Correlation Between Bank of Punjab and Ghandhara Automobile
Can any of the company-specific risk be diversified away by investing in both Bank of Punjab and Ghandhara Automobile 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 Bank of Punjab and Ghandhara Automobile into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank of Punjab and Ghandhara Automobile, you can compare the effects of market volatilities on Bank of Punjab and Ghandhara Automobile 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 Bank of Punjab with a short position of Ghandhara Automobile. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of Punjab and Ghandhara Automobile.
Diversification Opportunities for Bank of Punjab and Ghandhara Automobile
0.51 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Bank and Ghandhara is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding Bank of Punjab and Ghandhara Automobile in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ghandhara Automobile and Bank of Punjab 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 Bank of Punjab are associated (or correlated) with Ghandhara Automobile. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ghandhara Automobile has no effect on the direction of Bank of Punjab i.e., Bank of Punjab and Ghandhara Automobile go up and down completely randomly.
Pair Corralation between Bank of Punjab and Ghandhara Automobile
Assuming the 90 days trading horizon Bank of Punjab is expected to generate 1.55 times less return on investment than Ghandhara Automobile. But when comparing it to its historical volatility, Bank of Punjab is 1.04 times less risky than Ghandhara Automobile. It trades about 0.17 of its potential returns per unit of risk. Ghandhara Automobile is currently generating about 0.25 of returns per unit of risk over similar time horizon. If you would invest 28,327 in Ghandhara Automobile on December 22, 2024 and sell it today you would earn a total of 18,050 from holding Ghandhara Automobile or generate 63.72% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Bank of Punjab vs. Ghandhara Automobile
Performance |
Timeline |
Bank of Punjab |
Ghandhara Automobile |
Bank of Punjab and Ghandhara Automobile Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of Punjab and Ghandhara Automobile
The main advantage of trading using opposite Bank of Punjab and Ghandhara Automobile positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of Punjab position performs unexpectedly, Ghandhara Automobile 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 Ghandhara Automobile will offset losses from the drop in Ghandhara Automobile's long position.Bank of Punjab vs. Quice Food Industries | Bank of Punjab vs. Pakistan Telecommunication | Bank of Punjab vs. Avanceon | Bank of Punjab vs. Metropolitan Steel Corp |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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