Correlation Between Shell Pakistan and Unilever Pakistan
Can any of the company-specific risk be diversified away by investing in both Shell Pakistan and Unilever Pakistan 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 Shell Pakistan and Unilever Pakistan into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Shell Pakistan and Unilever Pakistan Foods, you can compare the effects of market volatilities on Shell Pakistan and Unilever Pakistan 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 Shell Pakistan with a short position of Unilever Pakistan. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shell Pakistan and Unilever Pakistan.
Diversification Opportunities for Shell Pakistan and Unilever Pakistan
0.75 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Shell and Unilever is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding Shell Pakistan and Unilever Pakistan Foods in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Unilever Pakistan Foods and Shell Pakistan 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 Shell Pakistan are associated (or correlated) with Unilever Pakistan. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Unilever Pakistan Foods has no effect on the direction of Shell Pakistan i.e., Shell Pakistan and Unilever Pakistan go up and down completely randomly.
Pair Corralation between Shell Pakistan and Unilever Pakistan
Assuming the 90 days trading horizon Shell Pakistan is expected to under-perform the Unilever Pakistan. In addition to that, Shell Pakistan is 2.59 times more volatile than Unilever Pakistan Foods. It trades about -0.26 of its total potential returns per unit of risk. Unilever Pakistan Foods is currently generating about 0.21 per unit of volatility. If you would invest 2,100,001 in Unilever Pakistan Foods on October 25, 2024 and sell it today you would earn a total of 89,999 from holding Unilever Pakistan Foods or generate 4.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 95.24% |
Values | Daily Returns |
Shell Pakistan vs. Unilever Pakistan Foods
Performance |
Timeline |
Shell Pakistan |
Unilever Pakistan Foods |
Shell Pakistan and Unilever Pakistan Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Shell Pakistan and Unilever Pakistan
The main advantage of trading using opposite Shell Pakistan and Unilever Pakistan positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shell Pakistan position performs unexpectedly, Unilever Pakistan 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 Unilever Pakistan will offset losses from the drop in Unilever Pakistan's long position.Shell Pakistan vs. Air Link Communication | Shell Pakistan vs. Synthetic Products Enterprises | Shell Pakistan vs. Invest Capital Investment | Shell Pakistan vs. Ittehad Chemicals |
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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 Balance Of Power module to check stock momentum by analyzing Balance Of Power indicator and other technical ratios.
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