Correlation Between Ghani Chemical and Pakistan Aluminium
Can any of the company-specific risk be diversified away by investing in both Ghani Chemical 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 Ghani Chemical and Pakistan Aluminium into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ghani Chemical Industries and Pakistan Aluminium Beverage, you can compare the effects of market volatilities on Ghani Chemical 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 Ghani Chemical with a short position of Pakistan Aluminium. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ghani Chemical and Pakistan Aluminium.
Diversification Opportunities for Ghani Chemical and Pakistan Aluminium
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Ghani and Pakistan is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Ghani Chemical Industries and Pakistan Aluminium Beverage in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pakistan Aluminium and Ghani Chemical 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 Ghani Chemical Industries 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 Ghani Chemical i.e., Ghani Chemical and Pakistan Aluminium go up and down completely randomly.
Pair Corralation between Ghani Chemical and Pakistan Aluminium
Assuming the 90 days trading horizon Ghani Chemical Industries is expected to generate 1.28 times more return on investment than Pakistan Aluminium. However, Ghani Chemical is 1.28 times more volatile than Pakistan Aluminium Beverage. It trades about 0.18 of its potential returns per unit of risk. Pakistan Aluminium Beverage is currently generating about 0.22 per unit of risk. If you would invest 950.00 in Ghani Chemical Industries on October 11, 2024 and sell it today you would earn a total of 553.00 from holding Ghani Chemical Industries or generate 58.21% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Ghani Chemical Industries vs. Pakistan Aluminium Beverage
Performance |
Timeline |
Ghani Chemical Industries |
Pakistan Aluminium |
Ghani Chemical and Pakistan Aluminium Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ghani Chemical and Pakistan Aluminium
The main advantage of trading using opposite Ghani Chemical and Pakistan Aluminium positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ghani Chemical 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.Ghani Chemical vs. TPL Insurance | Ghani Chemical vs. JS Investments | Ghani Chemical vs. Air Link Communication | Ghani Chemical vs. Atlas Insurance |
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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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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