Correlation Between Pakistan Synthetics and United Insurance
Can any of the company-specific risk be diversified away by investing in both Pakistan Synthetics and United 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 Pakistan Synthetics and United Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pakistan Synthetics and United Insurance, you can compare the effects of market volatilities on Pakistan Synthetics and United 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 Pakistan Synthetics with a short position of United Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pakistan Synthetics and United Insurance.
Diversification Opportunities for Pakistan Synthetics and United Insurance
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Pakistan and United is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Pakistan Synthetics and United Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on United Insurance and Pakistan Synthetics 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 Synthetics are associated (or correlated) with United Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of United Insurance has no effect on the direction of Pakistan Synthetics i.e., Pakistan Synthetics and United Insurance go up and down completely randomly.
Pair Corralation between Pakistan Synthetics and United Insurance
Assuming the 90 days trading horizon Pakistan Synthetics is expected to generate 2.2 times more return on investment than United Insurance. However, Pakistan Synthetics is 2.2 times more volatile than United Insurance. It trades about 0.05 of its potential returns per unit of risk. United Insurance is currently generating about 0.08 per unit of risk. If you would invest 3,831 in Pakistan Synthetics on December 24, 2024 and sell it today you would earn a total of 345.00 from holding Pakistan Synthetics or generate 9.01% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.39% |
Values | Daily Returns |
Pakistan Synthetics vs. United Insurance
Performance |
Timeline |
Pakistan Synthetics |
United Insurance |
Pakistan Synthetics and United Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pakistan Synthetics and United Insurance
The main advantage of trading using opposite Pakistan Synthetics and United Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pakistan Synthetics position performs unexpectedly, United 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 United Insurance will offset losses from the drop in United Insurance's long position.Pakistan Synthetics vs. Ghandhara Automobile | Pakistan Synthetics vs. AKD Hospitality | Pakistan Synthetics vs. Agha Steel Industries | Pakistan Synthetics vs. Nimir Industrial Chemical |
United Insurance vs. Pak Datacom | United Insurance vs. Supernet Technologie | United Insurance vs. Honda Atlas Cars | United Insurance vs. Aisha Steel Mills |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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