Correlation Between Unilever Pakistan and Crescent Star
Can any of the company-specific risk be diversified away by investing in both Unilever Pakistan and Crescent Star 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 Unilever Pakistan and Crescent Star into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Unilever Pakistan Foods and Crescent Star Insurance, you can compare the effects of market volatilities on Unilever Pakistan and Crescent Star 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 Unilever Pakistan with a short position of Crescent Star. Check out your portfolio center. Please also check ongoing floating volatility patterns of Unilever Pakistan and Crescent Star.
Diversification Opportunities for Unilever Pakistan and Crescent Star
0.52 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Unilever and Crescent is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding Unilever Pakistan Foods and Crescent Star Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Crescent Star Insurance and Unilever 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 Unilever Pakistan Foods are associated (or correlated) with Crescent Star. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Crescent Star Insurance has no effect on the direction of Unilever Pakistan i.e., Unilever Pakistan and Crescent Star go up and down completely randomly.
Pair Corralation between Unilever Pakistan and Crescent Star
Assuming the 90 days trading horizon Unilever Pakistan Foods is expected to generate 0.39 times more return on investment than Crescent Star. However, Unilever Pakistan Foods is 2.58 times less risky than Crescent Star. It trades about 0.13 of its potential returns per unit of risk. Crescent Star Insurance is currently generating about 0.01 per unit of risk. If you would invest 2,033,055 in Unilever Pakistan Foods on October 11, 2024 and sell it today you would earn a total of 66,945 from holding Unilever Pakistan Foods or generate 3.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Unilever Pakistan Foods vs. Crescent Star Insurance
Performance |
Timeline |
Unilever Pakistan Foods |
Crescent Star Insurance |
Unilever Pakistan and Crescent Star Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Unilever Pakistan and Crescent Star
The main advantage of trading using opposite Unilever Pakistan and Crescent Star positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Unilever Pakistan position performs unexpectedly, Crescent Star 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 Crescent Star will offset losses from the drop in Crescent Star's long position.Unilever Pakistan vs. Fauji Foods | Unilever Pakistan vs. NetSol Technologies | Unilever Pakistan vs. Shifa International Hospitals | Unilever Pakistan vs. Quice Food Industries |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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