Correlation Between Grays Leasing and Habib Insurance
Can any of the company-specific risk be diversified away by investing in both Grays Leasing 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 Grays Leasing and Habib Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Grays Leasing and Habib Insurance, you can compare the effects of market volatilities on Grays Leasing 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 Grays Leasing with a short position of Habib Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Grays Leasing and Habib Insurance.
Diversification Opportunities for Grays Leasing and Habib Insurance
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Grays and Habib is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding Grays Leasing and Habib Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Habib Insurance and Grays Leasing 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 Grays Leasing 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 Grays Leasing i.e., Grays Leasing and Habib Insurance go up and down completely randomly.
Pair Corralation between Grays Leasing and Habib Insurance
Assuming the 90 days trading horizon Grays Leasing is expected to generate 1.18 times more return on investment than Habib Insurance. However, Grays Leasing is 1.18 times more volatile than Habib Insurance. It trades about 0.33 of its potential returns per unit of risk. Habib Insurance is currently generating about 0.22 per unit of risk. If you would invest 432.00 in Grays Leasing on September 27, 2024 and sell it today you would earn a total of 187.00 from holding Grays Leasing or generate 43.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Grays Leasing vs. Habib Insurance
Performance |
Timeline |
Grays Leasing |
Habib Insurance |
Grays Leasing and Habib Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Grays Leasing and Habib Insurance
The main advantage of trading using opposite Grays Leasing and Habib Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Grays Leasing 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.Grays Leasing vs. Habib Bank | Grays Leasing vs. National Bank of | Grays Leasing vs. United Bank | Grays Leasing vs. MCB Bank |
Habib Insurance vs. Mari Petroleum | Habib Insurance vs. Tariq CorpPref | Habib Insurance vs. Media Times | Habib Insurance vs. Sardar Chemical Industries |
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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