Correlation Between Materials Petroleum and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Materials Petroleum and Dow Jones 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 Dow Jones 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 Dow Jones Industrial, you can compare the effects of market volatilities on Materials Petroleum and Dow Jones 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 Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Materials Petroleum and Dow Jones.
Diversification Opportunities for Materials Petroleum and Dow Jones
0.29 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Materials and Dow is 0.29. Overlapping area represents the amount of risk that can be diversified away by holding Materials Petroleum JSC and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial 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 Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of Materials Petroleum i.e., Materials Petroleum and Dow Jones go up and down completely randomly.
Pair Corralation between Materials Petroleum and Dow Jones
Assuming the 90 days trading horizon Materials Petroleum JSC is expected to generate 6.44 times more return on investment than Dow Jones. However, Materials Petroleum is 6.44 times more volatile than Dow Jones Industrial. It trades about 0.03 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.07 per unit of risk. If you would invest 2,601,673 in Materials Petroleum JSC on September 20, 2024 and sell it today you would earn a total of 163,327 from holding Materials Petroleum JSC or generate 6.28% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 56.45% |
Values | Daily Returns |
Materials Petroleum JSC vs. Dow Jones Industrial
Performance |
Timeline |
Materials Petroleum and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Materials Petroleum JSC
Pair trading matchups for Materials Petroleum
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Materials Petroleum and Dow Jones
The main advantage of trading using opposite Materials Petroleum and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Materials Petroleum position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.Materials Petroleum vs. SCG Construction JSC | Materials Petroleum vs. Post and Telecommunications | Materials Petroleum vs. Sao Ta Foods | Materials Petroleum vs. Binh Duong Construction |
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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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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