Correlation Between Binh Duong and Atesco Industrial
Can any of the company-specific risk be diversified away by investing in both Binh Duong and Atesco Industrial 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 Atesco Industrial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Binh Duong Construction and Atesco Industrial Cartering, you can compare the effects of market volatilities on Binh Duong and Atesco Industrial 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 Atesco Industrial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Binh Duong and Atesco Industrial.
Diversification Opportunities for Binh Duong and Atesco Industrial
-0.63 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Binh and Atesco is -0.63. Overlapping area represents the amount of risk that can be diversified away by holding Binh Duong Construction and Atesco Industrial Cartering in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Atesco Industrial 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 Construction are associated (or correlated) with Atesco Industrial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Atesco Industrial has no effect on the direction of Binh Duong i.e., Binh Duong and Atesco Industrial go up and down completely randomly.
Pair Corralation between Binh Duong and Atesco Industrial
Assuming the 90 days trading horizon Binh Duong is expected to generate 2.32 times less return on investment than Atesco Industrial. But when comparing it to its historical volatility, Binh Duong Construction is 4.11 times less risky than Atesco Industrial. It trades about 0.06 of its potential returns per unit of risk. Atesco Industrial Cartering is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 1,200,000 in Atesco Industrial Cartering on October 30, 2024 and sell it today you would earn a total of 20,000 from holding Atesco Industrial Cartering or generate 1.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 43.15% |
Values | Daily Returns |
Binh Duong Construction vs. Atesco Industrial Cartering
Performance |
Timeline |
Binh Duong Construction |
Atesco Industrial |
Binh Duong and Atesco Industrial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Binh Duong and Atesco Industrial
The main advantage of trading using opposite Binh Duong and Atesco Industrial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Binh Duong position performs unexpectedly, Atesco Industrial 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 Atesco Industrial will offset losses from the drop in Atesco Industrial's long position.Binh Duong vs. Nafoods Group JSC | Binh Duong vs. Hochiminh City Metal | Binh Duong vs. PostTelecommunication Equipment | Binh Duong vs. VietinBank Securities JSC |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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