Correlation Between PLAYTIKA HOLDING and BLUELINX HLDGS
Can any of the company-specific risk be diversified away by investing in both PLAYTIKA HOLDING and BLUELINX HLDGS 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 BLUELINX HLDGS 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 BLUELINX HLDGS DL 01, you can compare the effects of market volatilities on PLAYTIKA HOLDING and BLUELINX HLDGS 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 BLUELINX HLDGS. Check out your portfolio center. Please also check ongoing floating volatility patterns of PLAYTIKA HOLDING and BLUELINX HLDGS.
Diversification Opportunities for PLAYTIKA HOLDING and BLUELINX HLDGS
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between PLAYTIKA and BLUELINX is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding PLAYTIKA HOLDING DL 01 and BLUELINX HLDGS DL 01 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BLUELINX HLDGS DL 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 BLUELINX HLDGS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BLUELINX HLDGS DL has no effect on the direction of PLAYTIKA HOLDING i.e., PLAYTIKA HOLDING and BLUELINX HLDGS go up and down completely randomly.
Pair Corralation between PLAYTIKA HOLDING and BLUELINX HLDGS
Assuming the 90 days horizon PLAYTIKA HOLDING DL 01 is expected to generate 0.81 times more return on investment than BLUELINX HLDGS. However, PLAYTIKA HOLDING DL 01 is 1.24 times less risky than BLUELINX HLDGS. It trades about -0.02 of its potential returns per unit of risk. BLUELINX HLDGS DL 01 is currently generating about -0.03 per unit of risk. If you would invest 618.00 in PLAYTIKA HOLDING DL 01 on December 5, 2024 and sell it today you would lose (113.00) from holding PLAYTIKA HOLDING DL 01 or give up 18.28% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
PLAYTIKA HOLDING DL 01 vs. BLUELINX HLDGS DL 01
Performance |
Timeline |
PLAYTIKA HOLDING |
BLUELINX HLDGS DL |
PLAYTIKA HOLDING and BLUELINX HLDGS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PLAYTIKA HOLDING and BLUELINX HLDGS
The main advantage of trading using opposite PLAYTIKA HOLDING and BLUELINX HLDGS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PLAYTIKA HOLDING position performs unexpectedly, BLUELINX HLDGS 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 BLUELINX HLDGS will offset losses from the drop in BLUELINX HLDGS's long position.PLAYTIKA HOLDING vs. Yanzhou Coal Mining | PLAYTIKA HOLDING vs. Fair Value Reit | PLAYTIKA HOLDING vs. RYANAIR HLDGS ADR | PLAYTIKA HOLDING vs. MINCO SILVER |
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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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