Correlation Between CSSC Offshore and SIEM OFFSHORE
Can any of the company-specific risk be diversified away by investing in both CSSC Offshore and SIEM OFFSHORE 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 SIEM OFFSHORE 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 SIEM OFFSHORE NEW, you can compare the effects of market volatilities on CSSC Offshore and SIEM OFFSHORE 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 SIEM OFFSHORE. Check out your portfolio center. Please also check ongoing floating volatility patterns of CSSC Offshore and SIEM OFFSHORE.
Diversification Opportunities for CSSC Offshore and SIEM OFFSHORE
0.37 | Correlation Coefficient |
Weak diversification
The 3 months correlation between CSSC and SIEM is 0.37. Overlapping area represents the amount of risk that can be diversified away by holding CSSC Offshore Marine and SIEM OFFSHORE NEW in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SIEM OFFSHORE NEW 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 SIEM OFFSHORE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SIEM OFFSHORE NEW has no effect on the direction of CSSC Offshore i.e., CSSC Offshore and SIEM OFFSHORE go up and down completely randomly.
Pair Corralation between CSSC Offshore and SIEM OFFSHORE
Assuming the 90 days trading horizon CSSC Offshore Marine is expected to under-perform the SIEM OFFSHORE. In addition to that, CSSC Offshore is 1.14 times more volatile than SIEM OFFSHORE NEW. It trades about -0.15 of its total potential returns per unit of risk. SIEM OFFSHORE NEW is currently generating about 0.36 per unit of volatility. If you would invest 212.00 in SIEM OFFSHORE NEW on August 26, 2024 and sell it today you would earn a total of 44.00 from holding SIEM OFFSHORE NEW or generate 20.75% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
CSSC Offshore Marine vs. SIEM OFFSHORE NEW
Performance |
| Timeline |
| CSSC Offshore Marine |
| SIEM OFFSHORE NEW |
CSSC Offshore and SIEM OFFSHORE Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with CSSC Offshore and SIEM OFFSHORE
The main advantage of trading using opposite CSSC Offshore and SIEM OFFSHORE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CSSC Offshore position performs unexpectedly, SIEM OFFSHORE 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 SIEM OFFSHORE will offset losses from the drop in SIEM OFFSHORE's long position.| CSSC Offshore vs. Apple Inc | CSSC Offshore vs. Apple Inc | CSSC Offshore vs. Apple Inc | CSSC Offshore vs. Apple Inc |
| SIEM OFFSHORE vs. COLUMBIA SPORTSWEAR | SIEM OFFSHORE vs. USWE SPORTS AB | SIEM OFFSHORE vs. PLAY2CHILL SA ZY | SIEM OFFSHORE vs. Retail Estates NV |
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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