Correlation Between Hancock Whitney and FEC Resources
Can any of the company-specific risk be diversified away by investing in both Hancock Whitney and FEC Resources 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 FEC Resources 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 FEC Resources, you can compare the effects of market volatilities on Hancock Whitney and FEC Resources 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 FEC Resources. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hancock Whitney and FEC Resources.
Diversification Opportunities for Hancock Whitney and FEC Resources
-0.6 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Hancock and FEC is -0.6. Overlapping area represents the amount of risk that can be diversified away by holding Hancock Whitney Corp and FEC Resources in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FEC Resources 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 FEC Resources. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FEC Resources has no effect on the direction of Hancock Whitney i.e., Hancock Whitney and FEC Resources go up and down completely randomly.
Pair Corralation between Hancock Whitney and FEC Resources
Considering the 90-day investment horizon Hancock Whitney is expected to generate 8.4 times less return on investment than FEC Resources. But when comparing it to its historical volatility, Hancock Whitney Corp is 3.1 times less risky than FEC Resources. It trades about 0.06 of its potential returns per unit of risk. FEC Resources is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 0.17 in FEC Resources on September 24, 2024 and sell it today you would earn a total of 0.10 from holding FEC Resources or generate 58.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 97.67% |
Values | Daily Returns |
Hancock Whitney Corp vs. FEC Resources
Performance |
Timeline |
Hancock Whitney Corp |
FEC Resources |
Hancock Whitney and FEC Resources Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hancock Whitney and FEC Resources
The main advantage of trading using opposite Hancock Whitney and FEC Resources positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hancock Whitney position performs unexpectedly, FEC Resources 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 FEC Resources will offset losses from the drop in FEC Resources' long position.Hancock Whitney vs. Home Federal Bancorp | Hancock Whitney vs. First Northwest Bancorp | Hancock Whitney vs. HomeTrust Bancshares | Hancock Whitney vs. Lake Shore 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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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