Correlation Between Wah Nobel and Pakistan Aluminium
Can any of the company-specific risk be diversified away by investing in both Wah Nobel 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 Wah Nobel and Pakistan Aluminium into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Wah Nobel Chemicals and Pakistan Aluminium Beverage, you can compare the effects of market volatilities on Wah Nobel 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 Wah Nobel with a short position of Pakistan Aluminium. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wah Nobel and Pakistan Aluminium.
Diversification Opportunities for Wah Nobel and Pakistan Aluminium
0.34 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Wah and Pakistan is 0.34. Overlapping area represents the amount of risk that can be diversified away by holding Wah Nobel Chemicals and Pakistan Aluminium Beverage in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pakistan Aluminium and Wah Nobel 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 Wah Nobel Chemicals 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 Wah Nobel i.e., Wah Nobel and Pakistan Aluminium go up and down completely randomly.
Pair Corralation between Wah Nobel and Pakistan Aluminium
Assuming the 90 days trading horizon Wah Nobel Chemicals is expected to generate 0.51 times more return on investment than Pakistan Aluminium. However, Wah Nobel Chemicals is 1.96 times less risky than Pakistan Aluminium. It trades about 0.22 of its potential returns per unit of risk. Pakistan Aluminium Beverage is currently generating about 0.01 per unit of risk. If you would invest 21,121 in Wah Nobel Chemicals on August 30, 2024 and sell it today you would earn a total of 1,318 from holding Wah Nobel Chemicals or generate 6.24% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Wah Nobel Chemicals vs. Pakistan Aluminium Beverage
Performance |
Timeline |
Wah Nobel Chemicals |
Pakistan Aluminium |
Wah Nobel and Pakistan Aluminium Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Wah Nobel and Pakistan Aluminium
The main advantage of trading using opposite Wah Nobel and Pakistan Aluminium positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wah Nobel 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.Wah Nobel vs. Agritech | Wah Nobel vs. Crescent Star Insurance | Wah Nobel vs. Air Link Communication | Wah Nobel vs. Pakistan Telecommunication |
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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 Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.
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