Correlation Between Citigroup and Meridian Equity
Can any of the company-specific risk be diversified away by investing in both Citigroup and Meridian Equity 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 Meridian Equity into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Citigroup and Meridian Equity Income, you can compare the effects of market volatilities on Citigroup and Meridian Equity 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 Meridian Equity. Check out your portfolio center. Please also check ongoing floating volatility patterns of Citigroup and Meridian Equity.
Diversification Opportunities for Citigroup and Meridian Equity
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Citigroup and Meridian is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Citigroup and Meridian Equity Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Meridian Equity Income 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 Meridian Equity. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Meridian Equity Income has no effect on the direction of Citigroup i.e., Citigroup and Meridian Equity go up and down completely randomly.
Pair Corralation between Citigroup and Meridian Equity
Taking into account the 90-day investment horizon Citigroup is expected to generate 3.07 times more return on investment than Meridian Equity. However, Citigroup is 3.07 times more volatile than Meridian Equity Income. It trades about 0.07 of its potential returns per unit of risk. Meridian Equity Income is currently generating about 0.12 per unit of risk. If you would invest 6,079 in Citigroup on September 1, 2024 and sell it today you would earn a total of 1,008 from holding Citigroup or generate 16.58% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 99.21% |
| Values | Daily Returns |
Citigroup vs. Meridian Equity Income
Performance |
| Timeline |
| Citigroup |
| Meridian Equity Income |
Citigroup and Meridian Equity Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Citigroup and Meridian Equity
The main advantage of trading using opposite Citigroup and Meridian Equity positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Citigroup position performs unexpectedly, Meridian Equity 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 Meridian Equity will offset losses from the drop in Meridian Equity's long position.| Citigroup vs. JPMorgan Chase Co | Citigroup vs. Wells Fargo | Citigroup vs. Toronto Dominion Bank | Citigroup vs. Nu Holdings |
| Meridian Equity vs. Legg Mason Partners | Meridian Equity vs. Fidelity Capital Income | Meridian Equity vs. Western Asset High | Meridian Equity vs. American Century 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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