Correlation Between Alphanam and BaoMinh Insurance
Can any of the company-specific risk be diversified away by investing in both Alphanam and BaoMinh Insurance 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 Alphanam and BaoMinh Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Alphanam ME and BaoMinh Insurance Corp, you can compare the effects of market volatilities on Alphanam and BaoMinh Insurance 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 Alphanam with a short position of BaoMinh Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Alphanam and BaoMinh Insurance.
Diversification Opportunities for Alphanam and BaoMinh Insurance
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Alphanam and BaoMinh is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding Alphanam ME and BaoMinh Insurance Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BaoMinh Insurance Corp and Alphanam 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 Alphanam ME are associated (or correlated) with BaoMinh Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BaoMinh Insurance Corp has no effect on the direction of Alphanam i.e., Alphanam and BaoMinh Insurance go up and down completely randomly.
Pair Corralation between Alphanam and BaoMinh Insurance
Assuming the 90 days trading horizon Alphanam ME is expected to under-perform the BaoMinh Insurance. In addition to that, Alphanam is 1.56 times more volatile than BaoMinh Insurance Corp. It trades about -0.21 of its total potential returns per unit of risk. BaoMinh Insurance Corp is currently generating about -0.07 per unit of volatility. If you would invest 2,285,000 in BaoMinh Insurance Corp on September 13, 2024 and sell it today you would lose (200,000) from holding BaoMinh Insurance Corp or give up 8.75% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 52.31% |
Values | Daily Returns |
Alphanam ME vs. BaoMinh Insurance Corp
Performance |
Timeline |
Alphanam ME |
BaoMinh Insurance Corp |
Alphanam and BaoMinh Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Alphanam and BaoMinh Insurance
The main advantage of trading using opposite Alphanam and BaoMinh Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alphanam position performs unexpectedly, BaoMinh Insurance 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 BaoMinh Insurance will offset losses from the drop in BaoMinh Insurance's long position.Alphanam vs. FIT INVEST JSC | Alphanam vs. Damsan JSC | Alphanam vs. An Phat Plastic | Alphanam vs. APG Securities Joint |
BaoMinh Insurance vs. FIT INVEST JSC | BaoMinh Insurance vs. Damsan JSC | BaoMinh Insurance vs. An Phat Plastic | BaoMinh Insurance vs. Alphanam ME |
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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
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