Correlation Between Long An and Materials Petroleum
Can any of the company-specific risk be diversified away by investing in both Long An 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 Long An and Materials Petroleum into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Long An Food and Materials Petroleum JSC, you can compare the effects of market volatilities on Long An 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 Long An with a short position of Materials Petroleum. Check out your portfolio center. Please also check ongoing floating volatility patterns of Long An and Materials Petroleum.
Diversification Opportunities for Long An and Materials Petroleum
-0.04 | Correlation Coefficient |
Good diversification
The 3 months correlation between Long and Materials is -0.04. Overlapping area represents the amount of risk that can be diversified away by holding Long An Food 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 Long An 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 Long An Food 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 Long An i.e., Long An and Materials Petroleum go up and down completely randomly.
Pair Corralation between Long An and Materials Petroleum
Assuming the 90 days trading horizon Long An is expected to generate 1.66 times less return on investment than Materials Petroleum. But when comparing it to its historical volatility, Long An Food is 1.46 times less risky than Materials Petroleum. It trades about 0.12 of its potential returns per unit of risk. Materials Petroleum JSC is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 2,633,333 in Materials Petroleum JSC on December 23, 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 Against |
Strength | Insignificant |
Accuracy | 63.79% |
Values | Daily Returns |
Long An Food vs. Materials Petroleum JSC
Performance |
Timeline |
Long An Food |
Materials Petroleum JSC |
Long An and Materials Petroleum Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Long An and Materials Petroleum
The main advantage of trading using opposite Long An and Materials Petroleum positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Long An 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.Long An vs. Ha Long Investment | Long An vs. 577 Investment Corp | Long An vs. Plastic Additives JSC | Long An vs. LDG Investment JSC |
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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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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