Correlation Between Materials Petroleum and Picomat Plastic
Can any of the company-specific risk be diversified away by investing in both Materials Petroleum 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 Materials Petroleum and Picomat Plastic into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Materials Petroleum JSC and Picomat Plastic JSC, you can compare the effects of market volatilities on Materials Petroleum 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 Materials Petroleum with a short position of Picomat Plastic. Check out your portfolio center. Please also check ongoing floating volatility patterns of Materials Petroleum and Picomat Plastic.
Diversification Opportunities for Materials Petroleum and Picomat Plastic
-0.21 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Materials and Picomat is -0.21. Overlapping area represents the amount of risk that can be diversified away by holding Materials Petroleum JSC 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 Materials Petroleum 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 Materials Petroleum JSC 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 Materials Petroleum i.e., Materials Petroleum and Picomat Plastic go up and down completely randomly.
Pair Corralation between Materials Petroleum and Picomat Plastic
Assuming the 90 days trading horizon Materials Petroleum is expected to generate 18.8 times less return on investment than Picomat Plastic. In addition to that, Materials Petroleum is 3.26 times more volatile than Picomat Plastic JSC. It trades about 0.0 of its total potential returns per unit of risk. Picomat Plastic JSC is currently generating about 0.11 per unit of volatility. If you would invest 1,180,000 in Picomat Plastic JSC on September 2, 2024 and sell it today you would earn a total of 110,000 from holding Picomat Plastic JSC or generate 9.32% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 79.37% |
Values | Daily Returns |
Materials Petroleum JSC vs. Picomat Plastic JSC
Performance |
Timeline |
Materials Petroleum JSC |
Picomat Plastic JSC |
Materials Petroleum and Picomat Plastic Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Materials Petroleum and Picomat Plastic
The main advantage of trading using opposite Materials Petroleum and Picomat Plastic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Materials Petroleum 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.Materials Petroleum vs. Construction And Investment | Materials Petroleum vs. Tien Giang Investment | Materials Petroleum vs. Tng Investment And | Materials Petroleum vs. Techno Agricultural Supplying |
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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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