Correlation Between Bank of Punjab and Pak Datacom
Can any of the company-specific risk be diversified away by investing in both Bank of Punjab and Pak Datacom 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 Pak Datacom 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 Pak Datacom, you can compare the effects of market volatilities on Bank of Punjab and Pak Datacom 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 Pak Datacom. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of Punjab and Pak Datacom.
Diversification Opportunities for Bank of Punjab and Pak Datacom
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Bank and Pak is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Bank of Punjab and Pak Datacom in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pak Datacom 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 Pak Datacom. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pak Datacom has no effect on the direction of Bank of Punjab i.e., Bank of Punjab and Pak Datacom go up and down completely randomly.
Pair Corralation between Bank of Punjab and Pak Datacom
Assuming the 90 days trading horizon Bank of Punjab is expected to generate 13.39 times less return on investment than Pak Datacom. But when comparing it to its historical volatility, Bank of Punjab is 1.57 times less risky than Pak Datacom. It trades about 0.06 of its potential returns per unit of risk. Pak Datacom is currently generating about 0.47 of returns per unit of risk over similar time horizon. If you would invest 8,192 in Pak Datacom on October 9, 2024 and sell it today you would earn a total of 5,920 from holding Pak Datacom or generate 72.27% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Bank of Punjab vs. Pak Datacom
Performance |
Timeline |
Bank of Punjab |
Pak Datacom |
Bank of Punjab and Pak Datacom Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of Punjab and Pak Datacom
The main advantage of trading using opposite Bank of Punjab and Pak Datacom positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of Punjab position performs unexpectedly, Pak Datacom 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 Pak Datacom will offset losses from the drop in Pak Datacom's long position.Bank of Punjab vs. Pakistan Hotel Developers | Bank of Punjab vs. Allied Bank | Bank of Punjab vs. Soneri Bank | Bank of Punjab vs. Pakistan Aluminium Beverage |
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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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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