Correlation Between Ghandhara Automobile and Shadab Textile
Can any of the company-specific risk be diversified away by investing in both Ghandhara Automobile and Shadab Textile 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 Ghandhara Automobile and Shadab Textile into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ghandhara Automobile and Shadab Textile Mills, you can compare the effects of market volatilities on Ghandhara Automobile and Shadab Textile 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 Ghandhara Automobile with a short position of Shadab Textile. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ghandhara Automobile and Shadab Textile.
Diversification Opportunities for Ghandhara Automobile and Shadab Textile
0.09 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Ghandhara and Shadab is 0.09. Overlapping area represents the amount of risk that can be diversified away by holding Ghandhara Automobile and Shadab Textile Mills in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shadab Textile Mills and Ghandhara Automobile 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 Ghandhara Automobile are associated (or correlated) with Shadab Textile. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shadab Textile Mills has no effect on the direction of Ghandhara Automobile i.e., Ghandhara Automobile and Shadab Textile go up and down completely randomly.
Pair Corralation between Ghandhara Automobile and Shadab Textile
Assuming the 90 days trading horizon Ghandhara Automobile is expected to generate 0.92 times more return on investment than Shadab Textile. However, Ghandhara Automobile is 1.08 times less risky than Shadab Textile. It trades about 0.17 of its potential returns per unit of risk. Shadab Textile Mills is currently generating about 0.06 per unit of risk. If you would invest 3,338 in Ghandhara Automobile on November 5, 2024 and sell it today you would earn a total of 43,466 from holding Ghandhara Automobile or generate 1302.16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 78.86% |
Values | Daily Returns |
Ghandhara Automobile vs. Shadab Textile Mills
Performance |
Timeline |
Ghandhara Automobile |
Shadab Textile Mills |
Ghandhara Automobile and Shadab Textile Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ghandhara Automobile and Shadab Textile
The main advantage of trading using opposite Ghandhara Automobile and Shadab Textile positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ghandhara Automobile position performs unexpectedly, Shadab Textile 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 Shadab Textile will offset losses from the drop in Shadab Textile's long position.Ghandhara Automobile vs. Air Link Communication | Ghandhara Automobile vs. JS Investments | Ghandhara Automobile vs. Data Agro | Ghandhara Automobile vs. International Steels |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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