Correlation Between Pakistan Tobacco and Roshan Packages
Can any of the company-specific risk be diversified away by investing in both Pakistan Tobacco and Roshan Packages 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 Pakistan Tobacco and Roshan Packages into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pakistan Tobacco and Roshan Packages, you can compare the effects of market volatilities on Pakistan Tobacco and Roshan Packages 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 Pakistan Tobacco with a short position of Roshan Packages. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pakistan Tobacco and Roshan Packages.
Diversification Opportunities for Pakistan Tobacco and Roshan Packages
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Pakistan and Roshan is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding Pakistan Tobacco and Roshan Packages in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Roshan Packages and Pakistan Tobacco 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 Pakistan Tobacco are associated (or correlated) with Roshan Packages. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Roshan Packages has no effect on the direction of Pakistan Tobacco i.e., Pakistan Tobacco and Roshan Packages go up and down completely randomly.
Pair Corralation between Pakistan Tobacco and Roshan Packages
Assuming the 90 days trading horizon Pakistan Tobacco is expected to generate 0.61 times more return on investment than Roshan Packages. However, Pakistan Tobacco is 1.64 times less risky than Roshan Packages. It trades about -0.02 of its potential returns per unit of risk. Roshan Packages is currently generating about -0.07 per unit of risk. If you would invest 128,000 in Pakistan Tobacco on October 11, 2024 and sell it today you would lose (1,951) from holding Pakistan Tobacco or give up 1.52% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Pakistan Tobacco vs. Roshan Packages
Performance |
Timeline |
Pakistan Tobacco |
Roshan Packages |
Pakistan Tobacco and Roshan Packages Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pakistan Tobacco and Roshan Packages
The main advantage of trading using opposite Pakistan Tobacco and Roshan Packages positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pakistan Tobacco position performs unexpectedly, Roshan Packages 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 Roshan Packages will offset losses from the drop in Roshan Packages' long position.Pakistan Tobacco vs. Century Insurance | Pakistan Tobacco vs. Atlas Insurance | Pakistan Tobacco vs. Askari General Insurance | Pakistan Tobacco vs. TPL Insurance |
Roshan Packages vs. Nimir Industrial Chemical | Roshan Packages vs. Pakistan Reinsurance | Roshan Packages vs. IGI Life Insurance | Roshan Packages vs. TPL Insurance |
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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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