Correlation Between Masood Textile and Pakistan Tobacco
Can any of the company-specific risk be diversified away by investing in both Masood Textile 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 Masood Textile and Pakistan Tobacco into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Masood Textile Mills and Pakistan Tobacco, you can compare the effects of market volatilities on Masood Textile 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 Masood Textile with a short position of Pakistan Tobacco. Check out your portfolio center. Please also check ongoing floating volatility patterns of Masood Textile and Pakistan Tobacco.
Diversification Opportunities for Masood Textile and Pakistan Tobacco
-0.77 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Masood and Pakistan is -0.77. Overlapping area represents the amount of risk that can be diversified away by holding Masood Textile Mills and Pakistan Tobacco in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pakistan Tobacco and Masood Textile 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 Masood Textile Mills 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 Masood Textile i.e., Masood Textile and Pakistan Tobacco go up and down completely randomly.
Pair Corralation between Masood Textile and Pakistan Tobacco
Assuming the 90 days trading horizon Masood Textile Mills is expected to under-perform the Pakistan Tobacco. In addition to that, Masood Textile is 1.57 times more volatile than Pakistan Tobacco. It trades about -0.05 of its total potential returns per unit of risk. Pakistan Tobacco is currently generating about 0.23 per unit of volatility. If you would invest 86,306 in Pakistan Tobacco on September 12, 2024 and sell it today you would earn a total of 40,973 from holding Pakistan Tobacco or generate 47.47% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 76.56% |
Values | Daily Returns |
Masood Textile Mills vs. Pakistan Tobacco
Performance |
Timeline |
Masood Textile Mills |
Pakistan Tobacco |
Masood Textile and Pakistan Tobacco Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Masood Textile and Pakistan Tobacco
The main advantage of trading using opposite Masood Textile and Pakistan Tobacco positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Masood Textile 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.Masood Textile vs. Fauji Foods | Masood Textile vs. KSB Pumps | Masood Textile vs. Mari Petroleum | Masood Textile vs. Loads |
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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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