Correlation Between Bank Central and CardioComm Solutions
Can any of the company-specific risk be diversified away by investing in both Bank Central and CardioComm Solutions 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 Bank Central and CardioComm Solutions into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank Central Asia and CardioComm Solutions, you can compare the effects of market volatilities on Bank Central and CardioComm Solutions 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 Bank Central with a short position of CardioComm Solutions. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank Central and CardioComm Solutions.
Diversification Opportunities for Bank Central and CardioComm Solutions
0.36 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Bank and CardioComm is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding Bank Central Asia and CardioComm Solutions in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CardioComm Solutions and Bank Central 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 Bank Central Asia are associated (or correlated) with CardioComm Solutions. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CardioComm Solutions has no effect on the direction of Bank Central i.e., Bank Central and CardioComm Solutions go up and down completely randomly.
Pair Corralation between Bank Central and CardioComm Solutions
Assuming the 90 days horizon Bank Central Asia is expected to generate 0.3 times more return on investment than CardioComm Solutions. However, Bank Central Asia is 3.31 times less risky than CardioComm Solutions. It trades about -0.09 of its potential returns per unit of risk. CardioComm Solutions is currently generating about -0.06 per unit of risk. If you would invest 1,451 in Bank Central Asia on December 29, 2024 and sell it today you would lose (177.00) from holding Bank Central Asia or give up 12.2% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 95.31% |
Values | Daily Returns |
Bank Central Asia vs. CardioComm Solutions
Performance |
Timeline |
Bank Central Asia |
CardioComm Solutions |
Bank Central and CardioComm Solutions Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank Central and CardioComm Solutions
The main advantage of trading using opposite Bank Central and CardioComm Solutions positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank Central position performs unexpectedly, CardioComm Solutions 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 CardioComm Solutions will offset losses from the drop in CardioComm Solutions' long position.Bank Central vs. Nedbank Group | Bank Central vs. Standard Bank Group | Bank Central vs. Kasikornbank Public Co | Bank Central vs. KBC Groep NV |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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