Correlation Between Unilever Pakistan and TPL Insurance
Can any of the company-specific risk be diversified away by investing in both Unilever Pakistan and TPL Insurance 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 TPL Insurance 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 TPL Insurance, you can compare the effects of market volatilities on Unilever Pakistan and TPL Insurance 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 TPL Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Unilever Pakistan and TPL Insurance.
Diversification Opportunities for Unilever Pakistan and TPL Insurance
0.62 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Unilever and TPL is 0.62. Overlapping area represents the amount of risk that can be diversified away by holding Unilever Pakistan Foods and TPL Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on TPL 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 TPL Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of TPL Insurance has no effect on the direction of Unilever Pakistan i.e., Unilever Pakistan and TPL Insurance go up and down completely randomly.
Pair Corralation between Unilever Pakistan and TPL Insurance
Assuming the 90 days trading horizon Unilever Pakistan is expected to generate 1.74 times less return on investment than TPL Insurance. But when comparing it to its historical volatility, Unilever Pakistan Foods is 2.53 times less risky than TPL Insurance. It trades about 0.28 of its potential returns per unit of risk. TPL Insurance is currently generating about 0.2 of returns per unit of risk over similar time horizon. If you would invest 1,000.00 in TPL Insurance on September 27, 2024 and sell it today you would earn a total of 154.00 from holding TPL Insurance or generate 15.4% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Unilever Pakistan Foods vs. TPL Insurance
Performance |
Timeline |
Unilever Pakistan Foods |
TPL Insurance |
Unilever Pakistan and TPL Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Unilever Pakistan and TPL Insurance
The main advantage of trading using opposite Unilever Pakistan and TPL Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Unilever Pakistan position performs unexpectedly, TPL Insurance 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 TPL Insurance will offset losses from the drop in TPL Insurance's long position.Unilever Pakistan vs. Premier Insurance | Unilever Pakistan vs. EFU General Insurance | Unilever Pakistan vs. Adamjee Insurance | Unilever Pakistan vs. Shifa International Hospitals |
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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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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