Correlation Between Pakistan Tobacco and Jubilee Life
Can any of the company-specific risk be diversified away by investing in both Pakistan Tobacco and Jubilee Life 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 Jubilee Life into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pakistan Tobacco and Jubilee Life Insurance, you can compare the effects of market volatilities on Pakistan Tobacco and Jubilee Life 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 Jubilee Life. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pakistan Tobacco and Jubilee Life.
Diversification Opportunities for Pakistan Tobacco and Jubilee Life
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Pakistan and Jubilee is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Pakistan Tobacco and Jubilee Life Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jubilee Life Insurance 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 Jubilee Life. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jubilee Life Insurance has no effect on the direction of Pakistan Tobacco i.e., Pakistan Tobacco and Jubilee Life go up and down completely randomly.
Pair Corralation between Pakistan Tobacco and Jubilee Life
Assuming the 90 days trading horizon Pakistan Tobacco is expected to generate 1.2 times more return on investment than Jubilee Life. However, Pakistan Tobacco is 1.2 times more volatile than Jubilee Life Insurance. It trades about 0.25 of its potential returns per unit of risk. Jubilee Life Insurance is currently generating about 0.18 per unit of risk. If you would invest 79,848 in Pakistan Tobacco on September 5, 2024 and sell it today you would earn a total of 42,977 from holding Pakistan Tobacco or generate 53.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.44% |
Values | Daily Returns |
Pakistan Tobacco vs. Jubilee Life Insurance
Performance |
Timeline |
Pakistan Tobacco |
Jubilee Life Insurance |
Pakistan Tobacco and Jubilee Life Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pakistan Tobacco and Jubilee Life
The main advantage of trading using opposite Pakistan Tobacco and Jubilee Life positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pakistan Tobacco position performs unexpectedly, Jubilee Life 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 Jubilee Life will offset losses from the drop in Jubilee Life's long position.Pakistan Tobacco vs. Masood Textile Mills | Pakistan Tobacco vs. Fauji Foods | Pakistan Tobacco vs. KSB Pumps | Pakistan Tobacco vs. Mari Petroleum |
Jubilee Life vs. Pakistan Tobacco | Jubilee Life vs. Aisha Steel Mills | Jubilee Life vs. Century Insurance | Jubilee Life vs. Sindh Modaraba Management |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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