Correlation Between CSSC Offshore and Samsung Electronics
Can any of the company-specific risk be diversified away by investing in both CSSC Offshore and Samsung Electronics 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 Samsung Electronics 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 Samsung Electronics Co, you can compare the effects of market volatilities on CSSC Offshore and Samsung Electronics 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 Samsung Electronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of CSSC Offshore and Samsung Electronics.
Diversification Opportunities for CSSC Offshore and Samsung Electronics
0.53 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between CSSC and Samsung is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding CSSC Offshore Marine and Samsung Electronics Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samsung Electronics 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 Samsung Electronics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Samsung Electronics has no effect on the direction of CSSC Offshore i.e., CSSC Offshore and Samsung Electronics go up and down completely randomly.
Pair Corralation between CSSC Offshore and Samsung Electronics
Assuming the 90 days trading horizon CSSC Offshore Marine is expected to under-perform the Samsung Electronics. In addition to that, CSSC Offshore is 1.45 times more volatile than Samsung Electronics Co. It trades about -0.07 of its total potential returns per unit of risk. Samsung Electronics Co is currently generating about -0.09 per unit of volatility. If you would invest 89,967 in Samsung Electronics Co on September 14, 2024 and sell it today you would lose (12,167) from holding Samsung Electronics Co or give up 13.52% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
CSSC Offshore Marine vs. Samsung Electronics Co
Performance |
Timeline |
CSSC Offshore Marine |
Samsung Electronics |
CSSC Offshore and Samsung Electronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CSSC Offshore and Samsung Electronics
The main advantage of trading using opposite CSSC Offshore and Samsung Electronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CSSC Offshore position performs unexpectedly, Samsung Electronics 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 Samsung Electronics will offset losses from the drop in Samsung Electronics' 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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
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