Correlation Between Binh Minh and Picomat Plastic
Can any of the company-specific risk be diversified away by investing in both Binh Minh and Picomat Plastic 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 Minh and Picomat Plastic into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Binh Minh Plastics and Picomat Plastic JSC, you can compare the effects of market volatilities on Binh Minh and Picomat Plastic 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 Minh with a short position of Picomat Plastic. Check out your portfolio center. Please also check ongoing floating volatility patterns of Binh Minh and Picomat Plastic.
Diversification Opportunities for Binh Minh and Picomat Plastic
0.05 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Binh and Picomat is 0.05. Overlapping area represents the amount of risk that can be diversified away by holding Binh Minh Plastics and Picomat Plastic JSC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Picomat Plastic JSC and Binh Minh 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 Minh Plastics are associated (or correlated) with Picomat Plastic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Picomat Plastic JSC has no effect on the direction of Binh Minh i.e., Binh Minh and Picomat Plastic go up and down completely randomly.
Pair Corralation between Binh Minh and Picomat Plastic
Assuming the 90 days trading horizon Binh Minh Plastics is expected to under-perform the Picomat Plastic. In addition to that, Binh Minh is 1.07 times more volatile than Picomat Plastic JSC. It trades about -0.04 of its total potential returns per unit of risk. Picomat Plastic JSC is currently generating about 0.06 per unit of volatility. If you would invest 1,250,000 in Picomat Plastic JSC on October 25, 2024 and sell it today you would earn a total of 70,000 from holding Picomat Plastic JSC or generate 5.6% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Binh Minh Plastics vs. Picomat Plastic JSC
Performance |
Timeline |
Binh Minh Plastics |
Picomat Plastic JSC |
Binh Minh and Picomat Plastic Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Binh Minh and Picomat Plastic
The main advantage of trading using opposite Binh Minh and Picomat Plastic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Binh Minh position performs unexpectedly, Picomat Plastic 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 Picomat Plastic will offset losses from the drop in Picomat Plastic's long position.Binh Minh vs. FIT INVEST JSC | Binh Minh vs. Damsan JSC | Binh Minh vs. An Phat Plastic | Binh Minh vs. APG Securities Joint |
Picomat Plastic vs. FIT INVEST JSC | Picomat Plastic vs. Damsan JSC | Picomat Plastic vs. An Phat Plastic | Picomat Plastic 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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