Correlation Between Citigroup and RYU Apparel
Can any of the company-specific risk be diversified away by investing in both Citigroup and RYU Apparel 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 RYU Apparel into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Citigroup and RYU Apparel, you can compare the effects of market volatilities on Citigroup and RYU Apparel 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 RYU Apparel. Check out your portfolio center. Please also check ongoing floating volatility patterns of Citigroup and RYU Apparel.
Diversification Opportunities for Citigroup and RYU Apparel
-0.42 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Citigroup and RYU is -0.42. Overlapping area represents the amount of risk that can be diversified away by holding Citigroup and RYU Apparel in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on RYU Apparel 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 RYU Apparel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of RYU Apparel has no effect on the direction of Citigroup i.e., Citigroup and RYU Apparel go up and down completely randomly.
Pair Corralation between Citigroup and RYU Apparel
If you would invest 7,135 in Citigroup on October 26, 2024 and sell it today you would earn a total of 1,034 from holding Citigroup or generate 14.49% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 5.56% |
Values | Daily Returns |
Citigroup vs. RYU Apparel
Performance |
Timeline |
Citigroup |
RYU Apparel |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Citigroup and RYU Apparel Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Citigroup and RYU Apparel
The main advantage of trading using opposite Citigroup and RYU Apparel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Citigroup position performs unexpectedly, RYU Apparel 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 RYU Apparel will offset losses from the drop in RYU Apparel's long position.Citigroup vs. JPMorgan Chase Co | Citigroup vs. Wells Fargo | Citigroup vs. Toronto Dominion Bank | Citigroup vs. Nu Holdings |
RYU Apparel vs. H M Hennes | RYU Apparel vs. Xcel Brands | RYU Apparel vs. Oxford Industries | RYU Apparel vs. H M Hennes |
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 Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.
Other Complementary Tools
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
Transaction History View history of all your transactions and understand their impact on performance | |
Insider Screener Find insiders across different sectors to evaluate their impact on performance |