Correlation Between Engro Polymer and Pakistan Petroleum
Can any of the company-specific risk be diversified away by investing in both Engro Polymer and Pakistan 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 Engro Polymer and Pakistan Petroleum into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Engro Polymer Chemicals and Pakistan Petroleum, you can compare the effects of market volatilities on Engro Polymer and Pakistan 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 Engro Polymer with a short position of Pakistan Petroleum. Check out your portfolio center. Please also check ongoing floating volatility patterns of Engro Polymer and Pakistan Petroleum.
Diversification Opportunities for Engro Polymer and Pakistan Petroleum
0.53 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Engro and Pakistan is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding Engro Polymer Chemicals and Pakistan Petroleum in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pakistan Petroleum and Engro Polymer 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 Engro Polymer Chemicals are associated (or correlated) with Pakistan Petroleum. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pakistan Petroleum has no effect on the direction of Engro Polymer i.e., Engro Polymer and Pakistan Petroleum go up and down completely randomly.
Pair Corralation between Engro Polymer and Pakistan Petroleum
Assuming the 90 days trading horizon Engro Polymer Chemicals is expected to generate 0.87 times more return on investment than Pakistan Petroleum. However, Engro Polymer Chemicals is 1.15 times less risky than Pakistan Petroleum. It trades about 0.02 of its potential returns per unit of risk. Pakistan Petroleum is currently generating about -0.01 per unit of risk. If you would invest 3,699 in Engro Polymer Chemicals on December 30, 2024 and sell it today you would earn a total of 56.00 from holding Engro Polymer Chemicals or generate 1.51% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Engro Polymer Chemicals vs. Pakistan Petroleum
Performance |
Timeline |
Engro Polymer Chemicals |
Pakistan Petroleum |
Engro Polymer and Pakistan Petroleum Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Engro Polymer and Pakistan Petroleum
The main advantage of trading using opposite Engro Polymer and Pakistan Petroleum positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Engro Polymer position performs unexpectedly, Pakistan 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 Pakistan Petroleum will offset losses from the drop in Pakistan Petroleum's long position.Engro Polymer vs. Meezan Bank | Engro Polymer vs. National Bank of | Engro Polymer vs. Shaheen Insurance | Engro Polymer vs. Century Insurance |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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