Correlation Between NYSE Composite and Citigroup
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Citigroup 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 NYSE Composite and Citigroup into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Citigroup, you can compare the effects of market volatilities on NYSE Composite and Citigroup 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 NYSE Composite with a short position of Citigroup. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Citigroup.
Diversification Opportunities for NYSE Composite and Citigroup
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between NYSE and Citigroup is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Citigroup in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Citigroup and NYSE Composite 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 NYSE Composite are associated (or correlated) with Citigroup. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Citigroup has no effect on the direction of NYSE Composite i.e., NYSE Composite and Citigroup go up and down completely randomly.
Pair Corralation between NYSE Composite and Citigroup
Assuming the 90 days trading horizon NYSE Composite is expected to generate 2.83 times less return on investment than Citigroup. But when comparing it to its historical volatility, NYSE Composite is 3.14 times less risky than Citigroup. It trades about 0.23 of its potential returns per unit of risk. Citigroup is currently generating about 0.21 of returns per unit of risk over similar time horizon. If you would invest 6,360 in Citigroup on August 29, 2024 and sell it today you would earn a total of 615.00 from holding Citigroup or generate 9.67% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
NYSE Composite vs. Citigroup
Performance |
| Timeline |
NYSE Composite and Citigroup Volatility Contrast
Predicted Return Density |
| Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Citigroup
Pair trading matchups for Citigroup
Pair Trading with NYSE Composite and Citigroup
The main advantage of trading using opposite NYSE Composite and Citigroup positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Citigroup 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 Citigroup will offset losses from the drop in Citigroup's long position.| NYSE Composite vs. Sphere Entertainment Co | NYSE Composite vs. Weibo Corp | NYSE Composite vs. BCE Inc | NYSE Composite vs. Pinterest |
| Citigroup vs. JPMorgan Chase Co | Citigroup vs. Wells Fargo | Citigroup vs. Toronto Dominion Bank | Citigroup vs. Nu Holdings |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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