Correlation Between Haleon PLC and PLAYTIKA HOLDING
Can any of the company-specific risk be diversified away by investing in both Haleon PLC and PLAYTIKA HOLDING 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 Haleon PLC and PLAYTIKA HOLDING into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Haleon PLC and PLAYTIKA HOLDING DL 01, you can compare the effects of market volatilities on Haleon PLC and PLAYTIKA HOLDING 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 Haleon PLC with a short position of PLAYTIKA HOLDING. Check out your portfolio center. Please also check ongoing floating volatility patterns of Haleon PLC and PLAYTIKA HOLDING.
Diversification Opportunities for Haleon PLC and PLAYTIKA HOLDING
-0.55 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Haleon and PLAYTIKA is -0.55. Overlapping area represents the amount of risk that can be diversified away by holding Haleon PLC and PLAYTIKA HOLDING DL 01 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PLAYTIKA HOLDING and Haleon PLC 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 Haleon PLC are associated (or correlated) with PLAYTIKA HOLDING. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PLAYTIKA HOLDING has no effect on the direction of Haleon PLC i.e., Haleon PLC and PLAYTIKA HOLDING go up and down completely randomly.
Pair Corralation between Haleon PLC and PLAYTIKA HOLDING
Assuming the 90 days horizon Haleon PLC is expected to generate 0.87 times more return on investment than PLAYTIKA HOLDING. However, Haleon PLC is 1.15 times less risky than PLAYTIKA HOLDING. It trades about 0.23 of its potential returns per unit of risk. PLAYTIKA HOLDING DL 01 is currently generating about -0.05 per unit of risk. If you would invest 835.00 in Haleon PLC on September 15, 2024 and sell it today you would earn a total of 60.00 from holding Haleon PLC or generate 7.19% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 95.65% |
| Values | Daily Returns |
Haleon PLC vs. PLAYTIKA HOLDING DL 01
Performance |
| Timeline |
| Haleon PLC |
| PLAYTIKA HOLDING |
Haleon PLC and PLAYTIKA HOLDING Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Haleon PLC and PLAYTIKA HOLDING
The main advantage of trading using opposite Haleon PLC and PLAYTIKA HOLDING positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Haleon PLC position performs unexpectedly, PLAYTIKA HOLDING 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 PLAYTIKA HOLDING will offset losses from the drop in PLAYTIKA HOLDING's long position.| Haleon PLC vs. PLAYTIKA HOLDING DL 01 | Haleon PLC vs. Sekisui Chemical Co | Haleon PLC vs. CHEMICAL INDUSTRIES | Haleon PLC vs. ZINC MEDIA GR |
| PLAYTIKA HOLDING vs. NEXON Co | PLAYTIKA HOLDING vs. Take Two Interactive Software | PLAYTIKA HOLDING vs. Superior Plus Corp | PLAYTIKA HOLDING vs. SIVERS SEMICONDUCTORS AB |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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