Correlation Between Binh Duong and Ducgiang Chemicals
Can any of the company-specific risk be diversified away by investing in both Binh Duong and Ducgiang Chemicals 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 Binh Duong and Ducgiang Chemicals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Binh Duong Trade and Ducgiang Chemicals Detergent, you can compare the effects of market volatilities on Binh Duong and Ducgiang Chemicals 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 Binh Duong with a short position of Ducgiang Chemicals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Binh Duong and Ducgiang Chemicals.
Diversification Opportunities for Binh Duong and Ducgiang Chemicals
0.6 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Binh and Ducgiang is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding Binh Duong Trade and Ducgiang Chemicals Detergent in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ducgiang Chemicals and Binh Duong 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 Binh Duong Trade are associated (or correlated) with Ducgiang Chemicals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ducgiang Chemicals has no effect on the direction of Binh Duong i.e., Binh Duong and Ducgiang Chemicals go up and down completely randomly.
Pair Corralation between Binh Duong and Ducgiang Chemicals
Assuming the 90 days trading horizon Binh Duong Trade is expected to generate 0.94 times more return on investment than Ducgiang Chemicals. However, Binh Duong Trade is 1.06 times less risky than Ducgiang Chemicals. It trades about 0.21 of its potential returns per unit of risk. Ducgiang Chemicals Detergent is currently generating about 0.06 per unit of risk. If you would invest 970,000 in Binh Duong Trade on October 3, 2024 and sell it today you would earn a total of 180,000 from holding Binh Duong Trade or generate 18.56% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Binh Duong Trade vs. Ducgiang Chemicals Detergent
Performance |
Timeline |
Binh Duong Trade |
Ducgiang Chemicals |
Binh Duong and Ducgiang Chemicals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Binh Duong and Ducgiang Chemicals
The main advantage of trading using opposite Binh Duong and Ducgiang Chemicals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Binh Duong position performs unexpectedly, Ducgiang Chemicals 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 Ducgiang Chemicals will offset losses from the drop in Ducgiang Chemicals' long position.Binh Duong vs. FIT INVEST JSC | Binh Duong vs. Damsan JSC | Binh Duong vs. An Phat Plastic | Binh Duong vs. APG Securities Joint |
Ducgiang Chemicals vs. FIT INVEST JSC | Ducgiang Chemicals vs. Damsan JSC | Ducgiang Chemicals vs. An Phat Plastic | Ducgiang Chemicals vs. APG Securities Joint |
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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