Correlation Between CSSC Offshore and IBU Tec
Can any of the company-specific risk be diversified away by investing in both CSSC Offshore and IBU Tec 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 IBU Tec 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 IBU tec advanced materials, you can compare the effects of market volatilities on CSSC Offshore and IBU Tec 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 IBU Tec. Check out your portfolio center. Please also check ongoing floating volatility patterns of CSSC Offshore and IBU Tec.
Diversification Opportunities for CSSC Offshore and IBU Tec
0.38 | Correlation Coefficient |
Weak diversification
The 3 months correlation between CSSC and IBU is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding CSSC Offshore Marine and IBU tec advanced materials in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on IBU tec advanced 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 IBU Tec. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of IBU tec advanced has no effect on the direction of CSSC Offshore i.e., CSSC Offshore and IBU Tec go up and down completely randomly.
Pair Corralation between CSSC Offshore and IBU Tec
Assuming the 90 days trading horizon CSSC Offshore is expected to generate 48.67 times less return on investment than IBU Tec. But when comparing it to its historical volatility, CSSC Offshore Marine is 39.58 times less risky than IBU Tec. It trades about 0.13 of its potential returns per unit of risk. IBU tec advanced materials is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 582.00 in IBU tec advanced materials on April 21, 2025 and sell it today you would earn a total of 250.00 from holding IBU tec advanced materials or generate 42.96% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.44% |
Values | Daily Returns |
CSSC Offshore Marine vs. IBU tec advanced materials
Performance |
Timeline |
CSSC Offshore Marine |
IBU tec advanced |
CSSC Offshore and IBU Tec Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CSSC Offshore and IBU Tec
The main advantage of trading using opposite CSSC Offshore and IBU Tec positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CSSC Offshore position performs unexpectedly, IBU Tec 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 IBU Tec will offset losses from the drop in IBU Tec's long position.CSSC Offshore vs. CVR Medical Corp | CSSC Offshore vs. JD SPORTS FASH | CSSC Offshore vs. GERATHERM MEDICAL | CSSC Offshore vs. Columbia Sportswear |
IBU Tec vs. Yanzhou Coal Mining | IBU Tec vs. Zijin Mining Group | IBU Tec vs. InterContinental Hotels Group | IBU Tec vs. BRAEMAR HOTELS RES |
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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