Correlation Between Regions Financial and Carsales
Can any of the company-specific risk be diversified away by investing in both Regions Financial and Carsales 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 Carsales into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Regions Financial and Carsales, you can compare the effects of market volatilities on Regions Financial and Carsales 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 Carsales. Check out your portfolio center. Please also check ongoing floating volatility patterns of Regions Financial and Carsales.
Diversification Opportunities for Regions Financial and Carsales
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Regions and Carsales is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding Regions Financial and Carsales in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Carsales 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 Carsales. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Carsales has no effect on the direction of Regions Financial i.e., Regions Financial and Carsales go up and down completely randomly.
Pair Corralation between Regions Financial and Carsales
Assuming the 90 days horizon Regions Financial is expected to under-perform the Carsales. But the stock apears to be less risky and, when comparing its historical volatility, Regions Financial is 1.31 times less risky than Carsales. The stock trades about -0.17 of its potential returns per unit of risk. The Carsales is currently generating about -0.11 of returns per unit of risk over similar time horizon. If you would invest 2,540 in Carsales on November 29, 2024 and sell it today you would lose (320.00) from holding Carsales or give up 12.6% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Regions Financial vs. Carsales
Performance |
Timeline |
Regions Financial |
Carsales |
Regions Financial and Carsales Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Regions Financial and Carsales
The main advantage of trading using opposite Regions Financial and Carsales positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Regions Financial position performs unexpectedly, Carsales 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 Carsales will offset losses from the drop in Carsales' long position.Regions Financial vs. Elmos Semiconductor SE | Regions Financial vs. CENTURIA OFFICE REIT | Regions Financial vs. Taiwan Semiconductor Manufacturing | Regions Financial vs. Autohome |
Carsales vs. T MOBILE US | Carsales vs. T Mobile | Carsales vs. INTER CARS SA | Carsales vs. Motorcar Parts of |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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