Correlation Between CSSC Offshore and Uni President
Can any of the company-specific risk be diversified away by investing in both CSSC Offshore and Uni President 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 CSSC Offshore and Uni President into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CSSC Offshore Marine and Uni President China Holdings, you can compare the effects of market volatilities on CSSC Offshore and Uni President 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 CSSC Offshore with a short position of Uni President. Check out your portfolio center. Please also check ongoing floating volatility patterns of CSSC Offshore and Uni President.
Diversification Opportunities for CSSC Offshore and Uni President
0.01 | Correlation Coefficient |
Significant diversification
The 3 months correlation between CSSC and Uni is 0.01. Overlapping area represents the amount of risk that can be diversified away by holding CSSC Offshore Marine and Uni President China Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Uni President China and CSSC Offshore 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 CSSC Offshore Marine are associated (or correlated) with Uni President. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Uni President China has no effect on the direction of CSSC Offshore i.e., CSSC Offshore and Uni President go up and down completely randomly.
Pair Corralation between CSSC Offshore and Uni President
Assuming the 90 days trading horizon CSSC Offshore is expected to generate 2.41 times less return on investment than Uni President. But when comparing it to its historical volatility, CSSC Offshore Marine is 3.6 times less risky than Uni President. It trades about 0.25 of its potential returns per unit of risk. Uni President China Holdings is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest 74.00 in Uni President China Holdings on September 30, 2024 and sell it today you would earn a total of 16.00 from holding Uni President China Holdings or generate 21.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
CSSC Offshore Marine vs. Uni President China Holdings
Performance |
Timeline |
CSSC Offshore Marine |
Uni President China |
CSSC Offshore and Uni President Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CSSC Offshore and Uni President
The main advantage of trading using opposite CSSC Offshore and Uni President positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CSSC Offshore position performs unexpectedly, Uni President 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 Uni President will offset losses from the drop in Uni President's long position.CSSC Offshore vs. Apple Inc | CSSC Offshore vs. Apple Inc | CSSC Offshore vs. Apple Inc | CSSC Offshore vs. Apple Inc |
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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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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