Correlation Between Picomat Plastic and Tay Ninh
Can any of the company-specific risk be diversified away by investing in both Picomat Plastic and Tay Ninh 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 Picomat Plastic and Tay Ninh into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Picomat Plastic JSC and Tay Ninh Rubber, you can compare the effects of market volatilities on Picomat Plastic and Tay Ninh 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 Picomat Plastic with a short position of Tay Ninh. Check out your portfolio center. Please also check ongoing floating volatility patterns of Picomat Plastic and Tay Ninh.
Diversification Opportunities for Picomat Plastic and Tay Ninh
0.55 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Picomat and Tay is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding Picomat Plastic JSC and Tay Ninh Rubber in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tay Ninh Rubber and Picomat Plastic 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 Picomat Plastic JSC are associated (or correlated) with Tay Ninh. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tay Ninh Rubber has no effect on the direction of Picomat Plastic i.e., Picomat Plastic and Tay Ninh go up and down completely randomly.
Pair Corralation between Picomat Plastic and Tay Ninh
Assuming the 90 days trading horizon Picomat Plastic is expected to generate 9.76 times less return on investment than Tay Ninh. But when comparing it to its historical volatility, Picomat Plastic JSC is 1.33 times less risky than Tay Ninh. It trades about 0.05 of its potential returns per unit of risk. Tay Ninh Rubber is currently generating about 0.35 of returns per unit of risk over similar time horizon. If you would invest 4,135,000 in Tay Ninh Rubber on October 27, 2024 and sell it today you would earn a total of 2,895,000 from holding Tay Ninh Rubber or generate 70.01% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Picomat Plastic JSC vs. Tay Ninh Rubber
Performance |
Timeline |
Picomat Plastic JSC |
Tay Ninh Rubber |
Picomat Plastic and Tay Ninh Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Picomat Plastic and Tay Ninh
The main advantage of trading using opposite Picomat Plastic and Tay Ninh positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Picomat Plastic position performs unexpectedly, Tay Ninh 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 Tay Ninh will offset losses from the drop in Tay Ninh's long position.Picomat Plastic vs. Asia Commercial Bank | Picomat Plastic vs. Ducgiang Chemicals Detergent | Picomat Plastic vs. AgriBank Securities JSC | Picomat Plastic vs. Vietnam JSCmmercial Bank |
Tay Ninh vs. FIT INVEST JSC | Tay Ninh vs. Damsan JSC | Tay Ninh vs. An Phat Plastic | Tay Ninh 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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