn a total of 14,313 from holding UNITED RENTALS or generate 21.55% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
PLAYTIKA HOLDING DL 01 vs. UNITED RENTALS
Performance |
Timeline |
PLAYTIKA HOLDING |
UNITED RENTALS |
PLAYTIKA HOLDING and UNITED RENTALS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PLAYTIKA HOLDING and UNITED RENTALS
The main advantage of trading using opposite PLAYTIKA HOLDING and UNITED RENTALS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PLAYTIKA HOLDING position performs unexpectedly, UNITED RENTALS 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 UNITED RENTALS will offset losses from the drop in UNITED RENTALS's long position.PLAYTIKA HOLDING vs. HK Electric Investments | PLAYTIKA HOLDING vs. REGAL ASIAN INVESTMENTS | PLAYTIKA HOLDING vs. China Resources Beer | PLAYTIKA HOLDING vs. Japan Asia Investment |
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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