Correlation Between Wah Nobel and Pakistan Tobacco
Can any of the company-specific risk be diversified away by investing in both Wah Nobel and Pakistan Tobacco 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 Tobacco 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 Tobacco, you can compare the effects of market volatilities on Wah Nobel and Pakistan Tobacco 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 Tobacco. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wah Nobel and Pakistan Tobacco.
Diversification Opportunities for Wah Nobel and Pakistan Tobacco
0.63 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Wah and Pakistan is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding Wah Nobel Chemicals and Pakistan Tobacco in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pakistan Tobacco 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 Tobacco. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pakistan Tobacco has no effect on the direction of Wah Nobel i.e., Wah Nobel and Pakistan Tobacco go up and down completely randomly.
Pair Corralation between Wah Nobel and Pakistan Tobacco
Assuming the 90 days trading horizon Wah Nobel is expected to generate 17.6 times less return on investment than Pakistan Tobacco. But when comparing it to its historical volatility, Wah Nobel Chemicals is 1.15 times less risky than Pakistan Tobacco. It trades about 0.02 of its potential returns per unit of risk. Pakistan Tobacco is currently generating about 0.24 of returns per unit of risk over similar time horizon. If you would invest 86,306 in Pakistan Tobacco on September 12, 2024 and sell it today you would earn a total of 41,694 from holding Pakistan Tobacco or generate 48.31% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Wah Nobel Chemicals vs. Pakistan Tobacco
Performance |
Timeline |
Wah Nobel Chemicals |
Pakistan Tobacco |
Wah Nobel and Pakistan Tobacco Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Wah Nobel and Pakistan Tobacco
The main advantage of trading using opposite Wah Nobel and Pakistan Tobacco positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wah Nobel position performs unexpectedly, Pakistan Tobacco 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 Tobacco will offset losses from the drop in Pakistan Tobacco's long position.Wah Nobel vs. Masood Textile Mills | Wah Nobel vs. Fauji Foods | Wah Nobel vs. KSB Pumps | Wah Nobel vs. Mari Petroleum |
Pakistan Tobacco vs. Masood Textile Mills | Pakistan Tobacco vs. Fauji Foods | Pakistan Tobacco vs. KSB Pumps | Pakistan Tobacco 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 CEOs Directory module to screen CEOs from public companies around the world.
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