Correlation Between Citigroup and FedEx
Can any of the company-specific risk be diversified away by investing in both Citigroup and FedEx 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 FedEx into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Citigroup and FedEx, you can compare the effects of market volatilities on Citigroup and FedEx 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 FedEx. Check out your portfolio center. Please also check ongoing floating volatility patterns of Citigroup and FedEx.
Diversification Opportunities for Citigroup and FedEx
Average diversification
The 3 months correlation between Citigroup and FedEx is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding Citigroup and FedEx in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FedEx 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 FedEx. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FedEx has no effect on the direction of Citigroup i.e., Citigroup and FedEx go up and down completely randomly.
Pair Corralation between Citigroup and FedEx
Taking into account the 90-day investment horizon Citigroup is expected to generate 1.01 times more return on investment than FedEx. However, Citigroup is 1.01 times more volatile than FedEx. It trades about 0.03 of its potential returns per unit of risk. FedEx is currently generating about -0.1 per unit of risk. If you would invest 6,991 in Citigroup on December 28, 2024 and sell it today you would earn a total of 194.00 from holding Citigroup or generate 2.77% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Citigroup vs. FedEx
Performance |
Timeline |
Citigroup |
FedEx |
Citigroup and FedEx Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Citigroup and FedEx
The main advantage of trading using opposite Citigroup and FedEx positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Citigroup position performs unexpectedly, FedEx 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 FedEx will offset losses from the drop in FedEx's long position.Citigroup vs. PJT Partners | Citigroup vs. National Bank Holdings | Citigroup vs. FB Financial Corp | Citigroup vs. Northrim BanCorp |
FedEx vs. GXO Logistics | FedEx vs. JB Hunt Transport | FedEx vs. Expeditors International of | FedEx vs. CH Robinson Worldwide |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
Other Complementary Tools
Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum |