Correlation Between Hancock Whitney and DBS Group
Can any of the company-specific risk be diversified away by investing in both Hancock Whitney and DBS Group 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 DBS Group 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 DBS Group Holdings, you can compare the effects of market volatilities on Hancock Whitney and DBS Group 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 DBS Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hancock Whitney and DBS Group.
Diversification Opportunities for Hancock Whitney and DBS Group
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Hancock and DBS is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Hancock Whitney Corp and DBS Group Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DBS Group Holdings 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 DBS Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DBS Group Holdings has no effect on the direction of Hancock Whitney i.e., Hancock Whitney and DBS Group go up and down completely randomly.
Pair Corralation between Hancock Whitney and DBS Group
Considering the 90-day investment horizon Hancock Whitney is expected to generate 1.99 times less return on investment than DBS Group. But when comparing it to its historical volatility, Hancock Whitney Corp is 1.24 times less risky than DBS Group. It trades about 0.03 of its potential returns per unit of risk. DBS Group Holdings is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 2,048 in DBS Group Holdings on September 26, 2024 and sell it today you would earn a total of 1,230 from holding DBS Group Holdings or generate 60.06% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Hancock Whitney Corp vs. DBS Group Holdings
Performance |
Timeline |
Hancock Whitney Corp |
DBS Group Holdings |
Hancock Whitney and DBS Group Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hancock Whitney and DBS Group
The main advantage of trading using opposite Hancock Whitney and DBS Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hancock Whitney position performs unexpectedly, DBS Group 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 DBS Group will offset losses from the drop in DBS Group'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 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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