Correlation Between Regions Financial and SCANSOURCE
Can any of the company-specific risk be diversified away by investing in both Regions Financial and SCANSOURCE 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 Regions Financial and SCANSOURCE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Regions Financial and SCANSOURCE, you can compare the effects of market volatilities on Regions Financial and SCANSOURCE 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 Regions Financial with a short position of SCANSOURCE. Check out your portfolio center. Please also check ongoing floating volatility patterns of Regions Financial and SCANSOURCE.
Diversification Opportunities for Regions Financial and SCANSOURCE
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Regions and SCANSOURCE is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Regions Financial and SCANSOURCE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SCANSOURCE and Regions Financial 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 Regions Financial are associated (or correlated) with SCANSOURCE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SCANSOURCE has no effect on the direction of Regions Financial i.e., Regions Financial and SCANSOURCE go up and down completely randomly.
Pair Corralation between Regions Financial and SCANSOURCE
Assuming the 90 days horizon Regions Financial is expected to generate 0.79 times more return on investment than SCANSOURCE. However, Regions Financial is 1.26 times less risky than SCANSOURCE. It trades about 0.24 of its potential returns per unit of risk. SCANSOURCE is currently generating about 0.15 per unit of risk. If you would invest 1,730 in Regions Financial on April 24, 2025 and sell it today you would earn a total of 490.00 from holding Regions Financial or generate 28.32% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Regions Financial vs. SCANSOURCE
Performance |
Timeline |
Regions Financial |
SCANSOURCE |
Regions Financial and SCANSOURCE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Regions Financial and SCANSOURCE
The main advantage of trading using opposite Regions Financial and SCANSOURCE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Regions Financial position performs unexpectedly, SCANSOURCE 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 SCANSOURCE will offset losses from the drop in SCANSOURCE's long position.Regions Financial vs. Entravision Communications | Regions Financial vs. Ribbon Communications | Regions Financial vs. CENTURIA OFFICE REIT | Regions Financial vs. bet at home AG |
SCANSOURCE vs. Regions Financial | SCANSOURCE vs. S E BANKEN A | SCANSOURCE vs. Commonwealth Bank of | SCANSOURCE vs. TV BROADCAST |
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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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