Correlation Between PLAYTIKA HOLDING and Bank of America
Can any of the company-specific risk be diversified away by investing in both PLAYTIKA HOLDING and Bank of America 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 Bank of America 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 Bank of America, you can compare the effects of market volatilities on PLAYTIKA HOLDING and Bank of America 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 Bank of America. Check out your portfolio center. Please also check ongoing floating volatility patterns of PLAYTIKA HOLDING and Bank of America.
Diversification Opportunities for PLAYTIKA HOLDING and Bank of America
0.91 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between PLAYTIKA and Bank is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding PLAYTIKA HOLDING DL 01 and Bank of America in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank of America 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 Bank of America. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank of America has no effect on the direction of PLAYTIKA HOLDING i.e., PLAYTIKA HOLDING and Bank of America go up and down completely randomly.
Pair Corralation between PLAYTIKA HOLDING and Bank of America
Assuming the 90 days horizon PLAYTIKA HOLDING is expected to generate 1.4 times less return on investment than Bank of America. In addition to that, PLAYTIKA HOLDING is 1.21 times more volatile than Bank of America. It trades about 0.11 of its total potential returns per unit of risk. Bank of America is currently generating about 0.19 per unit of volatility. If you would invest 3,552 in Bank of America on September 17, 2024 and sell it today you would earn a total of 801.00 from holding Bank of America or generate 22.55% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
PLAYTIKA HOLDING DL 01 vs. Bank of America
Performance |
Timeline |
PLAYTIKA HOLDING |
Bank of America |
PLAYTIKA HOLDING and Bank of America Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PLAYTIKA HOLDING and Bank of America
The main advantage of trading using opposite PLAYTIKA HOLDING and Bank of America positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PLAYTIKA HOLDING position performs unexpectedly, Bank of America 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 Bank of America will offset losses from the drop in Bank of America's long position.PLAYTIKA HOLDING vs. NEXON Co | PLAYTIKA HOLDING vs. Take Two Interactive Software | PLAYTIKA HOLDING vs. Superior Plus Corp | PLAYTIKA HOLDING vs. SIVERS SEMICONDUCTORS AB |
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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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