Correlation Between Wah Nobel and Engro Fertilizers
Can any of the company-specific risk be diversified away by investing in both Wah Nobel and Engro Fertilizers 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 Wah Nobel and Engro Fertilizers into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Wah Nobel Chemicals and Engro Fertilizers, you can compare the effects of market volatilities on Wah Nobel and Engro Fertilizers 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 Wah Nobel with a short position of Engro Fertilizers. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wah Nobel and Engro Fertilizers.
Diversification Opportunities for Wah Nobel and Engro Fertilizers
0.25 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Wah and Engro is 0.25. Overlapping area represents the amount of risk that can be diversified away by holding Wah Nobel Chemicals and Engro Fertilizers in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Engro Fertilizers and Wah Nobel 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 Wah Nobel Chemicals are associated (or correlated) with Engro Fertilizers. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Engro Fertilizers has no effect on the direction of Wah Nobel i.e., Wah Nobel and Engro Fertilizers go up and down completely randomly.
Pair Corralation between Wah Nobel and Engro Fertilizers
Assuming the 90 days trading horizon Wah Nobel is expected to generate 2.22 times less return on investment than Engro Fertilizers. In addition to that, Wah Nobel is 1.47 times more volatile than Engro Fertilizers. It trades about 0.04 of its total potential returns per unit of risk. Engro Fertilizers is currently generating about 0.15 per unit of volatility. If you would invest 20,374 in Engro Fertilizers on October 11, 2024 and sell it today you would earn a total of 1,853 from holding Engro Fertilizers or generate 9.09% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 95.24% |
Values | Daily Returns |
Wah Nobel Chemicals vs. Engro Fertilizers
Performance |
Timeline |
Wah Nobel Chemicals |
Engro Fertilizers |
Wah Nobel and Engro Fertilizers Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Wah Nobel and Engro Fertilizers
The main advantage of trading using opposite Wah Nobel and Engro Fertilizers positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wah Nobel position performs unexpectedly, Engro Fertilizers 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 Engro Fertilizers will offset losses from the drop in Engro Fertilizers' long position.Wah Nobel vs. Shaheen Insurance | Wah Nobel vs. MCB Bank | Wah Nobel vs. Pakistan Tobacco | Wah Nobel vs. Reliance Insurance Co |
Engro Fertilizers vs. Oil and Gas | Engro Fertilizers vs. Fauji Foods | Engro Fertilizers vs. United Insurance | Engro Fertilizers vs. Wah Nobel Chemicals |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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