Correlation Between Aisha Steel and Pakistan Petroleum
Can any of the company-specific risk be diversified away by investing in both Aisha Steel and Pakistan Petroleum 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 Aisha Steel and Pakistan Petroleum into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Aisha Steel Mills and Pakistan Petroleum, you can compare the effects of market volatilities on Aisha Steel and Pakistan Petroleum 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 Aisha Steel with a short position of Pakistan Petroleum. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aisha Steel and Pakistan Petroleum.
Diversification Opportunities for Aisha Steel and Pakistan Petroleum
0.75 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Aisha and Pakistan is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding Aisha Steel Mills and Pakistan Petroleum in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pakistan Petroleum and Aisha Steel 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 Aisha Steel Mills are associated (or correlated) with Pakistan Petroleum. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pakistan Petroleum has no effect on the direction of Aisha Steel i.e., Aisha Steel and Pakistan Petroleum go up and down completely randomly.
Pair Corralation between Aisha Steel and Pakistan Petroleum
Assuming the 90 days trading horizon Aisha Steel Mills is expected to generate 1.53 times more return on investment than Pakistan Petroleum. However, Aisha Steel is 1.53 times more volatile than Pakistan Petroleum. It trades about 0.31 of its potential returns per unit of risk. Pakistan Petroleum is currently generating about 0.27 per unit of risk. If you would invest 715.00 in Aisha Steel Mills on September 12, 2024 and sell it today you would earn a total of 262.00 from holding Aisha Steel Mills or generate 36.64% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Aisha Steel Mills vs. Pakistan Petroleum
Performance |
Timeline |
Aisha Steel Mills |
Pakistan Petroleum |
Aisha Steel and Pakistan Petroleum Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Aisha Steel and Pakistan Petroleum
The main advantage of trading using opposite Aisha Steel and Pakistan Petroleum positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aisha Steel position performs unexpectedly, Pakistan Petroleum 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 Petroleum will offset losses from the drop in Pakistan Petroleum's long position.Aisha Steel vs. Masood Textile Mills | Aisha Steel vs. Fauji Foods | Aisha Steel vs. KSB Pumps | Aisha Steel vs. Mari Petroleum |
Pakistan Petroleum vs. Masood Textile Mills | Pakistan Petroleum vs. Fauji Foods | Pakistan Petroleum vs. KSB Pumps | Pakistan Petroleum vs. Mari Petroleum |
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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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