Correlation Between Citigroup and Fidelity Growth
Can any of the company-specific risk be diversified away by investing in both Citigroup and Fidelity Growth 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 Fidelity Growth into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Citigroup and Fidelity Growth Pany, you can compare the effects of market volatilities on Citigroup and Fidelity Growth 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 Fidelity Growth. Check out your portfolio center. Please also check ongoing floating volatility patterns of Citigroup and Fidelity Growth.
Diversification Opportunities for Citigroup and Fidelity Growth
0.87 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Citigroup and Fidelity is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding Citigroup and Fidelity Growth Pany in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fidelity Growth Pany 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 Fidelity Growth. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fidelity Growth Pany has no effect on the direction of Citigroup i.e., Citigroup and Fidelity Growth go up and down completely randomly.
Pair Corralation between Citigroup and Fidelity Growth
Taking into account the 90-day investment horizon Citigroup is expected to generate 1.37 times more return on investment than Fidelity Growth. However, Citigroup is 1.37 times more volatile than Fidelity Growth Pany. It trades about 0.13 of its potential returns per unit of risk. Fidelity Growth Pany is currently generating about 0.12 per unit of risk. If you would invest 4,053 in Citigroup on September 1, 2024 and sell it today you would earn a total of 3,034 from holding Citigroup or generate 74.86% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 99.63% |
| Values | Daily Returns |
Citigroup vs. Fidelity Growth Pany
Performance |
| Timeline |
| Citigroup |
| Fidelity Growth Pany |
Citigroup and Fidelity Growth Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Citigroup and Fidelity Growth
The main advantage of trading using opposite Citigroup and Fidelity Growth positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Citigroup position performs unexpectedly, Fidelity Growth 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 Fidelity Growth will offset losses from the drop in Fidelity Growth's long position.| Citigroup vs. JPMorgan Chase Co | Citigroup vs. Wells Fargo | Citigroup vs. Toronto Dominion Bank | Citigroup vs. Nu Holdings |
| Fidelity Growth vs. Fidelity Stock Selector | Fidelity Growth vs. Fidelity Focused Stock | Fidelity Growth vs. Fidelity Disciplined Equity | Fidelity Growth vs. Fidelity Stock Selector |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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