Correlation Between BaoMinh Insurance and Mobile World
Can any of the company-specific risk be diversified away by investing in both BaoMinh Insurance and Mobile World 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 BaoMinh Insurance and Mobile World into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BaoMinh Insurance Corp and Mobile World Investment, you can compare the effects of market volatilities on BaoMinh Insurance and Mobile World 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 BaoMinh Insurance with a short position of Mobile World. Check out your portfolio center. Please also check ongoing floating volatility patterns of BaoMinh Insurance and Mobile World.
Diversification Opportunities for BaoMinh Insurance and Mobile World
0.37 | Correlation Coefficient |
Weak diversification
The 3 months correlation between BaoMinh and Mobile is 0.37. Overlapping area represents the amount of risk that can be diversified away by holding BaoMinh Insurance Corp and Mobile World Investment in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mobile World Investment and BaoMinh 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 BaoMinh Insurance Corp are associated (or correlated) with Mobile World. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mobile World Investment has no effect on the direction of BaoMinh Insurance i.e., BaoMinh Insurance and Mobile World go up and down completely randomly.
Pair Corralation between BaoMinh Insurance and Mobile World
Assuming the 90 days trading horizon BaoMinh Insurance Corp is expected to generate 1.03 times more return on investment than Mobile World. However, BaoMinh Insurance is 1.03 times more volatile than Mobile World Investment. It trades about 0.0 of its potential returns per unit of risk. Mobile World Investment is currently generating about -0.14 per unit of risk. If you would invest 2,065,000 in BaoMinh Insurance Corp on October 22, 2024 and sell it today you would lose (15,000) from holding BaoMinh Insurance Corp or give up 0.73% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
BaoMinh Insurance Corp vs. Mobile World Investment
Performance |
Timeline |
BaoMinh Insurance Corp |
Mobile World Investment |
BaoMinh Insurance and Mobile World Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BaoMinh Insurance and Mobile World
The main advantage of trading using opposite BaoMinh Insurance and Mobile World positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BaoMinh Insurance position performs unexpectedly, Mobile World 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 Mobile World will offset losses from the drop in Mobile World's long position.BaoMinh Insurance vs. IDJ FINANCIAL | BaoMinh Insurance vs. Century Synthetic Fiber | BaoMinh Insurance vs. Petrolimex Insurance Corp | BaoMinh Insurance vs. Tienlen Steel Corp |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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