Correlation Between United Insurance and Pakistan National
Can any of the company-specific risk be diversified away by investing in both United Insurance and Pakistan National 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 United Insurance and Pakistan National into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between United Insurance and Pakistan National Shipping, you can compare the effects of market volatilities on United Insurance and Pakistan National 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 United Insurance with a short position of Pakistan National. Check out your portfolio center. Please also check ongoing floating volatility patterns of United Insurance and Pakistan National.
Diversification Opportunities for United Insurance and Pakistan National
0.41 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between United and Pakistan is 0.41. Overlapping area represents the amount of risk that can be diversified away by holding United Insurance and Pakistan National Shipping in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pakistan National and United Insurance 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 United Insurance are associated (or correlated) with Pakistan National. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pakistan National has no effect on the direction of United Insurance i.e., United Insurance and Pakistan National go up and down completely randomly.
Pair Corralation between United Insurance and Pakistan National
Assuming the 90 days trading horizon United Insurance is expected to generate 1.68 times less return on investment than Pakistan National. But when comparing it to its historical volatility, United Insurance is 1.07 times less risky than Pakistan National. It trades about 0.12 of its potential returns per unit of risk. Pakistan National Shipping is currently generating about 0.19 of returns per unit of risk over similar time horizon. If you would invest 5,234 in Pakistan National Shipping on September 27, 2024 and sell it today you would earn a total of 44,913 from holding Pakistan National Shipping or generate 858.1% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 95.46% |
Values | Daily Returns |
United Insurance vs. Pakistan National Shipping
Performance |
Timeline |
United Insurance |
Pakistan National |
United Insurance and Pakistan National Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with United Insurance and Pakistan National
The main advantage of trading using opposite United Insurance and Pakistan National positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if United Insurance position performs unexpectedly, Pakistan National 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 National will offset losses from the drop in Pakistan National's long position.United Insurance vs. Amreli Steels | United Insurance vs. ITTEFAQ Iron Industries | United Insurance vs. Ittehad Chemicals | United Insurance vs. Dost 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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