Correlation Between SBI Insurance and COMINTL BANK
Can any of the company-specific risk be diversified away by investing in both SBI Insurance and COMINTL BANK 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 SBI Insurance and COMINTL BANK into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SBI Insurance Group and COMINTL BANK ADR1, you can compare the effects of market volatilities on SBI Insurance and COMINTL BANK 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 SBI Insurance with a short position of COMINTL BANK. Check out your portfolio center. Please also check ongoing floating volatility patterns of SBI Insurance and COMINTL BANK.
Diversification Opportunities for SBI Insurance and COMINTL BANK
0.39 | Correlation Coefficient |
Weak diversification
The 3 months correlation between SBI and COMINTL is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding SBI Insurance Group and COMINTL BANK ADR1 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on COMINTL BANK ADR1 and SBI Insurance 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 SBI Insurance Group are associated (or correlated) with COMINTL BANK. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of COMINTL BANK ADR1 has no effect on the direction of SBI Insurance i.e., SBI Insurance and COMINTL BANK go up and down completely randomly.
Pair Corralation between SBI Insurance and COMINTL BANK
Assuming the 90 days trading horizon SBI Insurance Group is expected to generate 0.56 times more return on investment than COMINTL BANK. However, SBI Insurance Group is 1.77 times less risky than COMINTL BANK. It trades about 0.3 of its potential returns per unit of risk. COMINTL BANK ADR1 is currently generating about 0.09 per unit of risk. If you would invest 545.00 in SBI Insurance Group on August 27, 2024 and sell it today you would earn a total of 50.00 from holding SBI Insurance Group or generate 9.17% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
SBI Insurance Group vs. COMINTL BANK ADR1
Performance |
| Timeline |
| SBI Insurance Group |
| COMINTL BANK ADR1 |
SBI Insurance and COMINTL BANK Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with SBI Insurance and COMINTL BANK
The main advantage of trading using opposite SBI Insurance and COMINTL BANK positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SBI Insurance position performs unexpectedly, COMINTL BANK 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 COMINTL BANK will offset losses from the drop in COMINTL BANK's long position.| SBI Insurance vs. Apple Inc | SBI Insurance vs. Apple Inc | SBI Insurance vs. Apple Inc | SBI Insurance vs. Apple Inc |
| COMINTL BANK vs. AWILCO DRILLING PLC | COMINTL BANK vs. Tradeweb Markets | COMINTL BANK vs. PRECISION DRILLING P | COMINTL BANK vs. Major Drilling Group |
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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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