Correlation Between Citigroup and Doubleline Long
Can any of the company-specific risk be diversified away by investing in both Citigroup and Doubleline Long 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 Doubleline Long into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Citigroup and Doubleline Long Duration, you can compare the effects of market volatilities on Citigroup and Doubleline Long 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 Doubleline Long. Check out your portfolio center. Please also check ongoing floating volatility patterns of Citigroup and Doubleline Long.
Diversification Opportunities for Citigroup and Doubleline Long
-0.8 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Citigroup and Doubleline is -0.8. Overlapping area represents the amount of risk that can be diversified away by holding Citigroup and Doubleline Long Duration in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Doubleline Long Duration 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 Doubleline Long. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Doubleline Long Duration has no effect on the direction of Citigroup i.e., Citigroup and Doubleline Long go up and down completely randomly.
Pair Corralation between Citigroup and Doubleline Long
Taking into account the 90-day investment horizon Citigroup is expected to generate 2.16 times more return on investment than Doubleline Long. However, Citigroup is 2.16 times more volatile than Doubleline Long Duration. It trades about 0.09 of its potential returns per unit of risk. Doubleline Long Duration is currently generating about 0.02 per unit of risk. If you would invest 5,476 in Citigroup on September 1, 2024 and sell it today you would earn a total of 1,611 from holding Citigroup or generate 29.42% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Significant |
| Accuracy | 99.47% |
| Values | Daily Returns |
Citigroup vs. Doubleline Long Duration
Performance |
| Timeline |
| Citigroup |
| Doubleline Long Duration |
Citigroup and Doubleline Long Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Citigroup and Doubleline Long
The main advantage of trading using opposite Citigroup and Doubleline Long positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Citigroup position performs unexpectedly, Doubleline Long 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 Doubleline Long will offset losses from the drop in Doubleline Long's long position.| Citigroup vs. JPMorgan Chase Co | Citigroup vs. Wells Fargo | Citigroup vs. Toronto Dominion Bank | Citigroup vs. Nu Holdings |
| Doubleline Long vs. Strategic Allocation Aggressive | Doubleline Long vs. Lgm Risk Managed | Doubleline Long vs. T Rowe Price | Doubleline Long vs. Alliancebernstein Global High |
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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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