Correlation Between Alfa Financial and Synchrony Financial
Can any of the company-specific risk be diversified away by investing in both Alfa Financial and Synchrony 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 Alfa Financial and Synchrony Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Alfa Financial Software and Synchrony Financial, you can compare the effects of market volatilities on Alfa Financial and Synchrony 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 Alfa Financial with a short position of Synchrony Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Alfa Financial and Synchrony Financial.
Diversification Opportunities for Alfa Financial and Synchrony Financial
-0.44 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Alfa and Synchrony is -0.44. Overlapping area represents the amount of risk that can be diversified away by holding Alfa Financial Software and Synchrony Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Synchrony Financial and Alfa 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 Alfa Financial Software are associated (or correlated) with Synchrony Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Synchrony Financial has no effect on the direction of Alfa Financial i.e., Alfa Financial and Synchrony Financial go up and down completely randomly.
Pair Corralation between Alfa Financial and Synchrony Financial
Assuming the 90 days trading horizon Alfa Financial Software is expected to generate 0.75 times more return on investment than Synchrony Financial. However, Alfa Financial Software is 1.34 times less risky than Synchrony Financial. It trades about 0.05 of its potential returns per unit of risk. Synchrony Financial is currently generating about -0.19 per unit of risk. If you would invest 248.00 in Alfa Financial Software on December 21, 2024 and sell it today you would earn a total of 10.00 from holding Alfa Financial Software or generate 4.03% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Alfa Financial Software vs. Synchrony Financial
Performance |
Timeline |
Alfa Financial Software |
Synchrony Financial |
Alfa Financial and Synchrony Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Alfa Financial and Synchrony Financial
The main advantage of trading using opposite Alfa Financial and Synchrony Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alfa Financial position performs unexpectedly, Synchrony 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 Synchrony Financial will offset losses from the drop in Synchrony Financial's long position.Alfa Financial vs. MARKET VECTR RETAIL | Alfa Financial vs. USWE SPORTS AB | Alfa Financial vs. Gaming and Leisure | Alfa Financial vs. Playa Hotels Resorts |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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