Correlation Between Sitara Chemical and Unilever Pakistan
Can any of the company-specific risk be diversified away by investing in both Sitara Chemical 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 Sitara Chemical and Unilever Pakistan into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sitara Chemical Industries and Unilever Pakistan Foods, you can compare the effects of market volatilities on Sitara Chemical 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 Sitara Chemical with a short position of Unilever Pakistan. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sitara Chemical and Unilever Pakistan.
Diversification Opportunities for Sitara Chemical and Unilever Pakistan
0.63 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Sitara and Unilever is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding Sitara Chemical Industries 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 Sitara Chemical 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 Sitara Chemical Industries 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 Sitara Chemical i.e., Sitara Chemical and Unilever Pakistan go up and down completely randomly.
Pair Corralation between Sitara Chemical and Unilever Pakistan
Assuming the 90 days trading horizon Sitara Chemical Industries is expected to under-perform the Unilever Pakistan. In addition to that, Sitara Chemical is 2.0 times more volatile than Unilever Pakistan Foods. It trades about -0.02 of its total potential returns per unit of risk. Unilever Pakistan Foods is currently generating about 0.06 per unit of volatility. If you would invest 2,069,350 in Unilever Pakistan Foods on October 8, 2024 and sell it today you would earn a total of 29,881 from holding Unilever Pakistan Foods or generate 1.44% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Sitara Chemical Industries vs. Unilever Pakistan Foods
Performance |
Timeline |
Sitara Chemical Indu |
Unilever Pakistan Foods |
Sitara Chemical and Unilever Pakistan Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sitara Chemical and Unilever Pakistan
The main advantage of trading using opposite Sitara Chemical and Unilever Pakistan positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sitara Chemical 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.Sitara Chemical vs. Metropolitan Steel Corp | Sitara Chemical vs. MCB Investment Manag | Sitara Chemical vs. Adamjee Insurance | Sitara Chemical vs. Reliance Insurance Co |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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