Correlation Between Playmates Toys and PLAYTIKA HOLDING
Can any of the company-specific risk be diversified away by investing in both Playmates Toys 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 Playmates Toys and PLAYTIKA HOLDING into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Playmates Toys Limited and PLAYTIKA HOLDING DL 01, you can compare the effects of market volatilities on Playmates Toys 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 Playmates Toys with a short position of PLAYTIKA HOLDING. Check out your portfolio center. Please also check ongoing floating volatility patterns of Playmates Toys and PLAYTIKA HOLDING.
Diversification Opportunities for Playmates Toys and PLAYTIKA HOLDING
-0.37 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Playmates and PLAYTIKA is -0.37. Overlapping area represents the amount of risk that can be diversified away by holding Playmates Toys Limited 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 Playmates Toys 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 Playmates Toys Limited 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 Playmates Toys i.e., Playmates Toys and PLAYTIKA HOLDING go up and down completely randomly.
Pair Corralation between Playmates Toys and PLAYTIKA HOLDING
Assuming the 90 days horizon Playmates Toys Limited is expected to generate 3.65 times more return on investment than PLAYTIKA HOLDING. However, Playmates Toys is 3.65 times more volatile than PLAYTIKA HOLDING DL 01. It trades about 0.07 of its potential returns per unit of risk. PLAYTIKA HOLDING DL 01 is currently generating about 0.01 per unit of risk. If you would invest 2.91 in Playmates Toys Limited on October 10, 2024 and sell it today you would earn a total of 3.69 from holding Playmates Toys Limited or generate 126.8% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Playmates Toys Limited vs. PLAYTIKA HOLDING DL 01
Performance |
Timeline |
Playmates Toys |
PLAYTIKA HOLDING |
Playmates Toys and PLAYTIKA HOLDING Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Playmates Toys and PLAYTIKA HOLDING
The main advantage of trading using opposite Playmates Toys and PLAYTIKA HOLDING positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Playmates Toys 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.Playmates Toys vs. Japan Post Insurance | Playmates Toys vs. ZURICH INSURANCE GROUP | Playmates Toys vs. Reinsurance Group of | Playmates Toys vs. QBE Insurance Group |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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