Correlation Between COMINTL BANK and SBM OFFSHORE
Can any of the company-specific risk be diversified away by investing in both COMINTL BANK and SBM 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 COMINTL BANK and SBM OFFSHORE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between COMINTL BANK ADR1 and SBM OFFSHORE, you can compare the effects of market volatilities on COMINTL BANK and SBM 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 COMINTL BANK with a short position of SBM OFFSHORE. Check out your portfolio center. Please also check ongoing floating volatility patterns of COMINTL BANK and SBM OFFSHORE.
Diversification Opportunities for COMINTL BANK and SBM OFFSHORE
0.07 | Correlation Coefficient |
Significant diversification
The 3 months correlation between COMINTL and SBM is 0.07. Overlapping area represents the amount of risk that can be diversified away by holding COMINTL BANK ADR1 and SBM OFFSHORE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SBM OFFSHORE and COMINTL BANK 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 COMINTL BANK ADR1 are associated (or correlated) with SBM OFFSHORE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SBM OFFSHORE has no effect on the direction of COMINTL BANK i.e., COMINTL BANK and SBM OFFSHORE go up and down completely randomly.
Pair Corralation between COMINTL BANK and SBM OFFSHORE
Assuming the 90 days trading horizon COMINTL BANK ADR1 is expected to generate 1.34 times more return on investment than SBM OFFSHORE. However, COMINTL BANK is 1.34 times more volatile than SBM OFFSHORE. It trades about 0.05 of its potential returns per unit of risk. SBM OFFSHORE is currently generating about 0.03 per unit of risk. If you would invest 124.00 in COMINTL BANK ADR1 on October 6, 2024 and sell it today you would earn a total of 4.00 from holding COMINTL BANK ADR1 or generate 3.23% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
COMINTL BANK ADR1 vs. SBM OFFSHORE
Performance |
Timeline |
COMINTL BANK ADR1 |
SBM OFFSHORE |
COMINTL BANK and SBM OFFSHORE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with COMINTL BANK and SBM OFFSHORE
The main advantage of trading using opposite COMINTL BANK and SBM OFFSHORE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if COMINTL BANK position performs unexpectedly, SBM 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 SBM OFFSHORE will offset losses from the drop in SBM OFFSHORE's long position.COMINTL BANK vs. X FAB Silicon Foundries | COMINTL BANK vs. NAKED WINES PLC | COMINTL BANK vs. VIVA WINE GROUP | COMINTL BANK vs. SMA Solar Technology |
SBM OFFSHORE vs. HAVERTY FURNITURE A | SBM OFFSHORE vs. HomeToGo SE | SBM OFFSHORE vs. Focus Home Interactive | SBM OFFSHORE vs. Chunghwa Telecom Co |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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