Correlation Between TPL Insurance and Habib Insurance
Can any of the company-specific risk be diversified away by investing in both TPL Insurance 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 TPL Insurance and Habib Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between TPL Insurance and Habib Insurance, you can compare the effects of market volatilities on TPL Insurance 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 TPL Insurance with a short position of Habib Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of TPL Insurance and Habib Insurance.
Diversification Opportunities for TPL Insurance and Habib Insurance
0.59 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between TPL and Habib is 0.59. Overlapping area represents the amount of risk that can be diversified away by holding TPL Insurance and Habib Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Habib Insurance and TPL Insurance 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 TPL Insurance 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 TPL Insurance i.e., TPL Insurance and Habib Insurance go up and down completely randomly.
Pair Corralation between TPL Insurance and Habib Insurance
Assuming the 90 days trading horizon TPL Insurance is expected to generate 3.8 times less return on investment than Habib Insurance. But when comparing it to its historical volatility, TPL Insurance is 1.47 times less risky than Habib Insurance. It trades about 0.1 of its potential returns per unit of risk. Habib Insurance is currently generating about 0.26 of returns per unit of risk over similar time horizon. If you would invest 600.00 in Habib Insurance on September 13, 2024 and sell it today you would earn a total of 270.00 from holding Habib Insurance or generate 45.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 88.37% |
Values | Daily Returns |
TPL Insurance vs. Habib Insurance
Performance |
Timeline |
TPL Insurance |
Habib Insurance |
TPL Insurance and Habib Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with TPL Insurance and Habib Insurance
The main advantage of trading using opposite TPL Insurance and Habib Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if TPL Insurance 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.TPL Insurance vs. Masood Textile Mills | TPL Insurance vs. Fauji Foods | TPL Insurance vs. KSB Pumps | TPL Insurance vs. Mari Petroleum |
Habib Insurance vs. Masood Textile Mills | Habib Insurance vs. Fauji Foods | Habib Insurance vs. KSB Pumps | Habib Insurance vs. Mari Petroleum |
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 Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
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