Correlation Between Mekong Fisheries and Materials Petroleum
Can any of the company-specific risk be diversified away by investing in both Mekong Fisheries and Materials Petroleum 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 Mekong Fisheries and Materials Petroleum into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mekong Fisheries JSC and Materials Petroleum JSC, you can compare the effects of market volatilities on Mekong Fisheries and Materials Petroleum 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 Mekong Fisheries with a short position of Materials Petroleum. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mekong Fisheries and Materials Petroleum.
Diversification Opportunities for Mekong Fisheries and Materials Petroleum
-0.11 | Correlation Coefficient |
Good diversification
The 3 months correlation between Mekong and Materials is -0.11. Overlapping area represents the amount of risk that can be diversified away by holding Mekong Fisheries JSC and Materials Petroleum JSC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Materials Petroleum JSC and Mekong Fisheries 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 Mekong Fisheries JSC are associated (or correlated) with Materials Petroleum. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Materials Petroleum JSC has no effect on the direction of Mekong Fisheries i.e., Mekong Fisheries and Materials Petroleum go up and down completely randomly.
Pair Corralation between Mekong Fisheries and Materials Petroleum
Assuming the 90 days trading horizon Mekong Fisheries JSC is expected to generate 0.69 times more return on investment than Materials Petroleum. However, Mekong Fisheries JSC is 1.44 times less risky than Materials Petroleum. It trades about -0.02 of its potential returns per unit of risk. Materials Petroleum JSC is currently generating about -0.02 per unit of risk. If you would invest 745,000 in Mekong Fisheries JSC on October 9, 2024 and sell it today you would lose (40,000) from holding Mekong Fisheries JSC or give up 5.37% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 74.6% |
Values | Daily Returns |
Mekong Fisheries JSC vs. Materials Petroleum JSC
Performance |
Timeline |
Mekong Fisheries JSC |
Materials Petroleum JSC |
Mekong Fisheries and Materials Petroleum Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mekong Fisheries and Materials Petroleum
The main advantage of trading using opposite Mekong Fisheries and Materials Petroleum positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mekong Fisheries position performs unexpectedly, Materials Petroleum 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 Materials Petroleum will offset losses from the drop in Materials Petroleum's long position.Mekong Fisheries vs. Hanoi Beer Alcohol | Mekong Fisheries vs. Southern Rubber Industry | Mekong Fisheries vs. Pha Le Plastics | Mekong Fisheries vs. An Phat Plastic |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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