Correlation Between Regions Financial and Prosiebensat
Can any of the company-specific risk be diversified away by investing in both Regions Financial and Prosiebensat 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 Prosiebensat into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Regions Financial Corp and Prosiebensat 1 Media, you can compare the effects of market volatilities on Regions Financial and Prosiebensat 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 Prosiebensat. Check out your portfolio center. Please also check ongoing floating volatility patterns of Regions Financial and Prosiebensat.
Diversification Opportunities for Regions Financial and Prosiebensat
-0.55 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Regions and Prosiebensat is -0.55. Overlapping area represents the amount of risk that can be diversified away by holding Regions Financial Corp and Prosiebensat 1 Media in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Prosiebensat 1 Media 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 Corp are associated (or correlated) with Prosiebensat. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Prosiebensat 1 Media has no effect on the direction of Regions Financial i.e., Regions Financial and Prosiebensat go up and down completely randomly.
Pair Corralation between Regions Financial and Prosiebensat
Assuming the 90 days trading horizon Regions Financial Corp is expected to generate 0.66 times more return on investment than Prosiebensat. However, Regions Financial Corp is 1.51 times less risky than Prosiebensat. It trades about 0.04 of its potential returns per unit of risk. Prosiebensat 1 Media is currently generating about -0.09 per unit of risk. If you would invest 2,350 in Regions Financial Corp on October 22, 2024 and sell it today you would earn a total of 94.00 from holding Regions Financial Corp or generate 4.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Regions Financial Corp vs. Prosiebensat 1 Media
Performance |
Timeline |
Regions Financial Corp |
Prosiebensat 1 Media |
Regions Financial and Prosiebensat Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Regions Financial and Prosiebensat
The main advantage of trading using opposite Regions Financial and Prosiebensat positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Regions Financial position performs unexpectedly, Prosiebensat 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 Prosiebensat will offset losses from the drop in Prosiebensat's long position.Regions Financial vs. MediaZest plc | Regions Financial vs. Kaufman Et Broad | Regions Financial vs. Hollywood Bowl Group | Regions Financial vs. Scandinavian Tobacco Group |
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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 Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
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