Correlation Between Hancock Whitney and Overseas Chinese
Can any of the company-specific risk be diversified away by investing in both Hancock Whitney and Overseas Chinese 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 Hancock Whitney and Overseas Chinese into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hancock Whitney Corp and Overseas Chinese Banking, you can compare the effects of market volatilities on Hancock Whitney and Overseas Chinese 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 Hancock Whitney with a short position of Overseas Chinese. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hancock Whitney and Overseas Chinese.
Diversification Opportunities for Hancock Whitney and Overseas Chinese
0.57 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Hancock and Overseas is 0.57. Overlapping area represents the amount of risk that can be diversified away by holding Hancock Whitney Corp and Overseas Chinese Banking in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Overseas Chinese Banking and Hancock Whitney 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 Hancock Whitney Corp are associated (or correlated) with Overseas Chinese. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Overseas Chinese Banking has no effect on the direction of Hancock Whitney i.e., Hancock Whitney and Overseas Chinese go up and down completely randomly.
Pair Corralation between Hancock Whitney and Overseas Chinese
Considering the 90-day investment horizon Hancock Whitney Corp is expected to generate 2.04 times more return on investment than Overseas Chinese. However, Hancock Whitney is 2.04 times more volatile than Overseas Chinese Banking. It trades about 0.18 of its potential returns per unit of risk. Overseas Chinese Banking is currently generating about 0.09 per unit of risk. If you would invest 5,250 in Hancock Whitney Corp on August 30, 2024 and sell it today you would earn a total of 784.00 from holding Hancock Whitney Corp or generate 14.93% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 95.65% |
Values | Daily Returns |
Hancock Whitney Corp vs. Overseas Chinese Banking
Performance |
Timeline |
Hancock Whitney Corp |
Overseas Chinese Banking |
Hancock Whitney and Overseas Chinese Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hancock Whitney and Overseas Chinese
The main advantage of trading using opposite Hancock Whitney and Overseas Chinese positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hancock Whitney position performs unexpectedly, Overseas Chinese 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 Overseas Chinese will offset losses from the drop in Overseas Chinese's long position.Hancock Whitney vs. Home Bancorp | Hancock Whitney vs. First Business Financial | Hancock Whitney vs. LINKBANCORP | Hancock Whitney vs. Great Southern Bancorp |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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