Correlation Between Habib Insurance and Wah Nobel
Can any of the company-specific risk be diversified away by investing in both Habib Insurance and Wah Nobel 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 Habib Insurance and Wah Nobel into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Habib Insurance and Wah Nobel Chemicals, you can compare the effects of market volatilities on Habib Insurance and Wah Nobel 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 Habib Insurance with a short position of Wah Nobel. Check out your portfolio center. Please also check ongoing floating volatility patterns of Habib Insurance and Wah Nobel.
Diversification Opportunities for Habib Insurance and Wah Nobel
0.6 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Habib and Wah is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding Habib Insurance and Wah Nobel Chemicals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wah Nobel Chemicals and Habib 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 Habib Insurance are associated (or correlated) with Wah Nobel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wah Nobel Chemicals has no effect on the direction of Habib Insurance i.e., Habib Insurance and Wah Nobel go up and down completely randomly.
Pair Corralation between Habib Insurance and Wah Nobel
Assuming the 90 days trading horizon Habib Insurance is expected to generate 2.61 times more return on investment than Wah Nobel. However, Habib Insurance is 2.61 times more volatile than Wah Nobel Chemicals. It trades about 0.23 of its potential returns per unit of risk. Wah Nobel Chemicals is currently generating about 0.27 per unit of risk. If you would invest 699.00 in Habib Insurance on September 17, 2024 and sell it today you would earn a total of 141.00 from holding Habib Insurance or generate 20.17% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Habib Insurance vs. Wah Nobel Chemicals
Performance |
Timeline |
Habib Insurance |
Wah Nobel Chemicals |
Habib Insurance and Wah Nobel Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Habib Insurance and Wah Nobel
The main advantage of trading using opposite Habib Insurance and Wah Nobel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Habib Insurance position performs unexpectedly, Wah Nobel 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 Wah Nobel will offset losses from the drop in Wah Nobel's long position.Habib Insurance vs. Masood Textile Mills | Habib Insurance vs. Fauji Foods | Habib Insurance vs. KSB Pumps | Habib Insurance vs. Mari Petroleum |
Wah Nobel vs. Masood Textile Mills | Wah Nobel vs. Fauji Foods | Wah Nobel vs. KSB Pumps | Wah Nobel 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 Sync Your Broker module to sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors..
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