Correlation Between National Bank and United Insurance
Can any of the company-specific risk be diversified away by investing in both National Bank and United Insurance 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 National Bank and United Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between National Bank of and United Insurance, you can compare the effects of market volatilities on National Bank and United Insurance 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 National Bank with a short position of United Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of National Bank and United Insurance.
Diversification Opportunities for National Bank and United Insurance
0.63 | Correlation Coefficient |
Poor diversification
The 3 months correlation between National and United is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding National Bank of and United Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on United Insurance and National Bank 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 National Bank of are associated (or correlated) with United Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of United Insurance has no effect on the direction of National Bank i.e., National Bank and United Insurance go up and down completely randomly.
Pair Corralation between National Bank and United Insurance
Assuming the 90 days trading horizon National Bank of is expected to generate 2.87 times more return on investment than United Insurance. However, National Bank is 2.87 times more volatile than United Insurance. It trades about 0.26 of its potential returns per unit of risk. United Insurance is currently generating about 0.08 per unit of risk. If you would invest 6,105 in National Bank of on September 15, 2024 and sell it today you would earn a total of 1,126 from holding National Bank of or generate 18.44% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
National Bank of vs. United Insurance
Performance |
Timeline |
National Bank |
United Insurance |
National Bank and United Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with National Bank and United Insurance
The main advantage of trading using opposite National Bank and United Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if National Bank position performs unexpectedly, United Insurance 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 United Insurance will offset losses from the drop in United Insurance's long position.National Bank vs. Masood Textile Mills | National Bank vs. Fauji Foods | National Bank vs. KSB Pumps | National Bank vs. Mari Petroleum |
United Insurance vs. Masood Textile Mills | United Insurance vs. Fauji Foods | United Insurance vs. KSB Pumps | United Insurance vs. Mari Petroleum |
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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