Correlation Between Citigroup and Segall Bryant
Can any of the company-specific risk be diversified away by investing in both Citigroup and Segall Bryant 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 Segall Bryant into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Citigroup and Segall Bryant Hamill, you can compare the effects of market volatilities on Citigroup and Segall Bryant 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 Segall Bryant. Check out your portfolio center. Please also check ongoing floating volatility patterns of Citigroup and Segall Bryant.
Diversification Opportunities for Citigroup and Segall Bryant
-0.56 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Citigroup and Segall is -0.56. Overlapping area represents the amount of risk that can be diversified away by holding Citigroup and Segall Bryant Hamill in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Segall Bryant Hamill 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 Segall Bryant. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Segall Bryant Hamill has no effect on the direction of Citigroup i.e., Citigroup and Segall Bryant go up and down completely randomly.
Pair Corralation between Citigroup and Segall Bryant
Taking into account the 90-day investment horizon Citigroup is expected to generate 1.94 times more return on investment than Segall Bryant. However, Citigroup is 1.94 times more volatile than Segall Bryant Hamill. It trades about 0.07 of its potential returns per unit of risk. Segall Bryant Hamill is currently generating about 0.06 per unit of risk. If you would invest 4,206 in Citigroup on August 26, 2024 and sell it today you would earn a total of 2,778 from holding Citigroup or generate 66.05% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Citigroup vs. Segall Bryant Hamill
Performance |
Timeline |
Citigroup |
Segall Bryant Hamill |
Citigroup and Segall Bryant Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Citigroup and Segall Bryant
The main advantage of trading using opposite Citigroup and Segall Bryant positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Citigroup position performs unexpectedly, Segall Bryant 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 Segall Bryant will offset losses from the drop in Segall Bryant's long position.Citigroup vs. Toronto Dominion Bank | Citigroup vs. Nu Holdings | Citigroup vs. HSBC Holdings PLC | Citigroup vs. Bank of Montreal |
Segall Bryant vs. Segall Bryant Hamill | Segall Bryant vs. Segall Bryant Hamill | Segall Bryant vs. Segall Bryant Hamill | Segall Bryant vs. Segall Bryant Hamill |
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 Cryptocurrency Center module to build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency.
Other Complementary Tools
Commodity Channel Use Commodity Channel Index to analyze current equity momentum | |
Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk |