Correlation Between OVERSEA CHINUNSPADR2 and POSBO UNSPADRS20YC1
Can any of the company-specific risk be diversified away by investing in both OVERSEA CHINUNSPADR2 and POSBO UNSPADRS20YC1 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 OVERSEA CHINUNSPADR2 and POSBO UNSPADRS20YC1 into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between OVERSEA CHINUNSPADR2 and POSBO UNSPADRS20YC1, you can compare the effects of market volatilities on OVERSEA CHINUNSPADR2 and POSBO UNSPADRS20YC1 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 OVERSEA CHINUNSPADR2 with a short position of POSBO UNSPADRS20YC1. Check out your portfolio center. Please also check ongoing floating volatility patterns of OVERSEA CHINUNSPADR2 and POSBO UNSPADRS20YC1.
Diversification Opportunities for OVERSEA CHINUNSPADR2 and POSBO UNSPADRS20YC1
-0.18 | Correlation Coefficient |
Good diversification
The 3 months correlation between OVERSEA and POSBO is -0.18. Overlapping area represents the amount of risk that can be diversified away by holding OVERSEA CHINUNSPADR2 and POSBO UNSPADRS20YC1 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on POSBO UNSPADRS20YC1 and OVERSEA CHINUNSPADR2 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 OVERSEA CHINUNSPADR2 are associated (or correlated) with POSBO UNSPADRS20YC1. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of POSBO UNSPADRS20YC1 has no effect on the direction of OVERSEA CHINUNSPADR2 i.e., OVERSEA CHINUNSPADR2 and POSBO UNSPADRS20YC1 go up and down completely randomly.
Pair Corralation between OVERSEA CHINUNSPADR2 and POSBO UNSPADRS20YC1
Assuming the 90 days trading horizon OVERSEA CHINUNSPADR2 is expected to generate 1.25 times less return on investment than POSBO UNSPADRS20YC1. But when comparing it to its historical volatility, OVERSEA CHINUNSPADR2 is 1.93 times less risky than POSBO UNSPADRS20YC1. It trades about 0.11 of its potential returns per unit of risk. POSBO UNSPADRS20YC1 is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 711.00 in POSBO UNSPADRS20YC1 on September 21, 2024 and sell it today you would earn a total of 359.00 from holding POSBO UNSPADRS20YC1 or generate 50.49% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
OVERSEA CHINUNSPADR2 vs. POSBO UNSPADRS20YC1
Performance |
Timeline |
OVERSEA CHINUNSPADR2 |
POSBO UNSPADRS20YC1 |
OVERSEA CHINUNSPADR2 and POSBO UNSPADRS20YC1 Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with OVERSEA CHINUNSPADR2 and POSBO UNSPADRS20YC1
The main advantage of trading using opposite OVERSEA CHINUNSPADR2 and POSBO UNSPADRS20YC1 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if OVERSEA CHINUNSPADR2 position performs unexpectedly, POSBO UNSPADRS20YC1 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 POSBO UNSPADRS20YC1 will offset losses from the drop in POSBO UNSPADRS20YC1's long position.OVERSEA CHINUNSPADR2 vs. Avanos Medical | OVERSEA CHINUNSPADR2 vs. MEDICAL FACILITIES NEW | OVERSEA CHINUNSPADR2 vs. GigaMedia | OVERSEA CHINUNSPADR2 vs. Scientific Games |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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