Correlation Between Prosiebensat and Regions Financial
Can any of the company-specific risk be diversified away by investing in both Prosiebensat and Regions Financial 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 Prosiebensat and Regions Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Prosiebensat 1 Media and Regions Financial Corp, you can compare the effects of market volatilities on Prosiebensat and Regions Financial 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 Prosiebensat with a short position of Regions Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Prosiebensat and Regions Financial.
Diversification Opportunities for Prosiebensat and Regions Financial
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Prosiebensat and Regions is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Prosiebensat 1 Media and Regions Financial Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Regions Financial Corp and Prosiebensat 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 Prosiebensat 1 Media are associated (or correlated) with Regions Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Regions Financial Corp has no effect on the direction of Prosiebensat i.e., Prosiebensat and Regions Financial go up and down completely randomly.
Pair Corralation between Prosiebensat and Regions Financial
Assuming the 90 days trading horizon Prosiebensat is expected to generate 1.17 times less return on investment than Regions Financial. In addition to that, Prosiebensat is 1.39 times more volatile than Regions Financial Corp. It trades about 0.17 of its total potential returns per unit of risk. Regions Financial Corp is currently generating about 0.28 per unit of volatility. If you would invest 1,851 in Regions Financial Corp on April 7, 2025 and sell it today you would earn a total of 633.00 from holding Regions Financial Corp or generate 34.2% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Prosiebensat 1 Media vs. Regions Financial Corp
Performance |
Timeline |
Prosiebensat 1 Media |
Regions Financial Corp |
Prosiebensat and Regions Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Prosiebensat and Regions Financial
The main advantage of trading using opposite Prosiebensat and Regions Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Prosiebensat position performs unexpectedly, Regions Financial 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 Regions Financial will offset losses from the drop in Regions Financial's long position.Prosiebensat vs. Impax Environmental Markets | Prosiebensat vs. Supermarket Income REIT | Prosiebensat vs. Medical Properties Trust | Prosiebensat vs. Monster Beverage Corp |
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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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
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