Correlation Between Peabody Energy and PLAYTIKA HOLDING
Can any of the company-specific risk be diversified away by investing in both Peabody Energy 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 Peabody Energy and PLAYTIKA HOLDING into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Peabody Energy and PLAYTIKA HOLDING DL 01, you can compare the effects of market volatilities on Peabody Energy 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 Peabody Energy with a short position of PLAYTIKA HOLDING. Check out your portfolio center. Please also check ongoing floating volatility patterns of Peabody Energy and PLAYTIKA HOLDING.
Diversification Opportunities for Peabody Energy and PLAYTIKA HOLDING
0.33 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Peabody and PLAYTIKA is 0.33. Overlapping area represents the amount of risk that can be diversified away by holding Peabody Energy 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 Peabody Energy 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 Peabody Energy 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 Peabody Energy i.e., Peabody Energy and PLAYTIKA HOLDING go up and down completely randomly.
Pair Corralation between Peabody Energy and PLAYTIKA HOLDING
Assuming the 90 days horizon Peabody Energy is expected to generate 3.21 times less return on investment than PLAYTIKA HOLDING. In addition to that, Peabody Energy is 1.18 times more volatile than PLAYTIKA HOLDING DL 01. It trades about 0.04 of its total potential returns per unit of risk. PLAYTIKA HOLDING DL 01 is currently generating about 0.15 per unit of volatility. If you would invest 641.00 in PLAYTIKA HOLDING DL 01 on September 14, 2024 and sell it today you would earn a total of 139.00 from holding PLAYTIKA HOLDING DL 01 or generate 21.68% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Peabody Energy vs. PLAYTIKA HOLDING DL 01
Performance |
Timeline |
Peabody Energy |
PLAYTIKA HOLDING |
Peabody Energy and PLAYTIKA HOLDING Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Peabody Energy and PLAYTIKA HOLDING
The main advantage of trading using opposite Peabody Energy and PLAYTIKA HOLDING positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Peabody Energy 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.Peabody Energy vs. REVO INSURANCE SPA | Peabody Energy vs. Canadian Utilities Limited | Peabody Energy vs. Selective Insurance Group | Peabody Energy vs. MSAD INSURANCE |
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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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