Correlation Between PLAY2CHILL and MetLife
Can any of the company-specific risk be diversified away by investing in both PLAY2CHILL and MetLife 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 PLAY2CHILL and MetLife into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PLAY2CHILL SA ZY and MetLife, you can compare the effects of market volatilities on PLAY2CHILL and MetLife 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 PLAY2CHILL with a short position of MetLife. Check out your portfolio center. Please also check ongoing floating volatility patterns of PLAY2CHILL and MetLife.
Diversification Opportunities for PLAY2CHILL and MetLife
0.32 | Correlation Coefficient |
Weak diversification
The 3 months correlation between PLAY2CHILL and MetLife is 0.32. Overlapping area represents the amount of risk that can be diversified away by holding PLAY2CHILL SA ZY and MetLife in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MetLife and PLAY2CHILL 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 PLAY2CHILL SA ZY are associated (or correlated) with MetLife. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MetLife has no effect on the direction of PLAY2CHILL i.e., PLAY2CHILL and MetLife go up and down completely randomly.
Pair Corralation between PLAY2CHILL and MetLife
Assuming the 90 days horizon PLAY2CHILL SA ZY is expected to under-perform the MetLife. In addition to that, PLAY2CHILL is 1.77 times more volatile than MetLife. It trades about -0.13 of its total potential returns per unit of risk. MetLife is currently generating about 0.0 per unit of volatility. If you would invest 7,888 in MetLife on December 28, 2024 and sell it today you would lose (97.00) from holding MetLife or give up 1.23% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.41% |
Values | Daily Returns |
PLAY2CHILL SA ZY vs. MetLife
Performance |
Timeline |
PLAY2CHILL SA ZY |
MetLife |
PLAY2CHILL and MetLife Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PLAY2CHILL and MetLife
The main advantage of trading using opposite PLAY2CHILL and MetLife positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PLAY2CHILL position performs unexpectedly, MetLife 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 MetLife will offset losses from the drop in MetLife's long position.The idea behind PLAY2CHILL SA ZY and MetLife pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.MetLife vs. Ping An Insurance | MetLife vs. AIA Group Limited | MetLife vs. China Life Insurance | MetLife vs. Prudential plc |
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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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