Correlation Between Bentre Aquaproduct and Khang Dien
Can any of the company-specific risk be diversified away by investing in both Bentre Aquaproduct and Khang Dien 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 Bentre Aquaproduct and Khang Dien into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bentre Aquaproduct Import and Khang Dien House, you can compare the effects of market volatilities on Bentre Aquaproduct and Khang Dien 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 Bentre Aquaproduct with a short position of Khang Dien. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bentre Aquaproduct and Khang Dien.
Diversification Opportunities for Bentre Aquaproduct and Khang Dien
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Bentre and Khang is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding Bentre Aquaproduct Import and Khang Dien House in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Khang Dien House and Bentre Aquaproduct 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 Bentre Aquaproduct Import are associated (or correlated) with Khang Dien. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Khang Dien House has no effect on the direction of Bentre Aquaproduct i.e., Bentre Aquaproduct and Khang Dien go up and down completely randomly.
Pair Corralation between Bentre Aquaproduct and Khang Dien
Assuming the 90 days trading horizon Bentre Aquaproduct is expected to generate 21.66 times less return on investment than Khang Dien. In addition to that, Bentre Aquaproduct is 1.32 times more volatile than Khang Dien House. It trades about 0.02 of its total potential returns per unit of risk. Khang Dien House is currently generating about 0.58 per unit of volatility. If you would invest 3,280,000 in Khang Dien House on September 26, 2024 and sell it today you would earn a total of 315,000 from holding Khang Dien House or generate 9.6% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 77.27% |
Values | Daily Returns |
Bentre Aquaproduct Import vs. Khang Dien House
Performance |
Timeline |
Bentre Aquaproduct Import |
Khang Dien House |
Bentre Aquaproduct and Khang Dien Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bentre Aquaproduct and Khang Dien
The main advantage of trading using opposite Bentre Aquaproduct and Khang Dien positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bentre Aquaproduct position performs unexpectedly, Khang Dien 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 Khang Dien will offset losses from the drop in Khang Dien's long position.Bentre Aquaproduct vs. FIT INVEST JSC | Bentre Aquaproduct vs. Damsan JSC | Bentre Aquaproduct vs. An Phat Plastic | Bentre Aquaproduct vs. Alphanam ME |
Khang Dien vs. FIT INVEST JSC | Khang Dien vs. Damsan JSC | Khang Dien vs. An Phat Plastic | Khang Dien 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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