Correlation Between PLAYTIKA HOLDING and Nib Holdings
Can any of the company-specific risk be diversified away by investing in both PLAYTIKA HOLDING and Nib Holdings 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 Nib Holdings 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 nib holdings limited, you can compare the effects of market volatilities on PLAYTIKA HOLDING and Nib Holdings 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 Nib Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of PLAYTIKA HOLDING and Nib Holdings.
Diversification Opportunities for PLAYTIKA HOLDING and Nib Holdings
0.22 | Correlation Coefficient |
Modest diversification
The 3 months correlation between PLAYTIKA and Nib is 0.22. Overlapping area represents the amount of risk that can be diversified away by holding PLAYTIKA HOLDING DL 01 and nib holdings limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on nib holdings limited 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 Nib Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of nib holdings limited has no effect on the direction of PLAYTIKA HOLDING i.e., PLAYTIKA HOLDING and Nib Holdings go up and down completely randomly.
Pair Corralation between PLAYTIKA HOLDING and Nib Holdings
Assuming the 90 days horizon PLAYTIKA HOLDING DL 01 is expected to generate 1.31 times more return on investment than Nib Holdings. However, PLAYTIKA HOLDING is 1.31 times more volatile than nib holdings limited. It trades about 0.09 of its potential returns per unit of risk. nib holdings limited is currently generating about 0.06 per unit of risk. If you would invest 650.00 in PLAYTIKA HOLDING DL 01 on October 23, 2024 and sell it today you would earn a total of 15.00 from holding PLAYTIKA HOLDING DL 01 or generate 2.31% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
PLAYTIKA HOLDING DL 01 vs. nib holdings limited
Performance |
Timeline |
PLAYTIKA HOLDING |
nib holdings limited |
PLAYTIKA HOLDING and Nib Holdings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PLAYTIKA HOLDING and Nib Holdings
The main advantage of trading using opposite PLAYTIKA HOLDING and Nib Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PLAYTIKA HOLDING position performs unexpectedly, Nib Holdings 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 Nib Holdings will offset losses from the drop in Nib Holdings' long position.PLAYTIKA HOLDING vs. THRACE PLASTICS | PLAYTIKA HOLDING vs. RCS MediaGroup SpA | PLAYTIKA HOLDING vs. Live Nation Entertainment | PLAYTIKA HOLDING vs. Materialise NV |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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