Correlation Between Materials Petroleum and Hochiminh City
Can any of the company-specific risk be diversified away by investing in both Materials Petroleum and Hochiminh City 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 Hochiminh City 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 Hochiminh City Metal, you can compare the effects of market volatilities on Materials Petroleum and Hochiminh City 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 Hochiminh City. Check out your portfolio center. Please also check ongoing floating volatility patterns of Materials Petroleum and Hochiminh City.
Diversification Opportunities for Materials Petroleum and Hochiminh City
0.22 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Materials and Hochiminh is 0.22. Overlapping area represents the amount of risk that can be diversified away by holding Materials Petroleum JSC and Hochiminh City Metal in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hochiminh City Metal 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 Hochiminh City. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hochiminh City Metal has no effect on the direction of Materials Petroleum i.e., Materials Petroleum and Hochiminh City go up and down completely randomly.
Pair Corralation between Materials Petroleum and Hochiminh City
Assuming the 90 days trading horizon Materials Petroleum JSC is expected to generate 1.42 times more return on investment than Hochiminh City. However, Materials Petroleum is 1.42 times more volatile than Hochiminh City Metal. It trades about 0.12 of its potential returns per unit of risk. Hochiminh City Metal is currently generating about 0.06 per unit of risk. If you would invest 2,633,333 in Materials Petroleum JSC on December 24, 2024 and sell it today you would earn a total of 401,667 from holding Materials Petroleum JSC or generate 15.25% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 64.41% |
Values | Daily Returns |
Materials Petroleum JSC vs. Hochiminh City Metal
Performance |
Timeline |
Materials Petroleum JSC |
Hochiminh City Metal |
Materials Petroleum and Hochiminh City Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Materials Petroleum and Hochiminh City
The main advantage of trading using opposite Materials Petroleum and Hochiminh City positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Materials Petroleum position performs unexpectedly, Hochiminh City 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 Hochiminh City will offset losses from the drop in Hochiminh City's long position.Materials Petroleum vs. South Basic Chemicals | Materials Petroleum vs. POST TELECOMMU | Materials Petroleum vs. Asia Commercial Bank | Materials Petroleum vs. Post and Telecommunications |
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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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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