Correlation Between Unilever Pakistan and Agha Steel
Can any of the company-specific risk be diversified away by investing in both Unilever Pakistan and Agha Steel 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 Agha Steel 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 Agha Steel Industries, you can compare the effects of market volatilities on Unilever Pakistan and Agha Steel 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 Agha Steel. Check out your portfolio center. Please also check ongoing floating volatility patterns of Unilever Pakistan and Agha Steel.
Diversification Opportunities for Unilever Pakistan and Agha Steel
-0.44 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Unilever and Agha is -0.44. Overlapping area represents the amount of risk that can be diversified away by holding Unilever Pakistan Foods and Agha Steel Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Agha Steel Industries 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 Agha Steel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Agha Steel Industries has no effect on the direction of Unilever Pakistan i.e., Unilever Pakistan and Agha Steel go up and down completely randomly.
Pair Corralation between Unilever Pakistan and Agha Steel
Assuming the 90 days trading horizon Unilever Pakistan Foods is expected to generate 0.38 times more return on investment than Agha Steel. However, Unilever Pakistan Foods is 2.66 times less risky than Agha Steel. It trades about 0.28 of its potential returns per unit of risk. Agha Steel Industries is currently generating about -0.01 per unit of risk. If you would invest 1,719,900 in Unilever Pakistan Foods on October 9, 2024 and sell it today you would earn a total of 380,100 from holding Unilever Pakistan Foods or generate 22.1% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Unilever Pakistan Foods vs. Agha Steel Industries
Performance |
Timeline |
Unilever Pakistan Foods |
Agha Steel Industries |
Unilever Pakistan and Agha Steel Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Unilever Pakistan and Agha Steel
The main advantage of trading using opposite Unilever Pakistan and Agha Steel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Unilever Pakistan position performs unexpectedly, Agha Steel 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 Agha Steel will offset losses from the drop in Agha Steel's long position.Unilever Pakistan vs. Pakistan Aluminium Beverage | Unilever Pakistan vs. Pakistan Telecommunication | Unilever Pakistan vs. Hi Tech Lubricants | Unilever Pakistan vs. Lotte Chemical Pakistan |
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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 Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.
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