Correlation Between Pakistan Petroleum and Pakistan Aluminium
Can any of the company-specific risk be diversified away by investing in both Pakistan Petroleum and Pakistan Aluminium 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 Petroleum and Pakistan Aluminium into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pakistan Petroleum and Pakistan Aluminium Beverage, you can compare the effects of market volatilities on Pakistan Petroleum and Pakistan Aluminium 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 Petroleum with a short position of Pakistan Aluminium. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pakistan Petroleum and Pakistan Aluminium.
Diversification Opportunities for Pakistan Petroleum and Pakistan Aluminium
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Pakistan and Pakistan is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Pakistan Petroleum and Pakistan Aluminium Beverage in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pakistan Aluminium and Pakistan Petroleum 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 Petroleum are associated (or correlated) with Pakistan Aluminium. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pakistan Aluminium has no effect on the direction of Pakistan Petroleum i.e., Pakistan Petroleum and Pakistan Aluminium go up and down completely randomly.
Pair Corralation between Pakistan Petroleum and Pakistan Aluminium
Assuming the 90 days trading horizon Pakistan Petroleum is expected to generate 0.85 times more return on investment than Pakistan Aluminium. However, Pakistan Petroleum is 1.18 times less risky than Pakistan Aluminium. It trades about 0.2 of its potential returns per unit of risk. Pakistan Aluminium Beverage is currently generating about 0.15 per unit of risk. If you would invest 13,124 in Pakistan Petroleum on October 24, 2024 and sell it today you would earn a total of 5,469 from holding Pakistan Petroleum or generate 41.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Pakistan Petroleum vs. Pakistan Aluminium Beverage
Performance |
Timeline |
Pakistan Petroleum |
Pakistan Aluminium |
Pakistan Petroleum and Pakistan Aluminium Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pakistan Petroleum and Pakistan Aluminium
The main advantage of trading using opposite Pakistan Petroleum and Pakistan Aluminium positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pakistan Petroleum position performs unexpectedly, Pakistan Aluminium 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 Pakistan Aluminium will offset losses from the drop in Pakistan Aluminium's long position.Pakistan Petroleum vs. Askari Bank | Pakistan Petroleum vs. Fateh Sports Wear | Pakistan Petroleum vs. Shaheen Insurance | Pakistan Petroleum vs. Reliance Insurance Co |
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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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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