Correlation Between Bank of Punjab and Pakistan Reinsurance
Can any of the company-specific risk be diversified away by investing in both Bank of Punjab and Pakistan Reinsurance 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 Pakistan Reinsurance 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 Pakistan Reinsurance, you can compare the effects of market volatilities on Bank of Punjab and Pakistan Reinsurance 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 Pakistan Reinsurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of Punjab and Pakistan Reinsurance.
Diversification Opportunities for Bank of Punjab and Pakistan Reinsurance
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Bank and Pakistan is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Bank of Punjab and Pakistan Reinsurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pakistan Reinsurance 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 Pakistan Reinsurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pakistan Reinsurance has no effect on the direction of Bank of Punjab i.e., Bank of Punjab and Pakistan Reinsurance go up and down completely randomly.
Pair Corralation between Bank of Punjab and Pakistan Reinsurance
Assuming the 90 days trading horizon Bank of Punjab is expected to generate 1.13 times more return on investment than Pakistan Reinsurance. However, Bank of Punjab is 1.13 times more volatile than Pakistan Reinsurance. It trades about 0.28 of its potential returns per unit of risk. Pakistan Reinsurance is currently generating about 0.21 per unit of risk. If you would invest 545.00 in Bank of Punjab on October 10, 2024 and sell it today you would earn a total of 501.00 from holding Bank of Punjab or generate 91.93% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Bank of Punjab vs. Pakistan Reinsurance
Performance |
Timeline |
Bank of Punjab |
Pakistan Reinsurance |
Bank of Punjab and Pakistan Reinsurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of Punjab and Pakistan Reinsurance
The main advantage of trading using opposite Bank of Punjab and Pakistan Reinsurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of Punjab position performs unexpectedly, Pakistan Reinsurance 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 Reinsurance will offset losses from the drop in Pakistan Reinsurance's long position.Bank of Punjab vs. Ghandhara Automobile | Bank of Punjab vs. Crescent Steel Allied | Bank of Punjab vs. Amreli Steels | Bank of Punjab vs. Honda Atlas Cars |
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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 Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.
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