Correlation Between Citigroup and Regional Health
Can any of the company-specific risk be diversified away by investing in both Citigroup and Regional Health 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 Citigroup and Regional Health into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Citigroup and Regional Health Properties, you can compare the effects of market volatilities on Citigroup and Regional Health 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 Citigroup with a short position of Regional Health. Check out your portfolio center. Please also check ongoing floating volatility patterns of Citigroup and Regional Health.
Diversification Opportunities for Citigroup and Regional Health
-0.44 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Citigroup and Regional is -0.44. Overlapping area represents the amount of risk that can be diversified away by holding Citigroup and Regional Health Properties in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Regional Health Prop and Citigroup 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 Citigroup are associated (or correlated) with Regional Health. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Regional Health Prop has no effect on the direction of Citigroup i.e., Citigroup and Regional Health go up and down completely randomly.
Pair Corralation between Citigroup and Regional Health
Taking into account the 90-day investment horizon Citigroup is expected to generate 63.28 times less return on investment than Regional Health. But when comparing it to its historical volatility, Citigroup is 14.09 times less risky than Regional Health. It trades about 0.03 of its potential returns per unit of risk. Regional Health Properties is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 153.00 in Regional Health Properties on December 29, 2024 and sell it today you would earn a total of 79.00 from holding Regional Health Properties or generate 51.63% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 40.98% |
Values | Daily Returns |
Citigroup vs. Regional Health Properties
Performance |
Timeline |
Citigroup |
Regional Health Prop |
Risk-Adjusted Performance
Good
Weak | Strong |
Citigroup and Regional Health Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Citigroup and Regional Health
The main advantage of trading using opposite Citigroup and Regional Health positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Citigroup position performs unexpectedly, Regional Health 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 Regional Health will offset losses from the drop in Regional Health's long position.Citigroup vs. PJT Partners | Citigroup vs. National Bank Holdings | Citigroup vs. FB Financial Corp | Citigroup vs. Northrim BanCorp |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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