Correlation Between Citigroup and Datasea
Can any of the company-specific risk be diversified away by investing in both Citigroup and Datasea 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 Datasea into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Citigroup and  Datasea, you can compare the effects of market volatilities on Citigroup and Datasea 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 Datasea. Check out  your portfolio center. Please also check ongoing floating volatility patterns of Citigroup and Datasea.
	
Diversification Opportunities for Citigroup and Datasea
Very weak diversification
The 3 months correlation between Citigroup and Datasea is 0.56. Overlapping area represents the amount of risk that can be diversified away by holding Citigroup and Datasea in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Datasea 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 Datasea. Values of the correlation coefficient range from -1 to +1, where. The  correlation of zero (0) is possible when the price movement of Datasea has no effect on the direction of Citigroup i.e., Citigroup and Datasea go up and down completely randomly.
Pair Corralation between Citigroup and Datasea
Taking into account the 90-day investment horizon Citigroup is expected to generate 0.45 times more return on investment than Datasea.  However, Citigroup is 2.21 times less risky than Datasea.  It trades about 0.1 of its potential returns per unit of risk. Datasea is currently generating about 0.02 per unit of risk.  If you would invest  9,208  in Citigroup on August 2, 2025 and sell it today you would earn a total of  814.00  from holding Citigroup or generate 8.84% return on investment  over 90 days. 
| Time Period | 3 Months [change] | 
| Direction | Moves Together | 
| Strength | Weak | 
| Accuracy | 100.0% | 
| Values | Daily Returns | 
Citigroup vs. Datasea
|  Performance  | 
| Timeline | 
| Citigroup | 
| Datasea | 
Citigroup and Datasea Volatility Contrast
|    Predicted Return Density    | 
| Returns | 
Pair Trading with Citigroup and Datasea
The main advantage of trading using opposite Citigroup and Datasea positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Citigroup position performs unexpectedly, Datasea 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 Datasea will offset losses from the drop in Datasea's long position.| Citigroup vs. Mitsubishi UFJ Financial | Citigroup vs. Royal Bank of | Citigroup vs. Bank of America | Citigroup vs. Wells Fargo | 
| Datasea vs. Hub Cyber Security | Datasea vs. XBP Europe Holdings | Datasea vs. Bridgeline Digital | Datasea vs. Infrared Cameras 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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
Other Complementary Tools
| Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
| Top Crypto Exchanges Search and analyze digital assets across top global cryptocurrency exchanges | |
| Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
| Idea Analyzer Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas |