Correlation Between Pakistan State and Atlas Insurance
Can any of the company-specific risk be diversified away by investing in both Pakistan State and Atlas 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 State and Atlas Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pakistan State Oil and Atlas Insurance, you can compare the effects of market volatilities on Pakistan State and Atlas 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 State with a short position of Atlas Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pakistan State and Atlas Insurance.
Diversification Opportunities for Pakistan State and Atlas Insurance
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Pakistan and Atlas is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding Pakistan State Oil and Atlas Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Atlas Insurance and Pakistan State 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 State Oil are associated (or correlated) with Atlas Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Atlas Insurance has no effect on the direction of Pakistan State i.e., Pakistan State and Atlas Insurance go up and down completely randomly.
Pair Corralation between Pakistan State and Atlas Insurance
Assuming the 90 days trading horizon Pakistan State is expected to generate 1.8 times less return on investment than Atlas Insurance. In addition to that, Pakistan State is 1.3 times more volatile than Atlas Insurance. It trades about 0.2 of its total potential returns per unit of risk. Atlas Insurance is currently generating about 0.48 per unit of volatility. If you would invest 4,419 in Atlas Insurance on August 29, 2024 and sell it today you would earn a total of 1,033 from holding Atlas Insurance or generate 23.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Pakistan State Oil vs. Atlas Insurance
Performance |
Timeline |
Pakistan State Oil |
Atlas Insurance |
Pakistan State and Atlas Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pakistan State and Atlas Insurance
The main advantage of trading using opposite Pakistan State and Atlas Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pakistan State position performs unexpectedly, Atlas 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 Atlas Insurance will offset losses from the drop in Atlas Insurance's long position.Pakistan State vs. Atlas Insurance | Pakistan State vs. Agritech | Pakistan State vs. Jubilee Life Insurance | Pakistan State vs. Ittehad Chemicals |
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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 Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.
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