Correlation Between Loads and Habib Insurance
Can any of the company-specific risk be diversified away by investing in both Loads and Habib 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 Loads and Habib Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Loads and Habib Insurance, you can compare the effects of market volatilities on Loads and Habib 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 Loads with a short position of Habib Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Loads and Habib Insurance.
Diversification Opportunities for Loads and Habib Insurance
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Loads and Habib is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding Loads and Habib Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Habib Insurance and Loads 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 Loads are associated (or correlated) with Habib Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Habib Insurance has no effect on the direction of Loads i.e., Loads and Habib Insurance go up and down completely randomly.
Pair Corralation between Loads and Habib Insurance
Assuming the 90 days trading horizon Loads is expected to generate 1.1 times less return on investment than Habib Insurance. But when comparing it to its historical volatility, Loads is 1.25 times less risky than Habib Insurance. It trades about 0.08 of its potential returns per unit of risk. Habib Insurance is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 602.00 in Habib Insurance on September 14, 2024 and sell it today you would earn a total of 264.00 from holding Habib Insurance or generate 43.85% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 77.18% |
Values | Daily Returns |
Loads vs. Habib Insurance
Performance |
Timeline |
Loads |
Habib Insurance |
Loads and Habib Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Loads and Habib Insurance
The main advantage of trading using opposite Loads and Habib Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Loads position performs unexpectedly, Habib 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 Habib Insurance will offset losses from the drop in Habib Insurance's long position.Loads vs. Air Link Communication | Loads vs. EFU General Insurance | Loads vs. Oil and Gas | Loads vs. Pakistan Hotel Developers |
Habib Insurance vs. Pak Gulf Leasing | Habib Insurance vs. Air Link Communication | Habib Insurance vs. International Steels | Habib Insurance vs. Amreli Steels |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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