Correlation Between BaoMinh Insurance and Binh Thanh
Can any of the company-specific risk be diversified away by investing in both BaoMinh Insurance and Binh Thanh 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 Binh Thanh 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 Binh Thanh Import, you can compare the effects of market volatilities on BaoMinh Insurance and Binh Thanh 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 Binh Thanh. Check out your portfolio center. Please also check ongoing floating volatility patterns of BaoMinh Insurance and Binh Thanh.
Diversification Opportunities for BaoMinh Insurance and Binh Thanh
0.54 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between BaoMinh and Binh is 0.54. Overlapping area represents the amount of risk that can be diversified away by holding BaoMinh Insurance Corp and Binh Thanh Import in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Binh Thanh Import 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 Binh Thanh. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Binh Thanh Import has no effect on the direction of BaoMinh Insurance i.e., BaoMinh Insurance and Binh Thanh go up and down completely randomly.
Pair Corralation between BaoMinh Insurance and Binh Thanh
Assuming the 90 days trading horizon BaoMinh Insurance is expected to generate 1.33 times less return on investment than Binh Thanh. But when comparing it to its historical volatility, BaoMinh Insurance Corp is 1.38 times less risky than Binh Thanh. It trades about 0.18 of its potential returns per unit of risk. Binh Thanh Import is currently generating about 0.18 of returns per unit of risk over similar time horizon. If you would invest 2,105,000 in Binh Thanh Import on September 22, 2024 and sell it today you would earn a total of 165,000 from holding Binh Thanh Import or generate 7.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
BaoMinh Insurance Corp vs. Binh Thanh Import
Performance |
Timeline |
BaoMinh Insurance Corp |
Binh Thanh Import |
BaoMinh Insurance and Binh Thanh Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BaoMinh Insurance and Binh Thanh
The main advantage of trading using opposite BaoMinh Insurance and Binh Thanh positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BaoMinh Insurance position performs unexpectedly, Binh Thanh 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 Binh Thanh will offset losses from the drop in Binh Thanh's long position.BaoMinh Insurance vs. FIT INVEST JSC | BaoMinh Insurance vs. Damsan JSC | BaoMinh Insurance vs. An Phat Plastic | BaoMinh Insurance vs. Alphanam ME |
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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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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